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Study Suggests Prestige, Not Just Peer Review, Shapes Who Gets Published
In A Nutshell
- A study of 110,303 manuscripts submitted to Science and Science Advances found that institutional prestige and team size were tied to acceptance rates three times higher than for less prestigious or smaller-team submissions.
- China-based corresponding authors were accepted at less than a third the rate of those based in the United States or Canada.
- The gender gap in acceptance rates was real but far smaller than the gaps linked to prestige, team size, or research topic.
- The authors stress these are associations, not proof of bias, since manuscript quality can’t be measured separately from how editors and reviewers judge it.
Getting a paper published in one of the world’s most selective science journals is supposed to be a pure meritocracy, the best science wins, full stop. But a sweeping new analysis of 110,303 manuscript submissions reveals that an author’s institution and team size carry enormous weight in acceptance rates, weight that dwarfs almost every other measured factor, gender included.
Researchers examined five years of submission data from Science and Science Advances, two of the most influential scientific publications on the planet, covering 2015 through 2020. What they found is a detailed, sometimes uncomfortable picture of how gatekeeping actually works at the top of science publishing, with researchers based in China facing a significant disadvantage at nearly every step, at both journals.
Journals typically keep review data confidential, so information on who submits, who gets reviewed, and who gets published rarely reaches outsiders. The study, published in Science Advances, stands out because the authors released a deidentified version of the dataset publicly.
The Two-Stage Filter at Elite Science Journals
Most people picture peer review as a single process: scientists submit a paper, outside experts weigh in, editors decide. At elite journals like Science, there are actually two stages, each its own filter. Editors, aided by an outside panel called the Board of Reviewing Editors, screen submissions before any formal expert sees the paper. Editors rejected 28.1% of the roughly 68,000 submissions outright, and of those sent to the panel, about 75% were turned down before formal review.
Only then does peer review begin, with acceptance rates of 35.3% at Science and 40.8% at Science Advances, far higher than the rates across the full editorial stage. This matters because the factors shaping a paper’s fate hit hardest at that first door, not the second: associations are generally stronger in editorial review than peer review, suggesting the initial screening is where the most consequential judgments happen.
Prestige and Team Size: The Numbers Behind Publication Success
At Science, acceptance rates varied sharply by institution and team size. The most prestigious quintile of institutions had an acceptance rate of 11.6%, compared to 3.4% for the two least prestigious quintiles, a gap of more than three to one; Science Advances showed a broadly similar pattern, though exact numbers differed. Large teams of ten or more authors were accepted at 9.9%, versus 3.3% for small teams of five or fewer, a gap that may reflect a genuine difference in the work big teams produce, or it may simply be that editors are reluctant to reject a paper backed by dozens of established names.
China-based corresponding authors faced a significant and persistent disadvantage at both journals, accepted at less than a third the rate of authors based in the United States or Canada. Both Chinese affiliation and having a Chinese last name were independently linked to worse outcomes at nearly every step. This pattern may possibly reflect a region-specific pressure to submit to high-impact journals regardless of fit, sometimes linked to financial incentives tied to prestigious publication, though the study does not demonstrate this explains the gap.
Gender Gap: Real, but Smaller Than Expected
One closely watched question is whether women face bias in peer review. The study found a real but modest gap. At Science, papers with women as corresponding authors were accepted at 5.3%, compared to 6.4% for men, a 1.1 percentage point difference, statistically meaningful but far smaller than the gaps tied to prestige or team size.
Reviewer sentiment showed a similar tilt. Both men and women reviewers gave modestly more positive reviews to manuscripts with men as corresponding authors at Science, consistent with reviewers slightly favoring men, though this does not necessarily demonstrate bias; it could reflect unmeasured seniority effects, since senior scientists tend to receive more favorable treatment and are statistically more likely to be men. The pattern appeared at Science but not Science Advances. Researchers estimate that if manuscripts with women corresponding authors had fared as well as those with men, Science could potentially have published 18.4 ± 4.9 additional papers per year with women as corresponding authors, roughly a 12 ± 3% increase, an estimate rather than a confirmed count.
A Paper’s Subject Was Also Closely Linked to Its Chances
What a paper is about plays a large role in whether it gets published. The study grouped submissions into ten broad topics and found acceptance rates at Science ranging from 1.7% to 9.6%, a nearly sixfold difference. Research on viruses, RNA, immune response, and infection fared best; research on politics, economics, gender, and the societal dimensions of COVID fared worst, with disparities at every stage. This could reflect genuine editorial preferences, differences in manuscript fit across fields, or an oversupply of submissions in some areas.
None of this proves deliberate bias drives these patterns. The data reveal disparities but cannot pin down their causes: prestige and team size might partly reflect genuine differences in research quality and resources. Documenting the patterns still matters, the authors argue, the same way documenting pay gaps matters for society before causes are understood. Editors largely follow reviewers’ advice, but papers from prestigious institutions are far more likely to make it through the first door long before reviewers ever see them.
Disclaimer: This article summarizes findings from a peer-reviewed study and is intended for general informational purposes. It does not represent an evaluation of any individual journal, editor, reviewer, or researcher, and it should not be read as an accusation of bias or wrongdoing by any party named or referenced in the underlying research.
Paper Notes
Study Limitations
The authors acknowledge several important limitations. Because manuscript quality cannot be measured independently of expert evaluation, it is impossible to fully separate genuine quality differences from bias or preferential treatment. The prestige and team-size advantages could partly reflect real differences in research resources and output rather than status-based favoritism alone. The study also cannot fully rule out “collider bias,” the possibility that because peer review only happens on manuscripts that already passed editorial screening, the analysis of peer review outcomes may be distorted in ways that are hard to detect. To preserve anonymity, the researchers summarized the full text of peer reviews using simpler measures like length and overall tone, limiting the depth of insight available from review content. The topic categories are broad and may obscure finer-grained editorial preferences. Finally, the study describes correlations and associations, not proven causes. The data do not support definitive claims about deliberate bias by any editor or reviewer.
Funding and Disclosures
The study was supported in part by the Air Force Office of Scientific Research, the National Science Foundation, and an NSF Alan T. Waterman Award. One of the corresponding authors, Aaron Clauset, is listed as a deputy editor at Science Advances, one of the two journals studied. All other authors declared no competing interests. The underlying data were provided by the American Association for the Advancement of Science under a data use agreement.
Publication Details
Authors: Sam Zhang, Nicholas LaBerge, Quinten McElhiney, Daniel B. Larremore, and Aaron Clauset. The authors are affiliated with the Department of Mathematics and Statistics at the University of Vermont, the Santa Fe Institute, the Applied Mathematics Department at the University of Colorado Boulder, the Computer Science Department at the University of Colorado Boulder, and the BioFrontiers Institute at the University of Colorado Boulder. | Journal: Science Advances, Volume 12, Issue 29 | Paper Title: “Editorial and peer review dynamics at elite general science journals” | Published: July 15, 2026 | DOI: 10.1126/sciadv.aec0494







