Bryan Chun

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: “Computational model of cardiomyocyte apoptosis identifies mechanisms of tyrosine kinase inhibitor-induced cardiotoxicity”.

Computational model of cardiomyocyte apoptosis identifies mechanisms of tyrosine kinase inhibitor-induced cardiotoxicity

Journal of Molecular and Cellular Cardiology(2021)10.1016/j.yjmcc.2021.02.014

N/A

0DataRank · unranked

32 citations

Bryan Chun, Raquel Moya, Jeffrey J. Saucerman, Monika E. Grabowska

Single-cell dynamics reveal a stress-induced decision between cardiomyocyte hypertrophy and apoptosis

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.17.435783

N/A

0DataRank · unranked

0 citations

Lavie Ngo, Jeffrey J. Saucerman, Bryan Chun

Identifying metabolic adaptations characteristic of cardiotoxicity using paired transcriptomics and metabolomics data integrated with a computational model of heart metabolism

PLoS Computational Biology(2024)10.1371/journal.pcbi.1011919

N/A

0DataRank · unranked

6 citations

Connor J. Moore, Kristopher D. Rawls, Matthew L. Jenior, Bryan Chun, Sarbajeet Nagdas +5 more

Single-cell dynamics reveal a stress-induced decision between hypertrophy and apoptosis in neonatal rat cardiomyocytes

Journal of Molecular and Cellular Cardiology Plus(2025)10.1016/j.jmccpl.2025.100484

N/A

0DataRank · unranked

0 citations

Lavie Ngo, Jeffrey J. Saucerman, Bryan Chun