Evidence map›Paper›PMID 41231907›Full record

ArticlePloS one2025

Gender gap in citations, h-index, and representation: Examining the highly cited authors across continents and disciplines in Google Scholar.

Manuel Goyanes, Adrián Domínguez-Díaz, Beatriz Jordá, Luis de-Marcos

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Manuel GoyanesDepartment of Communication, MITCOM Research Group, Universidad Carlos III de Madrid, Spain.
Adrián Domínguez-DíazDepartment of Computer Science, Universidad de Alcalá, Spain.ORCID https://orcid.org/0000-0001-7632-8609
Beatriz JordáDepartment of Communication, MITCOM Research Group, Universidad Carlos III de Madrid, Spain.ORCID https://orcid.org/0000-0003-2576-2426
Luis de-MarcosDepartment of Computer Science, Universidad de Alcalá, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates gender inequalities in academia by examining differences in representation, citations, and h-index between male and female highly cited researchers across disciplines and geographic regions. Using a unique dataset from Google Scholar, this study analyzes 21,509 highly cited authors across 191 fields and all continents. We examine gender disparities in citations, h-index, and representation while controlling for research productivity and career length to determine if female researchers experience different outcomes compared to their male counterparts. The findings reveal that women are significantly underrepresented among highly cited scholars globally (0.255 women per man) and receive fewer citations and have lower h-indexes than men in most regions and disciplines. However, after controlling for productivity and career length, female scholars are cited more than men in the pooled sample, Asia, Europe, and in two fields (natural sciences and exact sciences/physics). Despite this, women's h-index remains significantly lower than men's in all regions except Africa and South America, and in all fields except social sciences. This study highlights the persistence of gender inequalities in academic representation and long-term impact, as measured by the h-index. The results suggest that while citation rates for female researchers can match or exceed those of male scholars when productivity is controlled for, structural barriers continue to limit women's long-term recognition in academia. This research contributes to the understanding of gender disparities among top researchers, showing that while citation parity is possible, significant gender gaps remain in overall academic representation and long-term recognition through h-index measures.

Indexed as

AuthorshipBibliometricsWomenFemaleHumansMaleSex FactorsSexism

Identifiers

PMID41231907
PMCPMC12614618

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.