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The top 100 most-cited articles on large language models in medicine: A bibliometric analysis.

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Title: The top 100 most-cited articles on large language models in medicine: A bibliometric analysis.
Authors: Li ZQ; Centre for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China., Xu R; Department of Hematology and Oncology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China., Gong XR; Department of Environmental Health, Dalian Center for Disease Control and Prevention, Dalian, China., Wang CL; Centre for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China., Liu JP; Centre for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.; The National Research Center in Complementary and Alternative Medicine (NAFKAM), Department of Community Medicine, Faculty of Health Science, UiT the Arctic University of Norway, Tromsø, Norway.
Source: Digital health [Digit Health] 2025 Sep 12; Vol. 11, pp. 20552076251365059. Date of Electronic Publication: 2025 Sep 12 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Li+ZQ%22">Li ZQ</searchLink>; Centre for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Xu+R%22">Xu R</searchLink>; Department of Hematology and Oncology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Gong+XR%22">Gong XR</searchLink>; Department of Environmental Health, Dalian Center for Disease Control and Prevention, Dalian, China.<br /><searchLink fieldCode="AU" term="%22Wang+CL%22">Wang CL</searchLink>; Centre for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Liu+JP%22">Liu JP</searchLink>; Centre for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.; The National Research Center in Complementary and Alternative Medicine (NAFKAM), Department of Community Medicine, Faculty of Health Science, UiT the Arctic University of Norway, Tromsø, Norway.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications+Ltd%22">SAGE Publications Ltd </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101690863 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2055-2076 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220552076%22">20552076 </searchLink><i>NLM ISO Abbreviation: </i>Digit Health <i>Subsets: </i>PubMed not MEDLINE
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              Text: 2025 Sep 12
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