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.
Authors
- Michael S Yao
Institutions
- California University of Pennsylvania (US)
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
Funders
- University of Pennsylvania
- National Institutes of Health