Sivaraman Rajaganapathy

Also affiliated with WinnMed, Mayo Clinic in Arizona, Mayo Clinic in Florida

Computer ScienceMedicine

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 10 papers. Top paper: “Synoptic reporting by summarizing cancer pathology reports using large language models”.

Synoptic reporting by summarizing cancer pathology reports using large language models

npj Health Systems(2025)10.1038/s44401-025-00013-8

N/A

0.380DataRank · unranked

8 citations

Shaika Chowdhury, Xiaodi Li, Vincent Buchner, Zhe He, Rui Zhang +5 more

Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae137

N/A

0.360DataRank · unranked

10 citations

Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma +12 more

Advancing efficacy prediction for electronic health records based emulated trials in repurposing heart failure therapies

npj Digital Medicine(2025)10.1038/s41746-025-01705-z

N/A

0.343DataRank · unranked

4 citations

Shaika Chowdhury, Shibo Zhou, Sivaraman Rajaganapathy, Yue Yu, Liewei Wang +8 more

Synoptic Reporting by Summarizing Cancer Pathology Reports using Large Language Models

medRxiv(2024)10.1101/2024.04.26.24306452

N/A

0.269DataRank · unranked

5 citations

Shaika Chowdhury, Vincent Buchner, Zhe He, Xiaoqian Jiang, Ping Yang +3 more

Leveraging multi-source to resolve inconsistency across pharmacogenomic datasets in drug sensitivity prediction

medRxiv(2023)10.1101/2023.05.25.23290546

N/A

0.208DataRank · unranked

3 citations

Kritib Bhattarai, Sivaraman Rajaganapathy, Liewei Wang, James R. Cerhan, Nansu Zong +1 more

Evaluation of GPT-3 for Anti-Cancer Drug Sensitivity Prediction

arXiv (Cornell University)(2023)10.48550/arxiv.2309.10016

N/A

0DataRank · unranked

1 citations

Sivaraman Rajaganapathy, Lichao Sun, James R. Cerhan, Nansu Zong, Shaika Chowdhury

Advancing Efficacy Prediction for EHR-based Emulated Trials in Repurposing Heart Failure Therapies

medRxiv(2023)10.1101/2023.05.25.23290531

N/A

0DataRank · unranked

5 citations

Shaika Chowdhury, Shibo Zhou, Sivaraman Rajaganapathy, Yue Yu, Liewei Wang +8 more

Matching Patients to Clinical Trials using LLaMA 2 Embeddings and Siamese Neural Network

medRxiv(2024)10.1101/2024.06.28.24309677

N/A

0DataRank · unranked

3 citations

Sivaraman Rajaganapathy, Yue Yu, Cui Tao, Maria Vassilaki, Nansu Zong +1 more

Using artificial intelligence to learn optimal regimen plan for Alzheimer’s disease

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad135

N/A

0DataRank · unranked

12 citations

Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, the Alzheimer’s Disease Neuroimaging Initiative +6 more

Phosphorylation alters the mechanical stiffness of a model fragment of the dystrophin homologue utrophin

Journal of Biological Chemistry(2022)10.1016/j.jbc.2022.102847

N/A

0DataRank · unranked

7 citations

Sivaraman Rajaganapathy, Anthony R. Hagerty, Cailong Hua, Gloria C. Baxter, Joseph Vavra +5 more