🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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Srushti Gangireddy

Srushti Gangireddy

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: “De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository”.

De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad077

N/A

0DataRank · unranked

19 citations

Andrew T. Girvin, Miles Crosskey, Srushti Gangireddy, Hiral Master, Wei‐Qi Wei +10 more

Human Immunodeficiency Virus Status, Tenofovir Exposure, and the Risk of Poor Coronavirus Disease 19 Outcomes: Real-World Analysis From 6 United States Cohorts Before Vaccine Rollout

Clinical Infectious Diseases(2023)10.1093/cid/ciad084

N/A

0DataRank · unranked

17 citations

Wendy A. Leyden, Oleg Sofrygin, Ben J. Marafino, Jacek Skarbinski, Sonia Napravnik +17 more

Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad233

N/A

0DataRank · unranked

8 citations

Sara L. Van Driest, Jamie R. Robinson, Anna E. Patrick, Chris Guardo, Srushti Gangireddy +6 more

De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository

UNC Libraries(2023)10.17615/f94q-ba86

N/A

0DataRank · unranked

1 citations

Melissa A Haendel, Wei‐Qi Wei, Chris Lunt, Paul A. Harris, Emily Pfaff +10 more

Developing and Evaluating Pediatric Phecodes (Peds-Phecodes) for High-Throughput Phenotyping Using Electronic Health Records

medRxiv(2023)10.1101/2023.08.22.23294435

N/A

0DataRank · unranked

0 citations

Sara L. Van Driest, Jamie R. Robinson, Anna E. Patrick, Chris Guardo, Srushti Gangireddy +6 more

Characterizing genetic profiles for high triglyceride levels in U.S. patients of African ancestry

Journal of Lipid Research(2024)10.1016/j.jlr.2024.100569

N/A

0DataRank · unranked

2 citations

Srushti Gangireddy, Alyson L. Dickson, Yi Xin, Chao Yan, Vivian Kawai +6 more

Characterizing genetic profiles for high triglyceride levels in U.S. patients of African ancestry

medRxiv(2024)10.1101/2024.03.11.24304107

N/A

0DataRank · unranked

1 citations

Srushti Gangireddy, Alyson L. Dickson, Yi Xin, Chao Yan, Vivian Kawai +6 more

Standardizing phenotypic algorithms for the classification of degenerative rotator cuff tear from electronic health record systems

JAMIA Open(2025)10.1093/jamiaopen/ooaf014

N/A

0DataRank · unranked

2 citations

Nelly-Estefanie Garduno-Rapp, Henry H. Ong, Srushti Gangireddy, Anoop S. Chandrashekar, Wei-Qi Wei +6 more

Application of an Externally Developed Algorithm to Identify Research Cases and Controls from EHR Data: Trials and Triumphs

Applied Clinical Informatics(2025)10.1055/a-2524-5216

N/A

0DataRank · unranked

1 citations

Simone Herzberg, Henry H. Ong, Hsin-Liu Kao, Christoph U. Lehmann, Srushti Gangireddy +3 more

A Large-Scale Genome-wide Association Study of Blood Pressure Accounting for Gene-Depressive Symptomatology Interactions in 564,680 Individuals from Diverse Populations

Research Square(2025)10.21203/rs.3.rs-6025759/v1

N/A

0DataRank · unranked

0 citations

Clint L. Miller, Amy R. Bentley, Michael R. Brown, Pavithra Nagarajan, Raymond Noordam +95 more