Suspected distortion of citations in high-impact cancer journals

Research and scholarship are shaped by article citations, which underpin the communication of ideas, assignment of credit, journal impact factors, and author career progression. Given their key influence on author and journal metrics, citations can be intentionally manipulated to inflate the reputation of journals and researchers. Paper mills, unethical organizations that produce and sell manuscripts and publishing services, may also be manipulating citations, but the extent of this manipulation is unknown. Here, we show that molecular cancer articles sharing features with retracted papers from paper mills display citation patterns that suggest systematic inflation. These articles were published in journals in the top decile of journal rankings. Suspected paper mill articles received 50 to 100% more citations than other papers 1 to 3 y after publication, while paradoxically attracting fewer readers and online accesses. Suspected paper mill articles also cited-and were cited by-other suspected paper mill articles, which frequently appeared in journals previously reported as paper mill targets. Citations from suspected paper mill articles measurably inflated journal citation metrics. These findings suggest that paper mills inflate the citation metrics of supported publications and affected journals at scale. This widespread manipulation of citation metrics may amplify unreliable findings, slowing scientific progress and spurring unreasonable citation benchmarks for research articles, journals, and authors. Our findings point to measurable signatures of citation manipulation that could support article- and journal-level screening.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-10-15
DOI
https://doi.org/10.1073/pnas.2618402123
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00

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article

Suspected distortion of citations in high-impact cancer journals

David Causeur, Adrian Gerard Barnett, Jennifer Anne Byrne, Baptiste Scancar
Proceedings of the National Academy of Sciences
scientometrics and bibliometrics research
article

Suspected distortion of citations in high-impact cancer journals

David Causeur, Adrian Gerard Barnett, Jennifer Anne Byrne, Baptiste Scancar
article en

Abstract

Research and scholarship are shaped by article citations, which underpin the communication of ideas, assignment of credit, journal impact factors, and author career progression. Given their key influence on author and journal metrics, citations can be intentionally manipulated to inflate the reputation of journals and researchers. Paper mills, unethical organizations that produce and sell manuscripts and publishing services, may also be manipulating citations, but the extent of this manipulation is unknown. Here, we show that molecular cancer articles sharing features with retracted papers from paper mills display citation patterns that suggest systematic inflation. These articles were published in journals in the top decile of journal rankings. Suspected paper mill articles received 50 to 100% more citations than other papers 1 to 3 y after publication, while paradoxically attracting fewer readers and online accesses. Suspected paper mill articles also cited-and were cited by-other suspected paper mill articles, which frequently appeared in journals previously reported as paper mill targets. Citations from suspected paper mill articles measurably inflated journal citation metrics. These findings suggest that paper mills inflate the citation metrics of supported publications and affected journals at scale. This widespread manipulation of citation metrics may amplify unreliable findings, slowing scientific progress and spurring unreasonable citation benchmarks for research articles, journals, and authors. Our findings point to measurable signatures of citation manipulation that could support article- and journal-level screening.

Proceedings of the National Academy of SciencesVol. 123(42)
Centre National de la Recherche Scientifique (FR), The University of Sydney (AU), Queensland University of Technology (AU), Institut de recherche mathématique de Rennes (FR), NSW Health Pathology (AU)
National Health and Medical Research Council
Openalex Percentile: Top 11%
scientometrics and bibliometrics research
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