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. 2022 Sep 26;13:974849. doi: 10.3389/fphar.2022.974849

TABLE 7.

Top 20 highly cited ESI publications from 2011 to 2020.

No Author (PY) Title TC TCPY Journal Institution,Country/Region OPC
1 Wishart, DS et al. (2018) DrugBank 5.0: a major update to the DrugBank database for 2018 1820 606.7 Nucleic Acids Res Univ Alberta, Canada et al. None
2 Pushpakom, S et al. (2019) Drug repurposing: progress, challenges and recommendations 885 442.5 Nat. Rev. Drug Discov Univ Liverpool, England et al. None
3 Maier, L et al. (2018) Extensive impact of non-antibiotic drugs on human gut bacteria 639 213.0 Nature European Mol Biol Lab, Germany et al. Japan
4 Zhou, YD et al. (2020); Cheng, FX et al. (2020) Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2 609 609.0 Cell Discov Cleveland Clin, United States et al. None
5 Anighohro, A et al. (2014) Polypharmacology: Challenges and Opportunities in Drug Discovery 492 70.3 J. Med. Chem Univ Modena and Reggio Emilia, Italy et al. Germany
6 Cheng, FX et al. (2012) Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference 491 54.6 PLoS Comput. Biol E China Univ Sci and Technol, Peoples R China None
7 Langhans, SA (2018) Three-Dimensional in Vitro Cell Culture Models in Drug Discovery and Drug Repositioning 395 131.7 Front. Pharmacol Alfred I DuPont Hosp Children, United States None
8 Xu, M et al. (2016) Identification of small-molecule inhibitors of Zika virus infection and induced neural cell death via a drug repurposing screen 389 77.8 Nat. Med NIH, United States et al. China
9 Sirota, M et al. (2011); Dudley, JT et al. (2011) Discovery and Preclinical Validation of Drug Indications Using Compendia of Public Gene Expression Data 327 32.7 Sci. Transl. Med Stanford Univ, United States None
10 Sriram, K et al. (2018) G Protein-Coupled Receptors as Targets for Approved Drugs: How Many Targets and How Many Drugs? 311 103.7 Mol. Pharmacol Univ Calif San Diego, United States None
11 Dudley, JT et al. (2011) Exploiting drug-disease relationships for computational drug repositioning 282 28.2 Brief. Bioinform Arizona State Univ, United States et al. None
12 Medina-Franco, JL et al. (2013) Shifting from the single to the multitarget paradigm in drug discovery 285 35.6 Drug Discov. Today Univ Nacl Autonoma Mexico, Mexico et al. The United States
13 Peters, JU (2013) Polypharmacology - Foe or Friend? 275 34.4 J. Med. Chem F Hoffmann La Roche Ltd., Switzerland None
14 Yoshida, GJ et al. (2015) Metabolic reprogramming: the emerging concept and associated therapeutic strategies 255 42.5 J. Exp. Clin. Cancer Res Japan Soc Promot Sci, Japan None
15 Skrott, Z et al. (2017) Alcohol-abuse drug disulfiram targets cancer via p97 segregase adaptor NPL4 249 62.3 Nature Palacky Univ/Czech Republic et al. Denmark; Sweden; Switzerland; The United States; China
16 Li, J et al. (2016) A survey of current trends in computational drug repositioning 242 48.4 Brief. Bioinform Chinese Acad Med Sci, Peoples R China et al. The United States
17 Stokes, JM et al. (2020) A Deep Learning Approach to Antibiotic Discovery 235 235 Cell MIT, United States et al. Canada
18 Reddy, AS et al. (2013) Polypharmacology: drug discovery for the future 228 28.5 Expert Rev. Clin. Pharmacol Univ Texas Houston, United States None
19 Menden, MP et al. (2013) Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties 229 28.6 PLoS One Wellcome Trust Genome Campus Cambridge, England et al. The United States
20 Beck, BR et al. (2020) Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model 225 225 Comp. Struct. Biotechnol. J Deargen Inc., South Korea et al. The United States

Notes: PY, publication year; TC, total citations; TCPY, total citations per year; and OPC, other partner countries.