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

Tian Gu

City University of New York

ORCID: 0000-0002-0856-8843

Also affiliated with Columbia Medical Practice

MedicineBiochemistry, Genetics and Molecular BiologyMathematics

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 3%percentile
1.6Author DataRank

Indexed papers

2in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine

Journal of Clinical Medicine(2021)10.3390/jcm10071351
Top 20%
1.0DataRank
Top 20%30 citations

Tian Gu, Jasmine A. Mack, Swaraaj Prabhu Sankar, Snehal Patil, Thomas S. Valley +7 more

Papers

Driven by 11 papers — median percentile 73. Top paper: “A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine”.

A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine

Journal of Clinical Medicine(2021)10.3390/jcm10071351
Top 20%
1.0DataRank
Top 20%30 citations

Tian Gu, Jasmine A. Mack, Swaraaj Prabhu Sankar, Snehal Patil, Thomas S. Valley +7 more

Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System

JAMA Network Open(2020)10.1001/jamanetworkopen.2020.25197
N/A
0.826DataRank · unranked
246 citations

Jasmine A. Mack, Maxwell Salvatore, Swaraaj Prabhu Sankar, Thomas S. Valley, Karandeep Singh +6 more

A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan Medicine

medRxiv(2020)10.1101/2020.06.29.20141564
Top 34%
0.581DataRank
Top 34%4 citations

Tian Gu, Jasmine A. Mack, Swaraaj Prabhu Sankar, Snehal Patil, Thomas S. Valley +7 more

COMMUTE: Communication-efficient transfer learning for multi-site risk prediction

Journal of Biomedical Informatics(2022)10.1016/j.jbi.2022.104243
N/A
0DataRank · unranked
23 citations

Phil H. Lee, Rui Duan, Tian Gu

Estimating COVID-19 Vaccination and Booster Effectiveness Using Electronic Health Records From an Academic Medical Center in Michigan

AJPM Focus(2022)10.1016/j.focus.2022.100015
N/A
0DataRank · unranked
7 citations

Tian Gu, Abram L. Wagner, Bhramar Mukherjee, Lars G. Fritsche, Emily Roberts

A Synthetic Data Integration Framework to Leverage External Summary-Level Information from Heterogeneous Populations

Biometrics(2023)10.1111/biom.13852
N/A
0DataRank · unranked
11 citations

Jeremy Taylor, Bhramar Mukherjee, Tian Gu

Robust angle-based transfer learning in high dimensions

Journal of the Royal Statistical Society Series B (Statistical Methodology)(2024)10.1093/jrsssb/qkae111
N/A
0DataRank · unranked
12 citations

Yi Han, Rui Duan, Tian Gu

On the Connections Among Three Transfer Learning Paradigms

Stat(2025)10.1002/sta4.70100
N/A
0DataRank · unranked
2 citations

Sijia Li, Rui Duan, Tian Gu

TransferTWAS: A transfer learning framework for cross-tissue transcriptome-wide association study

The American Journal of Human Genetics(2025)10.1016/j.ajhg.2025.06.006
N/A
0DataRank · unranked
0 citations

Han Wang, Tian Gu, Seongho Wu, Dajiang J. Liu, Pak C. Sham +2 more

Patterns of repeated diagnostic testing for COVID‐19 in relation to patient characteristics and outcomes

Journal of Internal Medicine(2020)10.1111/joim.13213
N/A
0DataRank · unranked
19 citations

Zhangchen Zhao, Swaraaj Prabhu Sankar, Maxwell Salvatore, Tian Gu, Lars G. Fritsche +5 more

A meta-inference framework to integrate multiple external models into a current study

Biostatistics(2021)10.1093/biostatistics/kxab017
N/A
0DataRank · unranked
12 citations

Jeremy M G Taylor, Bhramar Mukherjee, Tian Gu