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

Yevgeniy Vorobeychik

Washington University in St. Louis

ORCID: 0000-0003-2471-5345
Computer ScienceDecision SciencesEngineering

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 4%percentile
0.745Author 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.

Managing re-identification risks while providing access to the All of Us research program

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad021
Top 31%
0.641DataRank
Top 31%14 citations

Melissa Basford, Robert J. Carroll, Ellen Wright Clayton, Paul A. Harris, Murat Kantacioglu +6 more

Papers

Driven by 14 papers — median percentile 46. Top paper: “Sociotechnical safeguards for genomic data privacy”.

Sociotechnical safeguards for genomic data privacy

Nature Reviews Genetics(2022)10.1038/s41576-022-00455-y
N/A
0.739DataRank · unranked
137 citations

James W. Hazel, Ellen Wright Clayton, Yevgeniy Vorobeychik, Murat Kantarcıoğlu, Bradley Malin +1 more

Managing re-identification risks while providing access to the All of Us research program

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad021
Top 31%
0.641DataRank
Top 31%14 citations

Melissa Basford, Robert J. Carroll, Ellen Wright Clayton, Paul A. Harris, Murat Kantacioglu +6 more

Enabling tradeoffs in privacy and utility in genomic data Beacons and summary statistics

Genome Research(2023)10.1101/gr.277674.123
N/A
0.392DataRank · unranked
6 citations

Zhiyu Wan, Bradley Malin, Yevgeniy Vorobeychik, Rajagopal Venkatesaramani

Computational strategic recruitment for representation and coverage studied in the All of Us Research Program

npj Digital Medicine(2025)10.1038/s41746-025-01804-x
Top 78%
0.104DataRank
Top 78%1 citations

Qingxia Chen, Ellen Wright Clayton, Murat Kantarcıoğlu, Lina Sulieman, Yevgeniy Vorobeychik +2 more

A game theoretic approach to balance privacy risks and familial benefits

Scientific Reports(2023)10.1038/s41598-023-33177-0
N/A
0DataRank · unranked
4 citations

Ellen Wright Clayton, Murat Kantarcıoğlu, Yevgeniy Vorobeychik, Myrna Wooders, Zhiyu Wan +3 more

OUP accepted manuscript

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa327
N/A
0DataRank · unranked
20 citations

Yongtai Liu, Zhiyu Wan, Yevgeniy Vorobeychik, Murat Kantacioglu, Steve Nyemba +3 more

Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics

arXiv (Cornell University)(2023)10.48550/arxiv.2302.01763
N/A
0DataRank · unranked
1 citations

Zhiyu Wan, Bradley Malin, Yevgeniy Vorobeychik, Rajagopal Venkatesaramani

Not the Models You Are Looking For: Traditional ML Outperforms LLMs in Clinical Prediction Tasks

medRxiv(2024)10.1101/2024.12.03.24318400
N/A
0DataRank · unranked
5 citations

Chao Yan, Zhuohang Li, Xinmeng Zhang, Benjamin Collins, You Chen +5 more

Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets

PubMed(2024)10.48550/arxiv.2408.01375
N/A
0DataRank · unranked
1 citations

Andrew Estornell, Ellen Wright Clayton, Chien-Ju Ho, Russell L. Rothman, Yevgeniy Vorobeychik +2 more

Large language models are less effective at clinical prediction tasks than locally trained machine learning models

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf038
N/A
0DataRank · unranked
38 citations

Chao Yan, Zhuohang Li, Xinmeng Zhang, Benjamin Collins, You Chen +5 more

Risk, trust, and altruism in genetic data sharing

Journal of Public Economic Theory(2023)10.1111/jpet.12678
N/A
0DataRank · unranked
2 citations

Myrna Wooders, Bradley Malin, Yevgeniy Vorobeychik, Zeeshan Samad

Implicit Incentives Among Reddit Users to Prioritize Attention Over Privacy and Reveal Their Faces When Discussing Direct-to-Consumer Genetic Test Results: Topic and Attention Analysis

JMIR Infodemiology(2022)10.2196/35702
N/A
0DataRank · unranked
3 citations

Zhijun Yin, Zhiyu Wan, Chao Yan, Weiyi Xia, Congning Ni +5 more

When to Share Your Genome to an Online Community: A Game Theoretic Approach to Balance Privacy Risks and Familial Benefits

Research Square(2022)10.21203/rs.3.rs-1784480/v1
N/A
0DataRank · unranked
0 citations

Ellen Wright Clayton, Murat Kantarcıoğlu, Yevgeniy Vorobeychik, Myrna Wooders, Zhiyu Wan +3 more

Defending Against Membership Inference Attacks on Beacon Services

ACM Transactions on Privacy and Security(2023)10.1145/3603627
N/A
0DataRank · unranked
9 citations

Zhiyu Wan, Bradley Malin, Yevgeniy Vorobeychik, Rajagopal Venkatesaramani