Tapsya Nayak

The University of Texas at San Antonio Health Science Center

NeuroscienceComputer ScienceBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning”.

shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning

Patterns(2024)10.1016/j.patter.2023.100894

N/A

0.448DataRank · unranked

9 citations

Michael Ning, Tapsya Nayak, Michael J. Kasper, Satdarshan P. Monga, Yufei Huang +3 more

DepLink: an R Shiny app to systematically link genetic and pharmacologic dependencies of cancer

Bioinformatics Advances(2023)10.1093/bioadv/vbad076

N/A

0.360DataRank · unranked

10 citations

Li‐Ju Wang, Michael Ning, Gabriela Rubannelsonkumar, Eric Jin, Siyuan Zheng +5 more

Onset timing of letter processing in auditory and visual sensory cortices

Frontiers in Integrative Neuroscience(2024)10.3389/fnint.2024.1427149

N/A

0DataRank · unranked

3 citations

Fa‐Hsuan Lin, Benjamin Letham, Kaisu Lankinen, Tapsya Nayak, Thomas Witzel +3 more

Cell type prediction with neighborhood-enhanced cellular embedding using deep learning on hematoxylin and eosin-stained images

Computational and Structural Biotechnology Journal(2025)10.1016/j.csbj.2025.07.026

N/A

0DataRank · unranked

0 citations

Hanzhou Wang, Tapsya Nayak, Zhenqing Ye, Yu‐Chiao Chiu, Yu-Fang Jin +3 more