Abstract
Objective
Long noncoding RNAs (lncRNA) play important roles in the pathological processes of angiogenesis-related diseases such as cancer and diabetic retinopathy. This study aims to identify global research trends and hotspots in the field of lncRNAs in angiogenesis-related diseases and to explore future research directions.
Methods
Relevant literature published between 2012 and 2022 was retrieved from the Web of Science Core Collection (WoSCC). A total of 1 516 articles on lncRNAs and angiogenesis-related diseases were included for bibliometric analysis. CiteSpace and VOSviewer were used to analyze publication countries, institutions, journals, authors, co-cited references, and key words.
Results
The number of publications in this field has shown a steadily increasing trend from 2012 to 2022, peaking in 2021. China has the highest number of publications, while the United States ranked highest in centrality. Nanjing Medical University was the most prolific institution. Liu Y was the most productive author, while Wang Y ranked first in co-citation frequency. Cell was the most frequently cited journal. The latest terms of burst key words were vascular remodeling, dysfunction, heart, target, suppress, and pulmonary arterial hypertension.
Conclusion
From 2012 to 2022, research on lncRNAs in angiogenesis-related diseases has grown significantly. China leads in publication volume, while the United States holds the most academic influence. Emerging research hotspots such as vascular remodeling and dysfunction point to key directions for future research.
Keywords: long noncoding RNA, angiogenesis-related diseases, bibliometrics, CiteSpace, VOSviewer
Abstract
目的
长链非编码RNA(long noncoding RNA，lncRNA)在血管生成相关疾病如癌症和糖尿病视网膜病变等的病理过程中发挥重要作用。本研究旨在阐明lncRNA在血管生成相关疾病中的全球研究趋势和热点，并揭示该领域的研究前景。
方法
检索Web of Science Core Collection (WoSCC)数据库2012年至2022年的相关领域已发表文献。本研究共纳入1 516篇与lncRNA和血管生成相关疾病相关的文献进行文献计量学分析。使用CiteSpace和VOSviewer对相关发文国家、机构、发表期刊、作者、共被引文献和关键词等要素进行分析。
结果
LncRNA在血管生成相关疾病领域文献的年发文数量呈增加趋势。这一领域的研究在2012到2022年之间总体呈上升趋势，并且在2021年达到峰值。中国是发表论文数量最多的国家。美国是中心性值最高的国家。南京医科大学是该领域发表最多的机构。其中，Liu Y是发文量最多的作者，Wang Y在共被引作者频次中排名第一。Cell是被引用频次最高的期刊。最新突现关键词为血管重塑、功能障碍、心脏、靶点、抑制和肺动脉高压。
结论
2012至2022年间lncRNA在血管生成相关疾病中的研究呈显著增长趋势，中国为发文量最多国家，美国具备最高学术影响力，新兴热点如血管重塑和功能障碍等为该领域未来研究提供了关键方向。
Keywords: 长链非编码RNA, 血管生成相关疾病, 文献计量学, CiteSpace, VOSviewer
Blood vessels are involved in numerous biological processes, such as embryonic development and wound healing[1-2]. The formation of new blood vessels is a sophisticated process that incorporates the processes of vasculogenesis and angiogenesis[3]. Vasculogenesis represents the early stage of new vessel formation from endothelial progenitor cells while angiogenesis describes the proliferation and migration of endothelial cells (ECs) from existing mature blood vessels in tissues[4]. Angiogenesis is a complex physiological process. Abnormal or pathological angiogenesis underlies various human disorders, including cancer, cardiovascular disease, arthritis and diabetic retinopathy[5-7]. For example, during tumor development, rapid proliferation of tumor cells induces hypoxic and ischemic conditions[8]. Subsequently, the overexpression of angiogenic factors like hypoxia-inducible factor-1 alpha (HIF-1α) or vascular endothelial growth factor (VEGF) will promote EC proliferation to form new tumor blood vessels[9] and accelerate tumor growth and metastasis[10-11]. Atherosclerosis is a kind of chronic cardiovascular disease characterized by multiple pathological processes such as endothelial dysfunction, inflammatory response, and lipid accumulation[12]. An earlier study[13] has revealed a close relationship between atherosclerosis and aberrant angiogenesis. Ischemia and inflammation in atherosclerosis are reported to cause pathological angiogenesis[13]. Inhibition of aberrant angiogenesis has been shown to delay the disease progression of atherosclerosis[14]. Moreover, diabetic microvascular complications, such as diabetic retinopathy (DR), occur in vascular dysfunction[15]. During disease progression, VEGF is overexpressed in hyperglycemic and hypoxic environments, and the inflammatory response upregulates related cytokines such as tumor necrosis factor-alpha (TNF-α) and interleukin-1 beta (IL-1β), leading to pathological angiogenesis that culminates in severe blindness[15]. Over the past few decades, angiogenesis-related diseases have attracted increasing research attention worldwide.
In recent years, research on angiogenesis has comprehensively focused on a range of aspects, starting from angiogenic factors to their upstream regulators, to provide insights into the underlying molecular mechanisms at the gene level[16]. Noncoding RNAs (ncRNAs), referring to RNAs that possess no protein encoding capacity, include long noncoding RNA (lncRNA), microRNA (miRNA), circular RNA (circRNA), etc[17]. However, they perform numerous physiological functions, including genomics imprinting, RNA modifications, editing, and gene silencing[18]. LncRNA, one of the largest categories, refer to ncRNAs greater than 200 nucleotides in length[19]. LncRNA is involved in regulation of gene expression at genomic and epigenomic levels[20]. Accumulating evidence supports a critical role of these RNA molecules in the regulation of angiogenesis. Differential expression of several lncRNAs in angiogenesis-related diseases has been reported, such as small nucleolar RNA host gene 7 (SNHG7)[21], growth arrest specific 5 (GAS5)[22]. Multiple in vivo and in vitro studies have explored the roles of lncRNA in angiogenesis-related diseases to date[23-24]. A study has demonstrated that a polypeptide ASRPS encoded by LINC00908 could inhibit angiogenesis in breast cancer[23]. More recently, a research reported that the lncRNA VEAL2 regulates angiogenesis by modulating EC functions in DR[24].
Emerging research interest has developed in bibliometric studies. The bibliometric method represents a statistical analysis of publications, providing evidence on the impact of research and facilitating the discovery of novel and emerging areas of study while identifying potential research collaborators and journals[25]. For example, Wang, et al[26] clarified the mechanisms and therapy options of gastric cancer liver metastases via bibliometrics. Another recent bibliometric study illustrated the study trends and hotspots of single-cell sequencing technology[27], a technique for genome, transcriptome and epigenome analysis at the single-cell level[28]. Importantly, bibliometrics has additionally been used to evaluate the safety and efficacy of COVID-19 vaccines during the coronavirus pandemic era[29]. While bibliometrics has been applied in multiple fields of research, to our knowledge, limited bibliometric analyses of the research trends and prospects of lncRNA in angiogenesis-related diseases have been conducted, which could provide detailed insights into the underlying mechanisms. Here, this study used the CiteSpace and the VOSviewer softwares to conduct a systematic bibliometric analysis and comprehensive visualization study, aiming to investigate the frontiers and hotspots of lncRNA in angiogenesis-related diseases research, reveal the global development trends, and provide valuable inspiration for future studies on this field.
1. Materials and methods
1.1. Data collection
All relevant publications on the current research topic were acquired from the Web of Science Core Collection (WoSCC) database, since it is one of the most commonly used worldwide sources of academic documents. The retrieval terms were as follows: TS= (long non-coding RNA OR long noncoding RNA OR lncRNA OR lincRNA) AND TS=(angiogenesis OR pathologic angiogenesis OR physiologic angiogenesis OR angiogenesis disease OR angiogenesis-related disease OR neovascularization OR physiologic neovascularization OR pathologic neovascularization OR revascularization OR neovascular disease OR new blood vessel OR vascular remodeling) AND Language= English. The document types included review and article. The time range of the retrieval was from January 1, 2012 to December 31, 2022. The search results showed a total of 1 559 publications. The retrieval results were then exported as “Plain text file” and “Full Record and Cited References” to facilitate further comprehensive analysis. Subsequently, this study excluded 43 duplicates (including duplicate articles, book chapters, proceeding papers, and retracted publications) by CiteSpace, leaving 1 516 publications. The data were further processed by incorporating regions into countries and unifying the key words with the same meaning. This study conducted the bibliometric analysis and visualization study subsequently with the remaining publications.
1.2. Data analysis
CiteSpace (6.3.R1) and VOSviewer (1.6.18) were used to conduct visualization study and bibliometric analysis since they are 2 general bibliometric research softwares[30-31]. Several valuable parameters, such as the number of publications, citation frequency, the impact factor (IF), Journal Citation Reports (JCR), value of centrality, etc. were included for analysis. Productivity of individual authors, countries, and institutions were counted according to the total number of publications. Meanwhile, centrality was included in the calculation of the country and institution analysis. Centrality is a concept commonly used in graph/network analysis to reflect the degree or importance of a node at the center of the network[30]. In the current study, the nodes in the visualization network with high centrality (≥0.1) were highlighted with purplish red rings by CiteSpace and were deemed to be as highly influential in their network. The citation frequency was applied to assess the international influence of both individual authors and published papers on the related research topic[32]. IF was acquired from the 2023 JCR and applied to evaluate the international impact of the author’s articles and published journals[33]. Burst key words are frequently cited key words in a specific period, regarded to reflect the changes in research trends and indicate the research frontiers[30]. The timeline view reveals the timing, duration, and correlation of issues in visualization study, it is used for key words analysis along with key words clustering[30]. To sum up, the retrieved data from 1516 publications were used for visualization study and bibliometric analysis based on the principles mentioned above, including an annual number of documents, cooperation of countries and institutions, analysis of journals, cooperation of authors, analysis of co-cited authors, key words clustering, a timeline view of key words, burst key words, and references analysis.
2. Results
2.1. Annual number of publications
In total, 1 516 documents relevant to this field were finally obtained. Figure 1 shows the annual number of publications in the field of lncRNA and angiogenesis-related diseases from 2012 to 2022. The amount number of publications increased from 5 to 310 in the past 11 years. Notably, the annual number of documents showed a sudden increase from 2014 until reaching the peak at 2021. In general, the number of publications related to lncRNA and angiogenesis-related diseases showed an increasing trend, indicated this research field is promising.
Figure 1. Number of annual publications on the roles of lncRNA in angiogenesis from 2012 to 2022.
LncRNA: Long noncoding RNA.
2.2. Distribution by country and institution
In total, 65 countries were identified in the 1 516 included publications of this field from 2012 to 2022. The top 10 countries with publications are shown in Figure 2A. Our results indicated that China was the leading country in the field of number of publications (1 087), second by the USA (170), Iran (57), and Italy (49). We also computed the centrality of each country to determine the influence within the country’s cooperation network. The countries with high centrality (≥0.1) are highlighted with purplish red circles in Figure 2A and were considered to be more influential in the visualization network. The centrality values of the top 10 prolific countries are presented in Table 1. The USA displayed the highest centrality (0.63), second by China (0.32), and the third was Italy (0.23). The top 10 institutions publishing papers concerning lncRNA in angiogenesis-related diseases are listed in Table 1. Overall, China and the USA were the leaders in the country cooperation networks because of their high number of publications and centrality value.
Figure 2. Co-occurrence map of countries and institutions in relation to lncRNA and angiogenesis-related diseases.
A: Co-occurrence map of countries (T≥14) focusing on the field of lncRNA in angiogenesis research; B: Co-occurrence map of institutions (T≥33) in the field of lncRNA and angiogenesis research. LncRNA: Long noncoding RNA.
Table 1.
Top 10 prolific countries and institutions in research on lncRNA and angiogenesis-related diseases
| Rank | Country | Number | Centrality | Rank | Institution | Number | Centrality |
|---|---|---|---|---|---|---|---|
|
1 2 3 4 5 6 7 8 9 10 |
China USA Iran Italy Germany India UK Canada Netherlands Australia |
1 087 170 57 49 43 38 34 27 18 15 |
0.32 0.63 0.09 0.23 0.16 0.12 0.12 0.01 0.02 0.03 |
1 2 3 4 5 6 7 8 9 10 |
Nanjing Medical University Central South University Shanghai Jiao Tong University Jilin University Huazhong University of Science and Technology Harbin Medical University Fudan University China Medical University Chinese Academy of Medical Sciences Zhejiang University |
77 73 57 46 44 44 40 39 36 33 |
0.05 0.11 0.03 0.01 0.21 0.09 0.05 0.01 0.07 0.06 |
LncRNA: Long noncoding RNA; UK: United Kingdom.
As for the institution cooperation network, the top 10 productive institutions all belonged to China (Table 1). The most contributing institution was Nanjing Medical University with 77 articles, followed by Central South University with 73 articles, and the third was Shanghai Jiao Tong University with the number of 57. There were 2 institutions with high centrality (≥0.1) including Huazhong University of Science and Technology (0.21) and Central South University (0.11), indicating that these 2 institutions were significant contributors to research in this field. As shown in Figure 2B (T≥33), these institutions occupied a central position in the institution cooperation network and were marked by the purplish red circles.
2.3. Academic journals and co-cited academic journals
The visualization analysis of citing and cited journals are displayed as the dual-map overlay by CiteSpace (supplementary Figure 1, https://doi.org/10. 57760/sciencedb.xbyxb.00074). The research published in molecular/biology/genetics journals, which were mostly cited by 2 main fields: molecular/biology/immunology fields (yellow path) and medicine/medical/clinical fields (green path). Some other citation paths were also shown such as the purple path, which was from molecular/biology/genetics, health/nursing/medicine journals, to physics/materials/chemistry journals.
The citing academic journals are on the left side and the cited academic journals are on the right side. Different color of the citing path stands for different citing relationship.
We list the top 10 cited journals in Table 2 and display their co-citation relationships with other journals in Figure 3. According to the results, the top 10 journals were widely cited in the network, and they were all cited by each other. Among them, Cell had the highest citation frequency (880 citations, IF=45.6), second by Nature (831 citations, IF=50.5), and third by PLoS One (805 citations, IF=2.9). Moreover, among the top 10 academic journals, 8 of them were Q1 (JCR) journals.
Table 2.
Top 10 frequently cited journals publishing research on lncRNA and angiogenesis-related diseases field
| Rank | Journal | Country | IF | JCR | Frequencies |
|---|---|---|---|---|---|
|
1 2 3 4 5 6 7 8 9 10 |
Cell Nature PLoS One Oncotarget Oncogene Biochemical and Biophysical Research Communications Cell Death & Disease Cancer Research Scientific Reports International Journal of Molecular Sciences |
USA USA USA — UK USA UK USA UK Switzerland |
45.6 50.5 2.9 — 6.9 2.5 8.1 12.5 3.8 4.9 |
Q1 Q1 Q1 — Q1 Q3 Q1 Q1 Q1 Q1 |
880 831 805 791 721 698 688 681 672 636 |
LncRNA: Long noncoding RNA; JCR: Journal Citation Reports; IF: Impact factor; UK: United Kingdom.
Figure 3. Co-cited journals in the research field of lncRNA and angiogenesis-related diseases.
LncRNA: Long noncoding RNA.
2.4. Authors’ cooperation networks and co-cited authors analysis
Authors’ cooperation networks are shown in Figure 4A. The nodes present authors with at least 3 publications in this field. Table 3 depicts the top 10 prolific authors and the top 10 co-cited authors. According to the results, Liu Y published the greatest number of publications (11 publications), followed by Wang X, Wang Y, and Mirzaei H with 8 publications. Authors with more than 50 co-citation frequencies (T≥50) are included in the co-cited author’s network based on VOSviewer (Figure 4B). The co-cited authors with more than 50 co-citation frequencies were divided into 5 clusters (Figure 4B), Wang Y was the first with 232 co-citation frequenies among the top 10 co-cited authors.
Figure 4. Analysis of co-authors and co-cited authors in lncRNA and angiogenesis-related diseases.
A: Authors’ cooperation network (T≥3) in the research field of lncRNA and angiogenesis-related diseases by VOSviewer. B: Co-cited author’s network (T≥50) of lncRNA and angiogenesis research visualized by VOSviewer. LncRNA: Long noncoding RNA.
Table 3.
Top 10 prolific and co-cited authors of publications associated with lncRNA and angiogenesis-related diseases
| Rank | Author | Publications | Co-cited author | Frequencies |
|---|---|---|---|---|
|
1 2 3 4 5 6 7 8 9 10 |
Liu Y Wang X Wang Y Mirzaei H Baker A Taheri M Yan B Zarrabi A Ghafouri-fard S Yao J |
11 8 8 8 7 6 6 6 6 6 |
Wang Y Zhang Y Li Y Zhang L Liu Y Mercer TR Li J Wang J Zhang J Michalik K |
232 229 186 181 179 163 162 154 150 146 |
LncRNA: Long noncoding RNA.
2.5. Analysis of key words
This study finally identified 528 research key words related to lncRNA in angiogenesis-related diseases and the top 20 frequent key words in Table 4 such as “long noncoding RNA” “angiogenesis” “proliferation” and “cancer” are listed. Next, key words were divided into 6 large clusters, “ischemic stroke” “proliferation” “extracellular vesicles” “cancer” “vascular biology” and “long non-coding RNA” (Figure 5). The timeline view illustrated the most powerful key words of a specific research topic in this field and displayed the development of this research topic (supplementary Figure 2, https://doi.org/10.57760/sciencedb. 23198). This study also captured the key words with the strongest citation explosion by CiteSpace and finally led to the acquisition of 51 key words (supplementary Figure 3, https://doi.org/10.57760/sciencedb.xbyxb.00072). By combining the number of annual publications and timeline view, this study classified research in this field from 2012 to 2022 into 3 stages: preliminary research stage, rapid growth stage and stable development stage. At the preliminary research stage (2012—2014), some rising key words were identified as “angiogenesis” “carcinoma” “gene expression” and “genome wide association”. At the rapid development stage (2015—2019), multiple types of key words were highlighted, such as “acute myocardial infarction” “coronary artery disease” and “cancer”. Various lncRNAs, such as metastasis associated lung adenocarcinoma transcript 1 (MALAT1) and HOX transcript antisense RNA (HOTAIR), were associated with tumor angiogenesis[34-35]. As for the stable growth stage (2020—2022), the emerging terms were dysfunction, vascular remodeling, and target.
Table 4.
Top 20 high-frequency key words used in the research on lncRNA in angiogenesis
| Rank | Key words | Frequencies |
|---|---|---|
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
long noncoding RNA expression angiogenesis proliferation metastasis cancer invasion growth cell apoptosis migration down regulation progression cell proliferation hepatocellular carcinoma colorectal cancer gene expression breast cancer gastric cancer epithelial-mesenchymal transition |
629 498 441 263 228 189 184 164 158 157 149 143 137 123 116 108 106 100 93 93 |
LncRNA: Long noncoding RNA.
Figure 5. Network map of key word clustering for lncRNA in relation to angiogenesis-related diseases.
LncRNA: Long noncoding RNA.
2.6. Analysis of co-cited references
Publications cited with high frequency are shown in Table 5. “Michalik KM, DOI: 10.1161/CIRCRESAHA. 114.303265” “Yan BA, DOI: 10.1161/CIRCRESAHA. 116.305510” and “Bhan A, DOI: 10.1158/0008-5472.CAN-16-2634” were the top 3 cited publications with citation frequencies of 92, 52, and 52. Top 10 cited references were considered to be the hallmark achievement and cornerstone of this field and may guide future research. Visualization analysis for co-cited references is presented in Figure 6.
Table 5.
Top 10 cited papers on lncRNA in angiogenesis-related diseases
| Rank | Author | Journal | DOI | Citation Frequencies |
|---|---|---|---|---|
|
1 2 3 4 5 6 7 8 9 10 |
Michalik KM Yan BA Bhan A Kopp F Yu B Jia P Quinn JJ Siegel RL Cai H Leisegang MS |
Circulation Research Circulation Research Cancer Research Cell Theranostics Cancer Letters Nature Reviews Genetics CA: A Cancer Journal for Clinicians Oncogene Circulation |
10.1161/CIRCRESAHA.114.303265 10.1161/CIRCRESAHA.116.305510 10.1158/0008-5472.CAN-16-2634 10.1016/j.cell.2018.01.011 10.7150/thno.26024 10.1016/j.canlet.2016.08.009 10.1038/nrg.2015.10 10.3322/caac.21387 10.1038/onc.2016.212 10.1161/CIRCULATIONAHA.116.026991 |
92 52 52 51 49 49 48 47 46 45 |
LncRNA: Long noncoding RNA.
Figure 6. Co-cited references in the research field of lncRNA in angiogenesis-related diseases.
LncRNA: Long noncoding RNA.
3. Discussion
LncRNA remains a hotspot in the research field of angiogenesis and angiogenesis-related diseases during the past decade. The current study indicated an increasing trend regarding the number of publications related to this field during the past 11 years (2012—2022), suggesting the importance and promising future of this research topic.
Among the 10 most prolific countries, 3 were developing and 7 were developed nations. China was the leading country with a total count of 1 087 publications, suggesting that China may contribute the most research achievements in this field from 2012 to 2022. China and the USA were also the top countries according to the analysis of centrality. The USA had a lower number of publications than China but a higher degree of centrality, indicating the USA obtained significant research achievements in this field. In conclusion, this study considered that China and the USA were the leaders of this study field by combining the output of publications and centrality analysis. The top 10 prolific institutions were all from China. Nanjing Medical University was the institution with the greatest number of academic documents, followed by Central South University and Shanghai Jiao Tong University. However, among the top 10 prolific institutions, only Central South University and Huazhong University of Science and Technology had centrality values exceeding 0.1, indicating their substantial influence in this field.
All top 10 journals with high citation frequency were mainly from the USA and the UK. However, the journal Oncotarget which ranked on the list of top 10 cited journals was eliminated by Science Citation Index Expanded. The data indicated that the publications in this journal need to be further improved and careful consideration is required when citing these papers. Moreover, the IF of these journals ranged from 2.5 to 50.5. The dual-map overlay of journals revealed that publications in molecular/biology/genetics fields were mostly cited by studies in molecular/biology/immunology fields and medicine/medical/clinical fields, indicating that medical research serves as primary driver of this field. Besides, the journals from molecular/biology/genetics and health/nursing/medicine to physics/materials/chemistry suggests the potential interdisciplinary collaborations. This may include material science or chemistry and medicine working togeter to develop novel drug carrier or novel drug target for angiogenesis-related diseases through lncRNA research. For example, Tao, et aldeveloped a high-yield extracellular vesicle-mimetic nanovesicles to delivery lncRNA-H19 for the treatment of diabetic wounds in the diabetic rat model[36].
All top 10 prolific authors have published at least 6 papers to date. Although not among the most prolific publishers, the top 10 co-cited authors have made substantial contributions to lncRNA research in angiogenesis-related diseases. For example, Michalik, et al characterized the expression of lncRNA in human endothelial cells and demonstrated the regulatory role of lncRNA MALAT1 in angiogenesis by using oxygen-induced retinopathy and hindlimb ischemia mouse models[37]. Their articles were of high research value and have certain guiding significance for the future research direction.
Burst key words are usually regarded as indicators of development trends and research hotspots[30]. In the current research, CiteSpace was applied to acquire the strongest key word bursts (supplementary Figure 3, https://doi.org/10.57760/sciencedb.xbyxb.00072). At the preliminary research stage, angiogenesis, carcinoma, gene expression and genome wide association were identified as the strongly cited terms. The results suggested that at this stage, researchers selectively searched for and validated specific lncRNA in this field. For example, Yuan, et al. found that the overexpression of lncRNA MVIH is closely associated with frequent microvascular invasion in a cohort of 215 hepatocellular carcinoma patients.They also found lncRNA MVIH could promote tumor angiogenesis in mouse model [38]. A review which published in 2012 summarized functions of lncRNA in the angiogenesis process of cancer[39]. During this period, researchers found a large number of lncRNA associated with angiogenesis. It laid a foundation for the further development of this field. The functions of lncRNA were further explored in the rapid growth stage (2015—2019). LncRNA has 4 classical modes of action, specifically, signal, decoy, guide and scaffold[40], and were involved in genomic and epigenomic regulation[20]. As a lncRNA, differentiation antagonizing non-protein coding RNA (DANCR) accelerated angiogenesis of ovarian cancer by directly targeting miR-145[41]. Corneal angiogenesis could be alleviated by suppression of lncRNA myocardial infarction associated transcript (MIAT) through regulating miR-1246[42]. At the more recent stage (2020—2022), other novel terms were highlighted such as vascular remodeling, dysfunction, and target, indicating the research frontiers of long noncoding RNAs and angiogenesis-related diseases. The application of lncRNA as a novel therapeutic target is set to be a potential research hotspot for further studies.
According to our analysis, lncRNA has been widely studied in the field of angiogenesis-related diseases. In future studies, researchers could focus on the specific molecular mechanisms and potential clinical applications of lncRNA in this field.
In summary, results from the current study successfully revealed the research trends and indicated hotspots and frontiers related to the lncRNA and angiogenesis-related diseases from 2012 to 2022. Overall, 1 516 publications about this research topic were finally documented. The annual output of papers related to this topic displayed an increasing trend. The countries with the highest publications and centrality value were China and the USA respectively, these 2 countries were at the center of the country cooperation network. The most prolific institution was Nanjing Medical University in China. Liu Y published the largest number of papers while Wang Y was the most frequent co-cited author. Cell was the journal with the highest citation frequency. The recent strongest key word bursts included vascular remodeling, dysfunction, and target, etc. These results shed light on future prospects in this research field.
Contributions: WANG Zicong and LI Bingyan Research design, data collecting and analysis, manuscript writing and modification; ZHOU Haixiang and CHEN Junyu and ZHU Junye Manuscript modification; ZHOU Yedi Research design, manuscript supervision and revision. The final version of the manuscript has been approved and read by all authors.
Funding Statement
This work was supported by the Natural Science Foundation of Hunan Province, China (2022JJ30869).Open access: This is an open access article under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) (<ext-link>https://creativecommons.org/licenses/by-nc-nd/4.0/</ext-link>).
Conflict of Interest
The authors declare that they have no conflicts of interest to disclose.
Footnotes
http://dx.chinadoi.cn/10.11817/j.issn.1672-7347.2024.240138
Note
http://xbyxb.csu.edu.cn/xbwk/fileup/PDF/2024121953.pdf
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