A bibliometric study of COVID-19 research in Web of Science.

Su, Meiming; Xu, Suowen; Weng, Jianping

Su, Meiming; Xu, Suowen; Weng, Jianping.

Su M; Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
Xu S; Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China. Electronic address: sxu1984@ustc.edu.cn.
Weng J; Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China. Electronic address: wengjp@ustc.edu.cn.

Pharmacol Res ; 169: 105664, 2021 07.

Article in English | MEDLINE | ID: covidwho-1225365

Subject(s)

Bibliometrics; Biomedical Research/classification; COVID-19/epidemiology; COVID-19/metabolism; Periodicals as Topic/classification; SARS-CoV-2/metabolism; Antiviral Agents/administration & dosage; Antiviral Agents/metabolism; Biomedical Research/trends; COVID-19/therapy; Humans; Periodicals as Topic/trends; SARS-CoV-2/drug effects

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Periodicals as Topic / Bibliometrics / Biomedical Research / SARS-CoV-2 / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Pharmacol Res Journal subject: Pharmacology Year: 2021 Document Type: Article Affiliation country: J.phrs.2021.105664

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