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

Jeffrey T. Leek

BioScience Laboratories (United States)

ORCID: 0000-0002-2873-2671
Biochemistry, 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
1.8Author 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.

Recounting the FANTOM CAGE-Associated Transcriptome

Genome Research(2020)10.1101/gr.254656.119
Top 22%
0.928DataRank
Top 22%33 citations

Diego F. Sánchez, Leonardo Collado‐Torres, Christopher Wilks, Tejasvi Matam, Wikum Dinalankara +19 more

Papers

Driven by 19 papers — median percentile 65. Top paper: “Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space”.

Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space

Cell Genomics(2022)10.1016/j.xgen.2021.100085
N/A
3.9DataRank · unranked
132 citations

Anthony Philippakis, Enis Afgan, Eric Banks, Vincent J. Carey, Robert J. Carroll +95 more

Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown

Nature Protocols(2016)10.1038/nprot.2016.095
N/A
1.3DataRank · unranked
7503 citations

Daehwan Kim, Jeffrey T. Leek, Steven L. Salzberg, Reenal Pattni, Mihaela Pertea

Transparency and reproducibility in artificial intelligence

Nature(2020)10.1038/s41586-020-2766-y
N/A
0.929DataRank · unranked
487 citations

George Alexandru Adam, Ahmed Hosny, Farnoosh Khodakarami, Massive Analysis Quality Control (MAQC) Society Board of Directors, Matthias Fischer +26 more

Recounting the FANTOM CAGE-Associated Transcriptome

Genome Research(2020)10.1101/gr.254656.119
Top 22%
0.928DataRank
Top 22%33 citations

Diego F. Sánchez, Leonardo Collado‐Torres, Christopher Wilks, Tejasvi Matam, Wikum Dinalankara +19 more

The evolution of computational research in a data-centric world

Cell(2024)10.1016/j.cell.2024.07.045
N/A
0.563DataRank · unranked
15 citations

Karishma Chhugani, Tejasvene Ramesh, Matteo Pellegrini, Sagiv Shifman, Malak S. Abedalthagafi +18 more

Gene and protein expression in human megakaryocytes derived from induced pluripotent stem cells

Journal of Thrombosis and Haemostasis(2021)10.1111/jth.15334
Top 35%
0.552DataRank
Top 35%11 citations

Margaret A. Taub, Rasika A. Mathias, Lisa R. Yanek, Kanika Kanchan, Vidya Venkatraman +16 more

Genotype prediction of 336,463 samples from public expression data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.21.562237
Top 53%
0.318DataRank
Top 53%5 citations

Christopher Lo, Siruo Wang, Jeffrey T. Leek, Kasper D. Hansen, Afrooz Razi

Some models are useful, but for how long?: A decision theoretic approach to choosing when to refit large-scale prediction models

arXiv (Cornell University)(2024)10.48550/arxiv.2405.13926
N/A
0DataRank · unranked
0 citations

Stephen Salerno, Jeffrey T. Leek, Tyler H. McCormick, Kentaro Hoffman

Addressing 6 challenges in generative AI for digital health: A scoping review

UNC Libraries(2024)10.17615/ktkm-2151
N/A
0DataRank · unranked
0 citations

Monika W. Perez, Nicholas A. Sinnott-Armstrong, Tara Templin, Jeffrey T. Leek, Sean Sylvia

ipd: An R Package for Conducting Inference on Predicted Data

arXiv (Cornell University)(2024)10.48550/arxiv.2410.09665
N/A
0DataRank · unranked
0 citations

Jiacheng Miao, Awan Afiaz, Kentaro Hoffman, Anna Neufeld, Qiongshi Lu +3 more

ipd: an R package for conducting inference on predicted data

Bioinformatics(2025)10.1093/bioinformatics/btaf055
N/A
0DataRank · unranked
0 citations

Jiacheng Miao, Awan Afiaz, Kentaro Hoffman, Anna Neufeld, Qiongshi Lu +3 more

Generative genomics accurately predicts future experimental results

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.08.674753
N/A
0DataRank · unranked
0 citations

Alice M. Walsh, Vaishali Marar, Kayla A Johnson, Max Highsmith, Alexander R. Abbas +12 more

Insights into the Datasets, Tools, and Training Needs of the AnVIL Community: 2024

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.11.14.688517
N/A
0DataRank · unranked
0 citations

Katherine E.L. Cox, Kai Yin Ho, Elizabeth Humphries, Natalie Kucher, Jeffrey T. Leek +5 more

Functional annotation of human long noncoding RNAs via molecular phenotyping

Genome Research(2020)10.1101/gr.254219.119
N/A
0DataRank · unranked
199 citations

Chi Wai Yip, Saumya Agrawal, Jen-Chien Chang, Yari Ciani, Ivan V. Kulakovskiy +95 more

Post-prediction inference

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.21.914002
N/A
0DataRank · unranked
6 citations

Tyler H. McCormick, Jeffrey T. Leek, Siruo Wang

Evaluation of software impact designed for biomedical research: Are we measuring what's meaningful?

arXiv (Cornell University)(2023)10.48550/arxiv.2306.03255
N/A
0DataRank · unranked
2 citations

Andrei A. Ivanov, John Chamberlin, David A. Hanauer, Candace L. Savonen, Mary J. Goldman +22 more

Addressing 6 challenges in generative AI for digital health: A scoping review

PLOS Digital Health(2024)10.1371/journal.pdig.0000503
N/A
0DataRank · unranked
96 citations

Monika W. Perez, Sean Sylvia, Jeffrey T. Leek, Nicholas A. Sinnott-Armstrong, Tara Templin

Best practices to evaluate the impact of biomedical research software—metric collection beyond citations

Bioinformatics(2024)10.1093/bioinformatics/btae469
N/A
0DataRank · unranked
6 citations

Andrei A. Ivanov, John Chamberlin, David A. Hanauer, Candace L. Savonen, M Goldman +22 more

Large-scale genotype prediction from RNA sequence data necessitates a new ethical and policy framework

Nature Genetics(2024)10.1038/s41588-024-01825-4
N/A
0DataRank · unranked
1 citations

Jeffrey T. Leek, Kasper D. Hansen, Afrooz Razi, Amy L. McGuire, Mary A. Majumder