Abstract
The JID is a major resource for publishing dermatologic research. Here we document bibliometric systems that permit detailed analysis of JID’s relative scientific quality. We provide an overview of metrics employed by ISI Thomson Reuters Web of Knowledge and Elsevier’s open-access Scopus to measure JID’s comparative performance. We list JID’s 50 most cited articles between 1986 and 2010 and summarize the six most cited papers published during this period. We conclude by showing how selected cited papers have influenced research in the JID subcategories of immunology/infection and photobiology during this period. JID has thrived as the strength of its editorial leadership and the quality of dermatologic science have grown apace.
Anyone old enough to recall the weekly arrival of Current Contents and the painfully slow process of combing through each issue searching for relevant articles of interest, manually addressing postcards requesting reprints, or trudging to the library to copy a paper of interest will remember the name Eugene Garfield. He was responsible for Current Contents, a true pioneer in addressing the explosion of scientific information before we all had laptops and desktops. The introduction of PubMed in 1996 and Google Scholar in 2004 provided rapid online access to the literature. Dr. Garfield was also the founder of the Institute for Scientific Information (ISI). In 2004, the ISI was acquired by the science division of the Thomson Reuters Company. In this review we attempt to provide a glimpse of the newly developing bibliometric tools that have become available for assessing journal quality and to compare the position of JID among other leading dermatology journals using some of these tools. We then offer perspectives on JID’s growth as an influential source of knowledge in the field of cutaneous biology over the past 25 years.
ISI Thomson Reuters Web of Knowledge
The ISI Thomson Reuters Web of Knowledge provides quick, powerful access to the world’s leading citation databases. It covers more than 10,000 of the highest-impact journals worldwide. In addition to Current Contents, Garfield created numerous innovative bibliographic products. Together with Irwin Sher, he first proposed the concept of impact factor by re-sorting the author citation index into the Journal Citation Index and, with the support of the National Institutes of Health, was thereafter able to create the Science Citation Index (SCI) (Garfield, 2006). This led to the recognition that there was a core group of highly cited journals that would form the core of the SCI.
Using the Web of Knowledge, we identified the 50 most cited articles published in JID between 1986 and 2010, listed the number of times each was cited during that time, and subcategorized the articles using the subcategories utilized by JID since 2002. These data are shown in Table 1 (see also Supplementary Table S1 online).
Table 1.
The 50 most cited JID articles in the Institute for Scientific Information Thomson Reuters Web of Knowledge over the past 25 years and their subcategories
| Rank | Total times cited | Reference | Category |
|---|---|---|---|
| 1 | 676 | Ades EW, Candal FJ, Swerlick RA et al. (1992) HMEC-1: establishment of an immortalized human microvascular endothelial cell line. J Invest Dermatol 99:683–90 | Vascular biology |
| 2 | 431 | Frazier K, Williams S, Kothapalli D et al. (1996) Stimulation of fibroblast cell growth, matrix production, and granulation tissue formation by connective tissue growth factor. J Invest Dermatol 107:404–11 | Connective tissue |
| 3 | 391 | Rajadhyaksha M, Grossman M, Esterowitz D et al. (1995) In vivo confocal scanning laser microscopy of human skin: melanin provides strong contrast. J Invest Dermatol 104:946–52 | Clinical research |
| 4 | 381 | Tschachler E, Groh V, Popovic M et al. (1987) Epidermal Langerhans cells—a target for HTLV-III/LAV infection. J Invest Dermatol 88:233–7 | Immunology/infection |
| 5 | 378 | Imokawa G, Abe A, Jin K et al. (1991) Decreased level of ceramides in stratum corneum of atopic dermatitis: an etiologic factor in atopic dry skin? J Invest Dermatol 96:523–6 | Clinical research |
| 6 | 361 | Smith EL, Walworth NC, Holick MF (1986) Effect of 1 α,25-dihydroxyvitamin D3 on the morphologic and biochemical differentiation of cultured human epidermal keratinocytes grown in serum-free conditions. J Invest Dermatol 86:709–14 | Cell biology |
| 7 | 351 | Romani N, Lenz A, Glassel H et al. (1989) Cultured human Langerhans cells resemble lymphoid dendritic cells in phenotype and function. J Invest Dermatol 93:600–9 | Immunology/infection |
| 8 | 339 | Giudice GJ, Emery DJ, Diaz LA (1992) Cloning and primary structural analysis of the bullous pemphigoid autoantigen BP180. J Invest Dermatol 99:243–50 | Immunology/infection |
| 9 | 323 | van der Heijden FL, Wierenga EA, Bos JD et al. (1991) High frequency of IL-4-producing CD4+ allergen-specific T lymphocytes in atopic dermatitis lesional skin. J Invest Dermatol 97:389–94 | Immunology/infection |
| 10 | 304 | Yoshikawa T, Rae V, Bruins-Slot W et al. (1990) Susceptibility to effects of UVB radiation on induction of contact hypersensitivity as a risk factor for skin cancer in humans. J Invest Dermatol 95:530–6 | Photobiology |
| 11 | 303 | Wysocki AB, Staiano-Coico L, Grinnell F (1993) Wound fluid from chronic leg ulcers contains elevated levels of metalloproteinases MMP-2 and MMP-9. J Invest Dermatol 101:64–8 | Vascular biology |
| 12 | 299 | Mansbridge JN, Knapp AM (1987) Changes in keratinocyte maturation during wound healing. J Invest Dermatol 89:253–63 | Wound healing |
| 13 | 284 | Uyemura K, Yamamura M, Fivenson DF et al. (1993) The cytokine network in lesional and lesion-free psoriatic skin is characterized by a T-helper type 1 cell-mediated response. J Invest Dermatol 101:701–5 | Immunology/infection |
| 14 | 276 | Borradori L, Sonnenberg A (1999) Structure and function of hemidesmosomes: more than simple adhesion complexes. J Invest Dermatol 112:411–8 | Connective tissue |
| 15 | 274 | Detmar M, Brown LF, Schön MP et al. (1998) Increased microvascular density and enhanced leukocyte rolling and adhesion in the skin of VEGF transgenic mice. J Invest Dermatol 111:1–6 | Vascular biology |
| 16 | 273 | Rajadhyaksha M, González S, Zavislan JM et al. (1999) In vivo confocal scanning laser microscopy of human skin II: advances in instrumentation and comparison with histology. J Invest Dermatol 113:293–303 | Clinical research |
| 17 | 265 | Igarashi A, Nashiro K, Kikuchi K et al. (1996) Connective tissue growth factor gene expression in tissue sections from localized scleroderma, keloid, and other fibrotic skin disorders. J Invest Dermatol 106:729–33 | Connective tissue |
| 18 | 247 | Schlaak JF, Buslau M, Jochum W et al. (1994) T cells involved in psoriasis vulgaris belong to the Th1 subset. J Invest Dermatol 102:145–9 | Immunology/infection |
| 19 | 246 | Stern RS, Lange R (1988) Non-melanoma skin cancer occurring in patients treated with PUVA five to ten years after first treatment. J Invest Dermatol 91:120–4 | Photobiology |
| 20 | 246 | Müller-Röver S, Handjiski B, van der Veen C et al. (2001) A comprehensive guide for the accurate classification of murine hair follicles in distinct hair cycle stages. J Invest Dermatol 117:3–15 | Appendages |
| 21 | 245 | Wood GS, Tung RM, Haeffner AC et al. (1994) Detection of clonal T-cell receptor gamma gene rearrangements in early mycosis fungoides/Sezary syndrome by polymerase chain reaction and denaturing gradient gel electrophoresis (PCR/DGGE). J Invest Dermatol 103:34–41 | Clinical research |
| 22 | 240 | Parsa R, Yang A, McKeon F et al. (1999) Association of p63 with proliferative potential in normal and neoplastic human keratinocytes. J Invest Dermatol 113:1099–105 | Cell biology |
| 23 | 236 | Haake AR, Polakowska RR (1993) Cell death by apoptosis in epidermal biology. J Invest Dermatol 101:107–12 | Keratinocytes/epidermis |
| 24 | 230 | Cooper KD (1994) Atopic dermatitis: recent trends in pathogenesis and therapy. J Invest Dermatol 102:128–37 | Immunology/infection |
| 25 | 226 | Millar SE (2002) Molecular mechanisms regulating hair follicle development. J Invest Dermatol 118:216–25 | Appendages |
| 26 | 225 | Norris P, Poston RN, Thomas DS et al. (1991) The expression of endothelial leukocyte adhesion molecule-1 (ELAM-1), intercellular adhesion molecule-1 (ICAM-1), and vascular cell adhesion molecule-1 (VCAM-1) in experimental cutaneous inflammation: a comparison of ultraviolet B erythema and delayed hypersensitivity. J Invest Dermatol 96:763–70 | Photobiology |
| 27 | 225 | Grossman D, McNiff JM, Li F et al. (1999) Expression and targeting of the apoptosis inhibitor, survivin, in human melanoma. J Invest Dermatol 113:1076–81 | Melanocytes/melanoma |
| 28 | 224 | Taylor RS, Ramirez RD, Ogoshi M et al. (1996) Detection of telomerase activity in malignant and nonmalignant skin conditions. J Invest Dermatol 106:759–65 | Photobiology |
| 29 | 222 | Nanney LB, Stoscheck CM, Magid M et al. (1986) Altered [125I]epidermal growth factor binding and receptor distribution in psoriasis. J Invest Dermatol 86:260–5 | Clinical research |
| 30 | 222 | Stasiak PC, Purkis PE, Leigh IM et al. (1989) Keratin 19: predicted amino acid sequence and broad tissue distribution suggest it evolved from keratinocyte keratins. J Invest Dermatol 92:707–16 | Keratinocytes/epidermis |
| 31 | 219 | Hashimoto T, Ogawa MM, Konohana A et al. (1990) Detection of pemphigus vulgaris and pemphigus foliaceus antigens by immunoblot analysis using different antigen sources. J Invest Dermatol 94:327–31 | Immunology/infection |
| 32 | 218 | Austin LM, Ozawa M, Kikuchi T et al. (1999) The majority of epidermal T cells in psoriasis vulgaris lesions can produce type 1 cytokines, interferon-γ, interleukin-2, and tumor necrosis factor-α, defining TC1 (cytotoxic T lymphocyte) and TH1 effector populations: a type 1 differentiation bias is also measured in circulating blood T cells in psoriatic patients. J Invest Dermatol 113:752–9 | Immunology/infection |
| 33 | 213 | Darr D, Fridovich I (1994) Free radicals in cutaneous biology. J Invest Dermatol 102:671–5 | Photobiology |
| 34 | 210 | Dorschner RA, Pestonjamasp VK, Tamakuwala S et al. (2001) Cutaneous injury induces the release of cathelicidin anti-microbial peptides active against group A Streptococcus. J Invest Dermatol 117:91–7 | Immunology/infection |
| 35 | 206 | Mischke D, Korge BP, Marenholz I et al. (1996) Genes encoding structural proteins of epidermal cornification and S100 calcium-binding proteins form a gene complex (“epidermal differentiation complex”) on human chromosome 1q21. J Invest Dermatol 106:989–92 | Keratinocytes/epidermis |
| 36 | 204 | Teunissen MB, Koomen CW, de Waal Malefyt R et al. (1998) Interleukin-17 and interferon-γ synergize in the enhancement of proinflammatory cytokine production by human keratinocytes. J Invest Dermatol 111:645–9 | Immunology/infection |
| 37 | 200 | Madison KC, Swartzendruber DC, Wertz PW et al. (1987) Presence of intact intercellular lipid lamellae in the upper layers of the stratum corneum. J Invest Dermatol 88:714–8 | Keratinocytes/epidermis |
| 38 | 200 | McCall CA, Cohen JJ (1991) Programmed cell death in terminally differentiating keratinocytes: role of endogenous endonuclease. J Invest Dermatol 97:111–4 | Cell biology |
| 39 | 198 | Hou SY, Mitra AK, White SH et al. (1991) Membrane structures in normal and essential fatty acid-deficient stratum corneum: characterization by ruthenium tetroxide staining and x-ray diffraction. J Invest Dermatol 96:215–23 | Keratinocytes/epidermis |
| 40 | 196 | Paus R, Müller-Röver S, Van Der Veen C et al. (1999) A comprehensive guide for the recognition and classification of distinct stages of hair follicle morphogenesis. J Invest Dermatol 113:523–32 | Appendages |
| 41 | 195 | Schröder JM, Christophers E (1986) Identification of C5A des arg and an anionic neutrophil-activating peptide (ANAP) in psoriatic scales. J Invest Dermatol 87:53–8 | Immunology/infection |
| 42 | 195 | Bos JD, Zonneveld I, Das PK et al. (1987) The skin immune system (SIS): distribution and immunophenotype of lymphocyte subpopulations in normal human skin. J Invest Dermatol 88:569–73 | Immunology/infection |
| 43 | 194 | Igarashi A, Nashiro K, Kikuchi K et al. (1995) Significant correlation between connective tissue growth factor gene expression and skin sclerosis in tissue sections from patients with systemic sclerosis. J Invest Dermatol 105:280–4 | Connective tissue |
| 44 | 192 | Madsen P, Rasmussen HH, Leffers H et al. (1991) Molecular cloning, occurrence, and expression of a novel partially secreted protein “psoriasin” that is highly up-regulated in psoriatic skin. J Invest Dermatol 97:701–12 | Immunology/infection |
| 45 | 191 | Bertaux B, Hornebeck W, Eisen AZ et al. (1991) Growth stimulation of human keratinocytes by tissue inhibitor of metalloproteinases. J Invest Dermatol 97:679–85 | Keratinocytes/epidermis |
| 46 | 190 | Wollenberg A, Wagner M, Günther S et al. (2002) Plasmacytoid dendritic cells: a new cutaneous dendritic cell subset with distinct role in inflammatory skin diseases. J Invest Dermatol 119:1096–102 | Immunology/infection |
| 47 | 188 | Grøndahl-Hansen J, Lund LR et al. (1988) Urokinase- and tissue-type plasminogen activators in keratinocytes during wound reepithelialization in vivo. J Invest Dermatol 90:790–5 | Vascular biology |
| 48 | 187 | Teunissen MB, Wormmeester J, Krieg SR et al. (1990) Human epidermal Langerhans cells undergo profound morphologic and phenotypical changes during in vitro culture. J Invest Dermatol 94:166–73 | Immunology/infection |
| 49 | 187 | Shindo Y, Witt E, Packer L (1993) Antioxidant defense mechanisms in murine epidermis and dermis and their responses to ultraviolet light. J Invest Dermatol 100:260–5 | Photobiology |
| 50 | 187 | Schwarz A, Bhardwaj R, Aragane Y et al. (1995) Ultraviolet-B-induced apoptosis of keratinocytes: evidence for partial involvement of tumor necrosis factor-α in the formation of sunburn cells. J Invest Dermatol 104:922–7 | Photobiology |
Journal impact factor
The impact factor is defined as the ratio of the number of citations in the current year (numerator) to all articles and reviews published in the previous 2 years (denominator). Example of the calculation of the 2010 JID impact factor:
Total citations in 2010 to articles published in 2008 (1,705) and 2009 (1,844) = 3,549; number of articles published in 2008–2009 = 566
JID impact factor = 3,549/566 = 6.270
There has been gradual improvement in JID’s impact factor over the years, and between 2006 and 2010 it rose steadily from 4.535 to 6.270 (Figure 1). Its impact factor places the Journal first in a list of the top 20 dermatology journals ranked by the Web of Knowledge (Supplementary Table S2 online).
Figure 1.

Five-year trend of Institute for Scientific Information (ISI) Thomson impact factor for the Journal of Investigative Dermatology.
The use of the 2-year window to calculate the impact factor has been criticized as being too short in that it does not represent a typical value to account for changes that could occur over a longer time span. This has led to the use of the 5-year impact factor calculated identically to the original 2-year impact factor but over 5 years.
Five-year journal impact factor
The 5-year journal impact factor is defined as the ratio of the number of citations in the current year (numerator) to all articles and reviews published in the previous 5 years (denominator). Example of the calculation of the 2010 JID 5-year impact factor:
Total citations between 2005 and 2009 = 8,435; number of articles published between 2005 and 2009 = 1,465
JID 5-year impact factor = 8,435/1,465 = 5.758
The utility of the impact factor has been questioned as a tool for assessing the quality of scientific journals. For example, it has been pointed out that the SCI database includes only normal articles, notes, and reviews in the denominator as citable items but records citations to all types of documents (including editorials, letters, and meeting abstracts) in the numerator (Favaloro, 2008; Elsaie and Kammer, 2009). As a result, journals that include meeting reports, editorials, and extensive correspondence sections could inflate that journal’s impact factor relative to those that do not. Review articles may also help to increase the impact factor because of increased citations. Despite these limitations, it is generally agreed that in each specialty the best journals are those in which it is most difficult to have an article accepted, and these are the journals (most of which predated the concept of impact factor) that tend to have higher impact factors (Hoeffel, 1998).
Wolthoff et al. (2011) have attempted to address some of the limitations of impact factor rankings as they pertain to dermatology journals by proposing the use of the comprehensive citation factor (CCF) (Supplementary Table S3 online). The CCF is based on data obtained in 2007 and includes in the denominator all citable articles, specifically editorials and letters. Their intent is to discourage the high proportion of editorials and letters to the editor that can artificially inflate a journal’s impact factor. They address another potential shortcoming of impact factor, namely, the fact that the classification of journal articles by the Web of Knowledge is performed manually by multiple individuals, thereby raising questions about the accuracy and consistency of these designations. Rossner et al. (2008) have also expressed concerns regarding the arbitrary manner in which the Web of Knowledge computes impact factors and interprets their databases.
Another problem with the concept of impact factor is its use to evaluate the scholarly credentials of scientists rather than journals (Fersht, 2009). Fersht suggests that this is an inappropriate use of impact factor and that assessment of academic merit requires careful and meticulous analysis by expert scholars in the subject area—the use of a simple metric for this purpose should never be a substitute for the evaluation of research quality. Despite these reservations, impact factor remains an objective measure of quality for the best journals in a specialty.
Immediacy index
The immediacy index of a journal is calculated by dividing the number of citations to articles published in a given year by the number of articles published in that year. It is an indicator of the speed with which citations to a specific journal appear in the published literature. Example of the calculation of the 2010 JID immediacy index:
Citations to items published in 2010 = 412
Numbers of items published in 2010 = 250
JID immediacy index = 412/250 = 1.648
Because it is a per-article average, the immediacy index tends to discount the advantage of large journals over small ones. However, frequently issued journals may have an advantage because an article published early in the year has a better chance of being cited than one published later in the year. Many publications that publish infrequently or late in the year have low immediacy indexes. For comparing journals specializing in cutting-edge research, however, the immediacy index can provide a useful perspective.
Cited half-life
The cited half-life for a journal is the median age in years of its items cited in the current year. It is defined by the number of publication years from the current year that account for 50% of the citations received by the journal. Half of the total citations to the journal are to items published within the cited half-life.
JID cited half-life = 7.9 years
Citing half-life
The citing half-life for a journal is the median age of the items the journal cited in the current year. Half of the citations in the journal are to items published within the citing half-life.
JID citing half-life = 6.6 years
Further efforts have been made to find additional metrics for measuring the quality of scientific journals (Rousseau and Stimulate 8 Group, 2009). In the report, alternatives to the impact factor were compared to ascertain their value. These include the Eigenfactor score and the Article Influence score. It was shown that although these indicators are calculated using different methods and databases, they strongly correlate with the Web of Knowledge impact factor and with one another.
Eigenfactor score
The Eigenfactor score of a journal is an estimate of the percentage of the time that researchers actually spend with that particular journal. The Eigenfactor algorithm corresponds to a simple model of research in which readers follow chains of citations as they move from journal to journal. Imagine a researcher in a library selecting a journal article at random. After reading the article, the researcher randomly selects a citation from the article and proceeds to the cited journal, reads a random article there, and selects a citation in another journal volume. This process is then repeated over and over. The Eigenfactor score is the sum of normalized citations received from other journals weighted by the status of the citing journals. Citations are normalized with respect to the total amount of cited references of the citing journal. The citation target period is 5 years.
JID Eigenfactor score = 0.05137
Article Influence score
The Article Influence score is a measure of the average influence per article of each of its papers over the first 5 years after its publication. Article Influence scores are normalized so that the mean article in the entire ISI Thomson Journal Citation Reports (JCR) database has an article influence of 1.00. Thus, in 2010 JID had an Article Influence score of 1.800. This means that the average article in JID has 1.8 times the influence of the mean journal in the JCR.
The data in Supplementary Table S2 online show how the 20 highest cited dermatology journals in the Web of Knowledge compare in terms of these various metrics. Given that JID has a reputation for publishing research articles and reviews focused on basic research and increasingly on translational application of that research, it is perhaps not surprising that it is ranked highest in virtually all of these bibliometric categories.
Franceschet (2010) compared 2-year impact factor, 5-year impact factor, Eigenfactor score, and Article Influence score as measures of journal quality. Article Influence and the 2-year impact factor were close to the 5-year impact factor as tools in this regard. Article influence was shown to be the most stable indicator across different scientific disciplines.
Rizkallah and Sin (2010) also used a combined approach to assess journal quality by comparing impact factor, Eigenfactor, and Article Influence scores in a series of highly cited journals between 2001 and 2008. Their analysis of impact factor and Eigenfactor score yielded a similar rank order of medical journals, although some discrepancies were apparent. For example, journals that publish large numbers of papers have higher Eigenfactor scores than would be expected for their impact factor, whereas the reverse is true for journals that publish fewer papers.
h-Index
The h-index was first proposed by Jorge Hirsch, a physicist at the University of California, San Diego (Hirsch, 2005). It is defined as the highest number of published papers by a scientist receiving at least that number of citations. For example, someone with an h-index of 50 has written 50 papers, each of which has been cited at least 50 times. Hirsch believes that this is more objective than measures based on numbers of publications because a large number of mediocre publications would create a false impression of superior scholarship. Since its introduction, the h-index has become a widely accepted indicator of scientific performance and is included in major bibliographic databases, including the Web of Knowledge. It is said to have several advantages, including simplicity and the fact that citation impact and publication numbers are combined in a single number (Bornmann et al., 2011). Loscalzo (2011), however, questions the utility of the h-index and emphasizes that it suffers from the same limitation associated with citation indexes and is not a surrogate for scientific quality. He adds that it seems unlikely that any substitute for the impact factor will be found in the near future because it has become such an embedded measure both academically and commercially.
We initially attempted to provide h-index data for the authors of the top 50 cited papers in JID between 1986 and 2010 (Table 1). However, this analysis was complicated by a number of confounders, including duplicate names and initials, which in our opinion made confirmation of these scores uncertain, and we have therefore not included them here. The assignment and use of methods to more precisely identify authors should help to enhance the accuracy of author h-indexes in the future.
Elsevier’s Scopus, also known as SciVerse Scopus, is another citation database containing both peer-reviewed research literature and Web sources. This is an open-access portal that also attempts to address the quantity and the quality of scientific publications. It provides comprehensive coverage of the scientific, technical, medical, and social sciences fields as well as, recently, the arts and humanities. SCImago is their portal that includes the journals and country scientific indicators developed from information in the Scopus database (Elsevier B.V.). These indicators can also be used to assess and analyze scientific domains. This platform takes its name from the SCImago Journal Rank (SJR) indicator, which in turn is derived from Google’s PageRank system. This indicator ranks journals in the Scopus database. The Scopus ranking for the top 25 dermatology journals is shown in Supplementary Table S4 online. In addition to SJR rank, Scopus has identified the number of citations per article over the prior 2 years as a meaningful indicator of journal quality. Using this indicator, JID, with a total of 6.24 citations per article, is the top-ranking dermatology journal. The Scopus and the Web of Knowledge rankings are quite similar (Supplementary Table S2). The Scopus ranking of selected dermatology journals relative to more than 18,750 other covered scientific journals is shown in Supplementary Table S5. JID ranks 309th of the more than 18,750 journals currently in the Scopus database.
The vast majority of rankings of journals and rankings of scientists have been developed independently. Buoyssoua and Marchant (2010) argue that a consistent approach to both rankings would be preferable because there is striking interdependence between the quality of a journal and the quality of the work done by the scientists who publish in that journal. They used the impact factor to assess journal quality and combined this with two rankings for scientists using either the total number of citations or the total number of citations weighted by the inverse of the number of coauthors. They concluded that these metrics provide a consistent assessment of journal and scientist quality.
The growing influence of online access to journals on citation frequency
Evans (2008) addressed the issue of the rapid development of online access to journal articles and to citation frequency. He found that articles published more recently listed fewer and more recent citations, and he expressed concern that this trend may result in less comprehensive scholarly review. He emphasized that a major weakness of print library research is poor indexing of titles and authors in core journals, which resulted in the integration of science and scholarship. This has been disputed, and some believe that online access is actually having the opposite effect and encouraging more citations.
PageRank
PageRank is a link analysis algorithm named after one of the founders of Google, Larry Page. This proprietary system assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, with the purpose of “measuring” its relative importance within the set. The goal as stated by Google is to permit more rapid searching of more sites more quickly, thereby providing more relevant results by applying a hierarchy of importance to results, allowing users to spend less time with irrelevant retrievals. Based on PageRank but distinct from it, Dellavalle et al. (2007) have developed a weighted algorithm for dermatology journals (Figure 2). This algorithm assigns greater weight to citations originating in more frequently cited journals. A high impact factor generally corresponds with a high PageRank weight (PRw). In some ways this resembles the Eigenfactor method described above in that it is a measure of the time spent reading a citation.
Figure 2. Weighted algorithm for dermatology journals.
ISI, Institute for Scientific Information; JCR, Journal Citation Reports; PRw; PageRank weight.
The explosion in online access to journals has led to a decline in print subscriptions, along with a rise in electronic subscriptions. Lo and Fisher (2011) made this point in the journal Stroke. Their analysis showed that in 2010 Stroke had an 11.9% decline in combined individual and institutional print subscriptions compared with 2009, whereas electronic subscriptions increased. Electronic access to Stroke articles increased by 21.4% in 2010, and the number of articles read/downloaded on mobile devices such as cell phones and portable electronic devices increased dramatically as well. These trends strongly suggest that online access will be the dominant gateway to scientific articles in the future. At present, JID is different in that no electronic-only subscriptions are offered and, aside from institutions (libraries) and industry, almost all JID print subscriptions originate from society memberships (either the SID or the European Society for Dermatological Research).
Google Scholar
Google Scholar is a freely accessible, Web-based search engine that indexes the full text of scholarly literature across an array of publishing formats and disciplines. It includes most peer-reviewed online journals of European and American publishers. It is similar in function to other freely available citation tools, including Scirus from Elsevier, CiteSeerX, and getCITED (Beel and Gipp, 2009). Google Scholar’s statistical model is based on author names, bibliographic data, and article content to group articles probably written by the same author. Three metrics are available: the h-index; the i-10 index, which is the number of articles with at least 10 citations; and the total number of citations to articles. It is possible to enable automatic addition of newly published articles to one’s profile. This would instruct the Google Scholar indexing system to update the author’s profile as it discovers new articles. Authors can manually update profiles by adding missing articles, fixing bibliographic errors, and merging duplicate entries. Some have criticized the quality control of Google Scholar, and it is generally seen to be a browsing tool as opposed to more rigorous bibliometric tools such as the Web of Knowledge and Scopus. On the other hand, Google Scholar covers journals not included in the JCR, such as the Malaysian Journal of Medicine, whose contents achieved international recognition based on the citations and impact score it received in Google Scholar (Sanni and Zainab, 2010).
In July 2011, Google began the launch of Google Scholar Citations, designed to provide a simple way for authors to compute citation metrics and track them over time. This feature is described at http://scholar.google.com/intl/en/scholar/citations.html. The service is currently limited to a small number of users, but interested individuals are directed to a page where they can register to be notified when the availability of Google Scholar Citations is expanded.
Six citation classics: then (1989) and now (2011)
In 1989 a special JID supplement was published to celebrate the 50th anniversary of the founding of the SID. David Norris, the JID editor at that time, chose for focused discussion six highly cited papers (he designated them “citation classics”) that had been published in the Journal. The most highly cited paper was one by the late Albert Kligman (1966) in which he described an in vivo testing procedure that proved to be very useful in defining the risk of contact sensitization to chemicals in human populations. As pointed out by Norris, this highly predictive and reliable assay continues to be essential for the pharmaceutical and cosmetic industries.
The continuing importance of the original Harvard-based cooperative clinical trial for psoralen UVA (PUVA) photochemotherapy is aptly demonstrated by the second citation classic of 1989 (Stern and Lange, 1988), which is also one of the most highly cited papers between 1986 and 2010 (number 19; Table 1). This is also a clear example of the important work in clinical research that has been published in JID throughout its history (see “Photobiology” below).
The third citation classic of 1989 was a paper by Stanley Cohen describing the identification of an extract from murine submaxillary glands that could stimulate epidermal keratinization; the extract later became known as epidermal growth factor (Cohen and Elliott, 1963). Cohen and Rita-Levi Montalcini shared the Nobel Prize in 1986 for this seminal work, which paved the way to our current understanding of the importance of growth factors in cutaneous biology.
Norris (1989) cited the article by Birbeck et al. (1961) that described the characteristic cytoplasmic granules in epidermal Langerhans cells (LCs) now known as Birbeck granules. This paper, along with numerous others, presaged the growing recognition of the importance of these cells in cutaneous immunobiology.
The fifth citation classic identified in 1989 was that by Karasek (1966), in which the collagen gel method for culturing human keratinocytes was described. This was one of many publications that contributed enormously to the development of epidermal cell biology.
Finally, the sixth citation classic of 1989 focused on numerous review articles and their importance for JID. In particular, the paper by Beutner et al. (1968) was selected because of its in-depth discussion of the development of immunofluorescence techniques that revolutionized the clinical management of patients with autoimmune blistering diseases. As stated by Norris, “This is clearly one of the best examples of basic research changing clinical practice.” Indeed, this paper is a classic forerunner of current recognition of the importance of translational research.
Borrowing David Norris’s idea, we have selected six of the most highly cited papers published in JID over the past 25 years for brief discussion (see Table 1 for full citations for the 50 most cited articles). By far the most highly cited paper is that by Ades et al. (1992; 676 citations), which described the creation of an immortalized human microvascular endothelial cell line. In fact, this paper has 50% more citations than does the next most cited paper. This is due in part to the extraordinary utility of this cell line for studies addressing the pathogenesis of cutaneous inflammation. Studies conducted with these cells have advanced our understanding of the mechanisms of synthesis and secretion of proinflammatory cytokines, as well as surface adhesion molecules that facilitate binding of circulating leukocytes to bind to endothelial cells and also enhance binding of endothelial cells to matrix proteins.
Frazier et al. (1996; number 2, with 431 citations) described the identification of connective-tissue growth factor (CTGF) and showed it to be an important downstream mediator of transforming growth factor-β (TGF-β) effects on connective tissue cells by enhancing fibro-blast proliferation and the synthesis of connective tissue matrix. The identification of CTGF, now also known as CCN2, has enhanced research into wound healing and fibrotic disorders, although as yet there are no effective treatments for tissue fibrosis. Because it seems clear that CCN2/CTGF plays an important role in the production and maintenance of tissue fibrosis, the development of therapeutic agents that inhibit this factor may prove effective in fibrosing skin disorders such as scleroderma.
Two papers by Rajadhyaksha et al. describing the development and refinement of in vivo confocal scanning laser microscopy of human skin are among the 50 most cited JID articles in this time period (1995; number 3, with 391 citations; and 1999; number 16, with 273 citations). These papers described the application of developing noninvasive imaging techniques to the diagnosis of skin disorders. These imaging tools may permit the assessment of skin cancer morphology in real time and ultimately compete with histopathological methods, particularly for pigmented lesions. More recent studies designed to evaluate the diagnostic accuracy of this modality for pigmented lesions suggest that it may be superior to dermoscopy. In the future, confocal laser microscopy could provide an additional tool for the more accurate noninvasive diagnosis of melanocytic and other skin lesions.
Tschachler et al. (1987; number 4, with 381 citations) showed that LCs are infected by HTLV-III/LAV and that infection of LCs with this retrovirus may have deleterious consequences for the immunologic functions of this cell system, which may thus contribute to both the acquisition of immunodeficiency and the infectious and neoplastic complications of AIDS (see below).
Imokawa et al. (1991; number 5, with 378 citations) showed that the stratum corneum of patients with atopic dermatitis manifests a deficiency in ceramides and drew attention to the fact that compromised skin barrier function may contribute to the pathogenesis of skin diseases. The skin barrier is important for minimizing transepidermal water loss, as well as for minimizing physical and chemical insults from the environment. This consists of protein-enriched corneocytes and lipid-enriched inter-cellular domains. During epidermal differentiation, lipids are synthesized in keratinocytes and then help to form the cornified envelope. Ceramides are then covalently bound to the cornified envelope that cross-links with filaggrin. Indeed, several studies have revealed that approximately 25–50% of patients with atopic dermatitis manifest filaggrin mutations as a predisposing factor.
Smith et al. (1986; number 6, with 361 citations) showed that 1α,25-dihydroxy D3 is a potent inhibitor of cultured human epidermal keratinocyte proliferation and enhances terminal differentiation of these cells.
These studies helped pave the way for the development of topical derivatives of vitamin D for the treatment of psoriasis. These agents act to inhibit keratinocyte proliferation and promote normalization of epidermal differentiation, thereby addressing two of the cardinal manifestations of the skin disease psoriasis.
In the sections below, an effort is made to provide a perspective regarding the manner in which highly cited articles in the journal have influenced the fields of immunology/infection and photobiology.
Immunology/infection
Approximately one-third of the top 50 articles published in JID between 1986 and 2010 are in the “immunology/infection” subcategory. In the past 25 years, a major advance in immunology has been the realization that there are two distinct components to the immune system: the innate and the adaptive immune response. The innate immune response is genetically preprogrammed and facilitates the rapid detection of biochemical types of ligands that characterize classes of microbial pathogens as well as the host. In this manner, the innate immune response provides the first line of defense against danger. The adaptive immune response involves T and B cells, with rearranged receptors; it involves memory and is therefore the target of vaccines.
The epidermis is not only a physical barrier to the outside environment but also active immunologically, with keratinocytes secreting proteins that are immunomodulatory and/or antimicrobial. Schröder and Christophers (1986; number 41, with 195 citations) identified two peptides in psoriatic scales—C5a des-Arg and anionic neutrophil-activating peptide (also known as IL-8)—which stimulated neutrophil functional activities including chemotaxis and generation of superoxide free radicals. Dorschner et al. (2001; number 34, with 210 citations) from the Gallo laboratory showed that the antimicrobial peptide cathelicidin is upregulated and released by keratinocytes in response to injury. Furthermore, they found that cathelicidin was processed into an active C-terminal form with antimicrobial activity against group A Streptococcus. Madsen et al. (1991; number 44 with 192 citations) cloned psoriasin, an S100 family member known as S100A7. Psoriasin is upregulated in psoriatic epidermis and has antimicrobial and inflammatory properties. Together, these studies have helped establish the concept that keratinocytes are part of the innate immune system, contributing to host defense. These studies were complemented by the report by Norris et al. (1991; number 26, with 225 citations), which analyzed the expression of adhesion molecules on human dermal vasculature induced by intradermal injection of an immunogenic stimulus (purified protein derivative) and provided insights into pathways by which inflammatory cells enter skin.
In the past quarter century, dendritic cells (DCs) have been recognized as a key cell component of the innate immune system, with the capacity to instruct and modulate the adaptive T-cell response. Three highly cited papers deal with Langerhans cells (LCs), which are DCs that are resident in the epidermis. As previously stated, Tschachler et al. (1987; number 4, with 381 citations) demonstrated that LCs are a target for HTLV-III infection. LCs were the only target for HTLV-III infection in the epidermis, and infection resulted in a disruption of cell morphology. Romani et al. (1989; number 7, with 351 citations) found that human LCs could be differentiated in vitro, resembling lymphoid DCs and characterized by more potent T-cell stimulatory activity. They concluded that human LCs represent immature precursors of lymphoid DCs in skin-draining lymph nodes. The changes involved in the differentiation of LCs were further detailed in elegant studies by Teunissen et al. (1990; number 48 with 187 citations). Another DC subtype, the plasmacytoid DC, has a major role in the induction of type I interferons. Wollenberg et al. (2002; number 46, with 190 citations) surveyed the distribution of plasmacytoid DCs in skin. They found increased numbers of plasmacytoid DCs in the dermis of psoriasis and lupus erythematosus lesions, as compared with atopic dermatitis and normal skin. These studies, taken together, provide insight into the role of DC populations in skin, in both health and disease.
Two important advances in T-cell biology—first the definition of CD4 and CD8 T-cell subsets using monoclonal antibodies and then the identification of functional T-cell subsets based on the pattern of secreted cytokines—have led to advances in immunodermatology. Bos et al. (1987; number 42, with 195 citations) identified the CD4+ and CD8+ resident T-cell subpopulations in normal skin. van der Heijden et al. (1991; number 9, with 323 citations) first showed the high frequency of IL-4-producing T cells in lesional skin of patients with atopic dermatitis. Uyemura et al. (1993; number 13, with 284 citations) described the presence of a Th1-like cytokine pattern in skin lesions of patients with psoriasis, typified by the presence of IL-2, IFN-γ, and tumor necrosis factor-α (TNF-α). These findings were extended by Schlaak et al. (1994; number 18, with 247 citations) and Austin et al. (1999; number 32, with 218 citations). Teunissen et al. (1998; number 36, with 204 citations) identified a synergistic role for IL-17 and IFN-γ in enhancing proinflammatory cytokine production by human keratinocytes. Cooper (1994; number 24, with 230 citations) reviewed the pathogenesis of atopic dermatitis and provided clear examples of how advances in understanding the immunology of skin diseases have led to the development of novel immunotherapeutic strategies.
Identification of the antigens recognized by the adaptive T-cell and B-cell response is pivotal to the understanding of the pathogenesis of many skin diseases, but in particular has proven to be key to understanding the immunobiology of the autoimmune vesiculobullous diseases. Hashimoto et al. (1990; number 31, with 219 citations) reported the relationship between the antigens involved in pemphigus vulgaris and pemphigus foliaceus using sera from patients and immunoblot analysis. Giudice et al. (1992; number 8, with 339 citations) reported the cloning of the bullous pemphigoid antigen BP180. These studies provided insight into the important structural role of these antigens in skin biology and how, serving as targets of autoantibody responses, they contribute to the pathogenesis of autoimmune blistering diseases.
Photobiology
Approximately 12% of articles published in JID over the past 25 years are found in the subcategory of photobiology. Harnessing the photosensitizing properties of the naturally occurring psoralens was a major accomplishment and led to the development of PUVA photochemotherapy for the treatment of psoriasis and other dermatologic diseases in the 1970s. This breakthrough revolutionized the outpatient management of patients with psoriasis and cutaneous T-cell lymphoma. On the other hand, because of the knowledge that PUVA causes DNA damage, from the outset there has been concern regarding the potential skin carcinogenicity of this modality. Indeed, the careful design of the original cooperative clinical trials of PUVA therapy has provided a unique resource permitting close follow-up of these 1,380 patients and monitoring them for treatment-related toxic effects. The publication by Stern and Lange (1988; number 19, with 246 citations) showed that patients treated more than 260 times had an 11-fold increased risk of developing squamous cell carcinoma compared with patents receiving 160 or fewer treatments. There was also a smaller but significantly increased risk of developing basal cell carcinoma.
Recognition of the immunosuppressive effects of solar UVB radiation has provided important insights into the pathogenesis of nonmelanoma skin cancer. The induction of allergic contact dermatitis to potent skin allergens such as dinitrochlorobenzene (DNCB) is diminished/abrogated by prior exposure of the application site to low doses of UVB, and antigen-specific tolerance also ensues. Intradermal injection of subinflammatory doses of cytokines such as TNF-α evokes the same response. UVB induces cis-urocanic acid that also augments the release of TNF-α and attenuates upregulation of the proinflammatory cytokines IL-6 and IL-8. UVB immunosuppression was initially attributed to the induction of hapten-specific suppressor T cells, now known as regulatory T cells. Regulatory T cells reside in draining lymph nodes of UVB-irradiated skin, where they induce expression of the immunosuppressive cytokine IL-10.
The paper by Yoshikawa et al. (1990; number 10, with 304 citations) was among the first to show that human subjects exhibit heterogeneous susceptibility to the induction of contact hypersensitivity to DNCB applied to UVB-irradiated skin. Approximately 60% of normal human volunteers could be sensitized by application of the allergen to skin sites previously exposed to low-dose UVB, whereas approximately 40% failed to do so. Similar studies conducted in patients with skin cancer showed that more than 90% of these individuals could not be sensitized. It was then shown that a second application of DNCB to non-UVB-irradiated skin of the normal volunteers resulted in the induction of contact hypersensitivity in 100% of these individuals but in only half of the skin cancer patients, suggesting that they had been rendered immunologically tolerant to DNCB. Hapten specificity was further verified by showing that tolerant individuals responded to the unrelated hapten diphencyprone. It was concluded that exposure of human skin to acute, low-dose UVB induces specific immune tolerance and that immunogenetic factors responsible for these effects may influence the risk of sun-induced skin cancer. Subsequent studies by others showed that the immunosuppressive effects of UVB relate to the administered dose, the induction of CD1a−DR+ epidermal macrophages, and the depletion of LCs. The importance of UVB-induced DNA damage in mediating immunosuppression has been confirmed by studies showing that topical application of the DNA repair enzyme photolyase abrogates the damage.
Epidermal cells possess a variety of defense mechanisms to ameliorate and repair UV-induced DNA damage. One such defense mechanism is the induction of apoptotic keratinocytes, also known as sunburn cells. Elimination of these cells may diminish the risk of skin cancer. Another defense mechanism is the tumor suppressor p53. UVB-induced p53 mutations can abrogate its repair function and induce upregulation of antiapoptotic pathways as well as the downregulation of proapoptotic pathways, thereby increasing the risk of skin cancer. Schwarz et al. (1995; number 50, with 187 citations) showed that UVB irradiation augments apoptosis of human keratinocytes and that this is associated with augmented release of TNF-α. Inhibition of the function of TNF-α using a polyclonal antibody directed against human TNF-α rescued cells from apoptosis—but only partially. Similar studies in mice showed the same result. Thus, TNF-α is important for the apoptotic sunburn-cell response, but other factors must be involved. Subsequent studies have shown the importance of the TNF-α-related apoptosis-inducing ligand (TRAIL) in tumor surveillance because animals deficient in this ligand have heightened susceptibility to skin carcinogenesis.
When human skin is exposed to erythema doses of UVB, there is upregulation of immunosuppressive IL-10. The source of this cytokine is believed to be CD11b+ HLA-DR+ macrophages, and IL-10 inhibits cell-mediated immune responses. Also, CD11b+ HLA-DR+ neutrophils infiltrate UVB-irradiated skin, elaborate IL-10, and contribute to the immunosuppressive microenvironment created by UVB skin exposure.
Norris et al. (1991; number 26, with 225 citations) studied mediators of cutaneous inflammation induced by two minimal erythema doses of UVB administered to human volunteers, and immunohistochemical studies were then performed on sequential skin biopsies obtained 1, 6, 24, 72, and 168 hours thereafter. UVB-irradiated skin showed upregulation of endothelial leukocyte adhesion molecule-1 on vascular endothelium and infiltration of polymorphonuclear leukocytes within 6 hours that peaked at 24 hours. These studies showed that UVB enhances leukocyte adhesion to endothelial cells, which could explain the infiltration of neutrophils seen in UVB-irradiated human skin.
Reactive oxygen species (ROS) are thought to be involved in carcinogenesis, aging, and various inflammatory disorders of the skin. Because reliable direct measurement of ROS in skin remains challenging, the effect of pro-oxidant stress on antioxidant systems is used as a surrogate for such measurements. Shindo et al. (1993; number 49, with 187 citations) showed that murine skin possesses both nonenzymatic and enzymatic antioxidants. Nonenzymatic agents include lipophilic α-tocopherol, ubiquinol-9 and ubiquinone 9, hydrophilic ascorbic acid, dehydroascorbic acid, and glutathione. Enzymatic antioxidants include superoxide dismutase, catalase, glutathione peroxidase, and glutathione reductase. In general, with the exception of superoxide dismutase, all of these were shown to have higher expression in the epidermis than in the dermis of these animals. The mice were then exposed to erythema doses of solar-simulating radiation, and virtually all of these antioxidants were decreased, with the epidermis much more affected than the dermis. In recent years, methodologies such as magnetic resonance imaging, electron paramagnetic resonance, laser Doppler flowmetry, and time domain reflectometry have been developed that will permit more accurate direct measurement of ROS in skin.
The importance of ROS in cutaneous biology was reviewed by Darr and Fridovich (1994; number 33, with 213 citations). Oxygen in its ground state contains two unpaired electrons, and this favors its reduction along a univalent pathway. Reactive intermediates along this pathway include superoxide radicals, hydrogen peroxide, and the hydroxyl radical. The skin is uniquely susceptible to oxidant injury because of its double-barreled exposure to both environmental oxygen and oxygen perfused into the skin from the bloodstream. In addition, photons in solar radiation can be absorbed by skin constituents and generate excited-state molecules that can transfer their absorbed energy to oxygen, thereby generating reactive singlets and triplets that can cause injury. Each of the reactive species can be attenuated by multiple enzymatic antioxidants. Superoxide is minimized by superoxide dismutases and hydrogen peroxide by catalase and glutathione peroxidases. Nonenzymatic α-tocopherol can protect lipid-rich membranes against chain-propagating oxidant injury, and carotenoids can neutralize singlet oxygen. A continuing challenge to the present day is the availability of effective antioxidants that can consistently and safely attenuate the tissue-damaging effects of ROS.
Concluding remarks
JID has been a powerful contributor to the growth of the scientific base of cutaneous biology and dermatology over the past 25 years. Developing bibliometric systems document clearly the Journal’s increasing impact on the field and its recognition as an excellent resource by high-quality publications across many other disciplines in the biomedical sciences. Although several factors can be invoked to explain these impressive accomplishments, the role of the outstanding editors of the Journal is perhaps the most important of all (Supplementary Table S6 online). JID has benefited from the remarkable contributions of these leaders and is positioned well to build on these successes over the next 25 years.
Supplementary Material
Footnotes
CONFLICT OF INTEREST
The authors state no conflict of interest.
Supplementary material is linked to the online version of the paper at http://www.nature.com/jid
References
- Beel J, Gipp B. Google Scholar’s ranking algorithm: an introductory overview. Proc 12th Int Conf Scientometrics Infometrics. 2009;1:230–41. [Google Scholar]
- Beutner EH, Jordon RE, Chorzelski TP. The immunopathology of pemphigus and bullous pemphigoid. J Invest Dermatol. 1968;51:63–80. [PubMed] [Google Scholar]
- Birbeck MS, Breathnach AS, Everall JD. An electron microscope study of basal melanocytes and high-level clear cells (Langerhans cells) in vitiligo. J Invest Dermatol. 1961;37:51–64. [Google Scholar]
- Bornmann L, Mutz R, Hug SE, et al. A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants. J Informetr. 2011;5:346–59. [Google Scholar]
- Buoyssoua D, Marchant T. Consistent bibliometric rankings of authors and of journals. J Informetr. 2010;4:365–78. [Google Scholar]
- Cohen S, Elliott GA. The stimulation of epidermal keratinization by a protein isolated from the submaxillary gland of the mouse. J Invest Dermatol. 1963;40:1–5. doi: 10.1038/jid.1963.1. [DOI] [PubMed] [Google Scholar]
- Dellavalle RP, Schilling LM, Rodriguez MA, et al. Refining dermatology journal impact factors using PageRank. J Am Acad Dermatol. 2007;57:116–9. doi: 10.1016/j.jaad.2007.03.005. [DOI] [PubMed] [Google Scholar]
- Elsaie ML, Kammer J. Impactitis: the impact factor myth syndrome. Indian J Dermatol. 2009;54:83–5. doi: 10.4103/0019-5154.48998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Evans JA. Electronic publication and the narrowing of science and scholarship. Science. 2008;321:395–8. doi: 10.1126/science.1150473. [DOI] [PubMed] [Google Scholar]
- Favaloro EJ. Measuring the quality of journals and journal articles: the impact factor tells but a portion of the story. Semin Thromb Hemost. 2008;34:7–25. doi: 10.1055/s-2008-1066030. [DOI] [PubMed] [Google Scholar]
- Fersht A. The most influential journals: impact factor and Eigenfactor. Proc Natl Acad Sci USA. 2009;106:6883–4. doi: 10.1073/pnas.0903307106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Franceschet M. Journal influence factors. J Informetr. 2010;4:239–48. [Google Scholar]
- Garfield E. The history and meaning of the journal impact factor. JAMA. 2006;295:90–3. doi: 10.1001/jama.295.1.90. [DOI] [PubMed] [Google Scholar]
- Hirsch JE. An index to quantify an individual’s scientific research output. Proc Natl Acad Sci USA. 2005;102:16569–72. doi: 10.1073/pnas.0507655102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hoeffel C. Journal impact factors. Allergy. 1998;53:1225. doi: 10.1111/j.1398-9995.1998.tb03848.x. [DOI] [PubMed] [Google Scholar]
- Karasek MA. In vitro culture of human skin epithelial cells. J Invest Dermatol. 1966;47:533–40. [PubMed] [Google Scholar]
- Kligman AM. The identification of contact allergens by human assay. III. The maximization test: a procedure for screening and rating contact sensitizers. J Invest Dermatol. 1966;47:393–406. doi: 10.1038/jid.1966.160. [DOI] [PubMed] [Google Scholar]
- Lo EH, Fisher M. Stroke; impact beyond the impact factor? Stroke. 2011;42:1803–4. [Google Scholar]
- Loscalzo J. Can scientific quality be quantified? Circulation. 2011;123:947–50. doi: 10.1161/CIRCULATIONAHA.111.020529. [DOI] [PubMed] [Google Scholar]
- Norris DA. Six citation classics from The Journal of Investigative Dermatology. J Invest Dermatol. 1989;92:149s–50s. doi: 10.1111/1523-1747.ep13075244. [DOI] [PubMed] [Google Scholar]
- Rizkallah J, Sin DD. Integrative approach to quality assessment of medical journals using impact factor, Eigenfactor, and Article Influence scores. PLoS ONE. 2010;5:1–10. doi: 10.1371/journal.pone.0010204. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rossner M, Van Epps H, Hill E. Irreproducible results: a response to Thomson Scientific. J Cell Biol. 2008;180:254–5. doi: 10.1083/jcb.200801036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rousseau R Stimulate 8 Group. On the relation between the WoS impact factor, the Eigenfactor, the SCImago Journal Rank, the Article Influence Score and the journal h-index. 2009 http://hdl.handle.net/10760/13304.
- Sanni SA, Zainab AN. Google Scholar as a source for citation and impact analysis for a non-ISI indexed medical journal. Malays J Libr Info Sci. 2010;15:35–51. [Google Scholar]
- Stern RS, Lange R members of the Photochemotherapy Follow-Up Study. Non-melanoma skin cancer occurring in patients treated with PUVA five to ten years after first treatment. J Invest Dermatol. 1988;91:120–4. doi: 10.1111/1523-1747.ep12464137. [DOI] [PubMed] [Google Scholar]
- Wolthoff A, Lee Y, Ghohestani RF. Comprehensive citation factor: a novel method in ranking medical journals. Eur J Dermatol. 2011;21:495–500. doi: 10.1684/ejd.2011.1384. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.

