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Cited by 954

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Historical comparison of gender inequality in scientific careers across countries and disciplines

Open access
Huang, Junming, Gates, Alexander J., Sinatra, Roberta, Barabási, Albert-László·2020·Proceedings of the National Academy of Sciences

Abstract

Significance: Empirical evidence suggests significant gender differences in the total productivity and impact of academic careers across science, technology, engineering, and mathematics (STEM) fields. Paradoxically, the increase in the number of women academics over the past 60 years has increased these gender differences. Yet, we find that men and women publish a comparable number of papers per year and have equivalent career-wise impact for the same total number of publications. This suggests the productivity and impact of gender differences are explained by different publishing career lengths and dropout rates. This comprehensive picture of gender inequality in academic publishing can help rephrase the conversation around the sustainability of women’s careers in academia, with important consequences for institutions and policy makers.

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Registry

Crossref · 10.1073/pnas.1914221117

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Metadata

Authors
Huang, J., Gates, A. J., Sinatra, R., & Barabási, A.-L.
Venue
Proceedings of the National Academy of Sciences
Published
2020-02-18
Volume
117
Issue
9
Pages
4609-4616
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3006753318
Cited by
954
References
59
FWCI
84.08
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Historical comparison of gender inequality in scientific careers across countries and disciplines. https://app.cochat.ai/papers/10.1073/pnas.1914221117
The paper
Huang, J., Gates, A. J., Sinatra, R., & Barabási, A.-L. (2020). Historical comparison of gender inequality in scientific careers across countries and disciplines. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1914221117

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.