Author

Punam Thapa

University of Mississippi Medical Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2 Developmental Biology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Assay:imaging· 4 Organism:mouse· 4 Approach:experimental assay· 3 Organism:human· 3 Research Focus:benchmarking· 2 Organism:rat· 2 Approach:benchmark study· 1

Frequent Co-Authors

Bradley J. WaltersiD· 4 shared Sumana GhoshiD· 2 shared Akira IshiyamaiD· 1 shared Albert S.B. EdgeiD· 1 shared Alejandra Catalina Vélez-OrtegaiD· 1 shared Amandine JarystaiD· 1 shared Ana I. López-PorrasiD· 1 shared Ángela BallesterosiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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4 shared papersNeuroscience

Bradley J. WaltersORCID

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4 papers

Recent·Most cited

The RNA editing enzyme ADARB1 is readily detectable in primary auditory neurons and provides a means for automated counting

Garner C. Fincher, Punam Thapa, Steven C. Gressett, Bradley J. Walters

The paper identifies ADARB1 as a marker for spiral ganglion neurons and validates its use for automated counting across species.

bioRxiv · Mar 29, 2026 · PreprintNeuroscience

PCP Auto Count: A Novel Fiji/ImageJ plug-in for automated quantification of planar cell polarity and cell counting

Kendra L. Stansak, Luke D. Baum, Sumana Ghosh, Punam Thapa, Vineel Vanga, Bradley J. Walters

PCP Auto Count is a Fiji/ImageJ plug-in that automates cell counting and planar cell polarity measurements, showing high accuracy across multiple tissues and species.

Frontiers in Cell and Developmental Biology · May 17, 2024Peer-reviewedDevelopmental Biology

Large-scale annotated dataset for cochlear hair cell detection and classification

Christopher J. Buswinka, David B. Rosenberg, Rubina G. Simikyan, Richard T. Osgood, Katharine A. Fernandez, Hidetomi Nitta, Yushi Hayashi, Leslie W. Liberman, Emily Nguyen, Erdem Yıldız, Jin‐Kyung Kim, Amandine Jarysta, Justine M. Renauld, Ella Wesson, Haobing Wang, , Artur A. Indzhykulian

The paper presents a large annotated dataset of cochlear hair cells for machine learning applications in hearing research.

Scientific Data · Apr 23, 2024Peer-reviewedNeuroscience

Identification of putative GATA3 regulatory elements and comparison of GATA3 distribution in cochleae of mice, rats, macaques, and humans.

Sumana Ghosh, Robert Wineski, Iván A. López, Akira Ishiyama, Punam Thapa, Bradley J. Walters

The paper identifies GATA3 regulatory elements and compares GATA3 distribution across species, finding conservation in cochlear cell types but a unique absence in human inner hair cells.

bioRxiv · Oct 12, 2022 · PreprintMolecular Biology