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

ABSTRACT:

Objectives

Large language models (LLMs) are revolutionizing medical research. However, there is a lack of bibliometric analysis that identifies citation trends shaping the history of this field. This study analyzes the top 100 (T100) most-cited articles on LLMs in medicine to assess their impact and characteristics.

Methods

A bibliometric analysis of top-cited articles in the Web of Science database using search terms like "LLMs, generative artificial intelligence, GPT" from 2022 to 2025. Two reviewers identified the T100 papers, extracting publication details, citations, and research themes, adhering to BIBLIO reporting guidelines.

Results

The T100 articles had contributed from 655 authors, and 92 articles were published in 2023. Original research constituted the maj

SUBMITTER: Li ZQ 

PROVIDER: S-EPMC12432328 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature