Large Language Model-Based Evaluation of the Impact of Gender in Medical Research

While our findings revealed persistent gender-based differences in authorship trends, citation practices, and journal placement, we also observed ongoing, meaningful progress in female representation within academic medical research over time. Our results suggest that LLMs can be a powerful tool to scalably and periodically track this continued progress in future academic medical research.

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Publication Details

Journal
medRxiv
Published
2026-01-08
DOI
https://doi.org/10.64898/2026.01.06.26343564
Primary Topic
Sex and Gender in Healthcare
Type
article
Field-Weighted Citation Impact
0.00

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article

Large Language Model-Based Evaluation of the Impact of Gender in Medical Research

Michael S Yao
medRxiv
Sex and Gender in Healthcare
article

Large Language Model-Based Evaluation of the Impact of Gender in Medical Research

Michael S Yao
article en

Abstract

While our findings revealed persistent gender-based differences in authorship trends, citation practices, and journal placement, we also observed ongoing, meaningful progress in female representation within academic medical research over time. Our results suggest that LLMs can be a powerful tool to scalably and periodically track this continued progress in future academic medical research.

medRxiv
California University of Pennsylvania (US)
University of Pennsylvania, National Institutes of Health
Quality Education
Openalex Percentile: Top 94%
Sex and Gender in Healthcare
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Large Language Model-Based Evaluation of the Impact of Gender in Medical Research — Michael S Yao · medRxiv (2026) | TGRS Research Map | TGRS