The effect of gender diversity on scientific team impact: A team roles perspective
• We unpack the distinct effect of gender diversity in two specific roles, namely leadership and support roles, on team impact. • The relationship between gender diversity and team impact follows an inverted U-shape for both leadership and support groups. • Team size serves as a moderator of the relationship between leadership-group gender diversity and team impact. The influence of gender diversity on the success of scientific teams is of great interest to academia. However, prior findings remain inconsistent, and most studies operationalize diversity in aggregate terms, overlooking internal role differentiation. This limitation obscures a more nuanced understanding of how gender diversity shapes team impact. In particular, the effect of gender diversity across different team roles remains poorly understood. To this end, we define a scientific team as all coauthors of a paper and measure team impact through five-year citation counts. Using author contribution statements, we classified members into leadership and support roles. Drawing on more than 130,000 papers from PLOS journals, most of which are in biomedical-related disciplines, we employed multivariable regression to examine the association between gender diversity in these roles and team impact. Furthermore, we apply a threshold regression model to investigate how team size moderates this relationship. The results show that (1) the relationship between gender diversity and team impact follows an inverted U-shape for both leadership and support groups; (2) teams with an all-female leadership group and an all-male support group achieve higher impact than other team types. Interestingly, (3) the effect of leadership-group gender diversity is significantly negative for small teams but becomes positive and statistically insignificant in large teams. In contrast, the estimates for support-group gender diversity remain significant and positive, regardless of team size.
Authors
- Yi Zhao (ORCID: https://orcid.org/0000-0001-5602-6048)
- Yuzhuo Wang
- Heng Zhang
- Donghun Kim
- Chao Lu
- Chengzhi Zhang
- Yongjun Zhu
Institutions
- Anhui University (CN)
- Hohai University (CN)
- Yonsei University (KR)
- Nanjing University of Science and Technology (CN)
- Central China Normal University (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Journal of Informetrics
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1016/j.joi.2025.101766
- Primary Topic
- Diversity and Career in Medicine
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Natural Science Foundation of China
- Yonsei University
- Jiangsu University
- National Research Foundation of Korea
- National Office for Philosophy and Social Sciences
- Institute of Convergence Science, Yonsei University