Rupa Bhowmick

Biochemistry, 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: “Genome-scale modeling identifies dynamic metabolic vulnerabilities during the epithelial to mesenchymal transition”.

Genome-scale modeling identifies dynamic metabolic vulnerabilities during the epithelial to mesenchymal transition

Communications Biology(2024)10.1038/s42003-024-07408-7

N/A

0.401DataRank · unranked

12 citations

Scott Campit, Shiva Krishna Katkam, Venkateshwar G. Keshamouni, Sriram Chandrasekaran, Rupa Bhowmick

An Ensemble Metabolome-Epigenome Interaction Network Identifies Metabolite Modulators of Epigenetic Drugs

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.27.530260

N/A

0DataRank · unranked

3 citations

Rupa Bhowmick, Taoan Lu, Aaditi Vivek Saoji, Jin Ran, Madeline R. Shay +3 more

Rapid prediction of thermodynamically destabilizing tyrosine phosphorylations in cancers

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.26.614998

N/A

0DataRank · unranked

2 citations

Liu Zhengqing, Atena Malemir Chegini, Jian Tian, Rupa Bhowmick, Subramanium Pennathur +4 more

A structural machine learning approach for rapid prediction of thermodynamically destabilizing tyrosine phosphorylations

Cell Reports Methods(2025)10.1016/j.crmeth.2025.101169

N/A

0DataRank · unranked

0 citations

Liu Zhengqing, Atena Malemir Chegini, Jian Tian, Rupa Bhowmick, Subramaniam Pennathur +4 more