Author

Adrian Gerard Barnett

Queensland University of TechnologyORCID 0000-0001-6339-0374Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:transformer / foundation model· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:mixed model· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Baptiste ScancariD· 2 shared David CauseuriD· 2 shared Jennifer Anne ByrneiD· 2 shared Andrew Adrian Y. PuaiD· 1 shared April Robin MartinigiD· 1 shared Aswathi SurendraniD· 1 shared Bawan AminiD· 1 shared David N. BorgiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersCancer Biology

Baptiste ScancarORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintSep 16, 2026

✦ In-depth digest

Suspected distortion of citations in high-impact cancer journals

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

Molecular oncology papers that textually resemble retracted paper mill papers receive 50 to 100% more citations yet fewer readers, cite one another, and measurably inflate some journals' citation rates.

4 citations

statistical modelmixed model

𝕏 PostBluesky

Cancer BiologyBMJPeer-reviewedJan 29, 2026

✦ In-depth digest

Revealing the Paper Mill Iceberg: AI-Based Screening of Cancer Research Publications.

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

A BERT classifier on titles and abstracts flagged 9.87% of 2.6 million cancer papers (1999 to 2024) as resembling retracted paper mill papers, with yearly shares rising past 15%.

26 citationstop 1%

deep learningtransformer / foundation model

𝕏 PostBluesky

Scientific Communication & EducationPLoS BiologyPeer-reviewedJul 23, 2024

Best Paper awards lack transparency, inclusivity, and support for Open Science

Malgorzata Lagisz, Joanna Rutkowska, Upama Aich…·Shinichi Nakagawa

This paper surveys 222 Best Paper awards across disciplines and finds they lack transparency, inclusivity, and support for Open Science, with geographic and gender biases.

15 citationstop 3%

benchmark studybenchmarking

𝕏 PostBluesky