Author

Pranujan Pathmendra

The University of SydneyORCID 0000-0002-9425-6271Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:experimental assay· 1

Frequent Co-Authors

Jennifer Anne ByrneiD· 3 shared Amanda Capes‐DavisiD· 2 shared Cyril LabbéiD· 2 shared Guillaume CabanaciD· 2 shared Thomas StoegeriD· 2 shared Aaron Lee· 1 shared Bertrand FavieriD· 1 shared Danielle J. OsteiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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3 shared papersGenomics

Jennifer Anne ByrneORCID

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3 papers

Recent·Most cited

GenomicsRNAPeer-reviewedSep 22, 2026

Verification of human nucleotide sequence reagents and cell line identities in original circRNA articles published in high impact factor journals

Pranujan Pathmendra, Francisco J. Enguita, Jennifer Anne Byrne

This study verifies nucleotide sequence reagents and cell line identities in circRNA papers and finds frequent errors in high-impact journals.

DOI 10.1261/rna.081131.126

humanstatistical model

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Cancer BiologyInternational Journal of CancerPeer-reviewedMay 15, 2024

Misspellings or miscellings- non-verifiable cell lines in cancer research publications

Danielle J. Oste, Pranujan Pathmendra, Reese A. K. Richardson…·Jennifer Anne Byrne

The paper identifies non-verifiable human cell lines in cancer research publications, finding 235 papers referring to 7 cell lines as independent entities despite lacking proper documentation.

26 citationstop 4%

humanexperimental assay

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GeneticsLife Science AlliancePeer-reviewedJan 12, 2022

Human gene function publications that describe wrongly identified nucleotide sequence reagents are unacceptably frequent within the genetics literature

Yasunori Park, Rachael A. West, Pranujan Pathmendra…·Jennifer Anne Byrne

The paper screens gene function literature for nucleotide sequence errors, finding 712 papers with at least one wrongly identified sequence, which may misinform future therapies.

37 citationstop 4%

humanstatistical model

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