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

Chris Lunt

National Institutes of Health

ORCID: 0000-0002-8504-0735

Also affiliated with National Institute of Nursing Research

MedicineComputer ScienceEnvironmental ScienceBiochemistry, Genetics and Molecular BiologyDecision Sciences

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 2%percentile
2.3Author DataRank

Indexed papers

3in 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 3 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.

The All of Us Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research

Annual Review of Biomedical Data Science(2023)10.1146/annurev-biodatasci-122120-104825
Top 14%
1.5DataRank
Top 14%60 citations

Melissa Basford, Robert J. Carroll, Moira Rose Dillon, Heather Fullen, Jesse Leung +30 more

Papers

Driven by 11 papers — median percentile 64. Top paper: “The All of Us Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research”.

The All of Us Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research

Annual Review of Biomedical Data Science(2023)10.1146/annurev-biodatasci-122120-104825
Top 14%
1.5DataRank
Top 14%60 citations

Melissa Basford, Robert J. Carroll, Moira Rose Dillon, Heather Fullen, Jesse Leung +30 more

Demonstrating paths for unlocking the value of cloud genomics through cross cohort analysis

Nature Communications(2023)10.1038/s41467-023-41185-x
N/A
1.0DataRank · unranked
22 citations

Margaret Sunitha Selvaraj, Henry Robert Condon, Kelsey Mayo, Sara Haidermota, Melissa Basford +12 more

Research for all: building a diverse researcher community for the All of Us Research Program

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae270
Top 36%
0.545DataRank
Top 36%10 citations

Minnkyong Lee, Sydney McMaster, Jessica M. Lee, Faith Blackburne-Proctor, Romuladus E. Azuine +41 more

Empowering the biomedical research community: Innovative SAS deployment on the All of Us Researcher Workbench

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae216
Top 63%
0.217DataRank
Top 63%2 citations

Cathy Shyr, Moira Rose Dillon, Zhongjie Liu, Jennifer Peterson, Chris St Jeor +24 more

All of Us Research Program year in review: 2023–2024

The American Journal of Human Genetics(2024)10.1016/j.ajhg.2024.07.023
N/A
0DataRank · unranked
9 citations

Margaret M Farrell, Erika J Faust, Christopher Gallagher, Grant Jones, Erica Landis +10 more

A Model for Rapid Innovation for Engagement, Enrollment, and Data and Sample Collection in a Diverse Cohort Study: Insights from All of Us Participant Labs

Mayo Clinic Proceedings Digital Health(2025)10.1016/j.mcpdig.2025.100227
N/A
0DataRank · unranked
1 citations

Jessica Chen, Romina Foster-Bonds, Andrea Goosen, Gayle Valensky, Ethan Dinh-Luong +9 more

The All of Us Research Program: data quality, utility, and diversity

medRxiv(2020)10.1101/2020.05.29.20116905
N/A
0DataRank · unranked
15 citations

Lina Sulieman, David J. Schlueter, Alese E. Halvorson, Jun Qian, Francis Ratsimbazafy +42 more

Multi-scale Data Improves Performance of Machine Learning Model for Long COVID Prediction

Research Square(2025)10.21203/rs.3.rs-7234976/v1
N/A
0DataRank · unranked
0 citations

Christopher Guardo, Xinmeng Zhang, Srushti Gandireddy, Chao Yan, V. Eric Kerchberger +18 more

The All of Us Research Program: Data quality, utility, and diversity

Patterns(2022)10.1016/j.patter.2022.100570
N/A
0DataRank · unranked
337 citations

Lina Sulieman, David J. Schlueter, Alese E. Halvorson, Jun Qian, Francis Ratsimbazafy +81 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

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

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