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

Jaie Woodard

University of Michigan

ORCID: 0000-0001-5505-7803
Biochemistry, Genetics and Molecular BiologyMaterials ScienceMedicine

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
0.814Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

ADDRESS: A Database of Disease-associated Human Variants Incorporating Protein Structure and Folding Stabilities

Journal of Molecular Biology(2021)10.1016/j.jmb.2021.166840
Top 25%
0.814DataRank
Top 25%27 citations

Chengxin Zhang, Yang Zhang, Jaie Woodard

Papers

Driven by 7 papers — median percentile 75. Top paper: “Survey of variation in human transcription factors reveals prevalent DNA binding changes”.

Survey of variation in human transcription factors reveals prevalent DNA binding changes

Science(2016)10.1126/science.aad2257
N/A
4.7DataRank · unranked
153 citations

Anastasia Vedenko, Jesse V. Kurland, Julia M. Rogers, Stephen S. Gisselbrecht, Elizabeth J. Rossin +19 more

ADDRESS: A Database of Disease-associated Human Variants Incorporating Protein Structure and Folding Stabilities

Journal of Molecular Biology(2021)10.1016/j.jmb.2021.166840
Top 25%
0.814DataRank
Top 25%27 citations

Chengxin Zhang, Yang Zhang, Jaie Woodard

Protein structural features predict responsiveness to pharmacological chaperone treatment for three lysosomal storage disorders

PLoS Computational Biology(2021)10.1371/journal.pcbi.1009370
N/A
0DataRank · unranked
9 citations

Wei Zheng, Yang Zhang, Jaie Woodard

Rapid prediction of thermodynamically destabilizing tyrosine phosphorylations in cancers

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.26.614998
N/A
0DataRank · unranked
2 citations

Liu Zhengqing, Atena Malemir Chegini, Jian Tian, Rupa Bhowmick, Subramanium Pennathur +4 more

Thermodynamics and selection of the plasminogen activator inhibitor-1 latency transition

Journal of Biological Chemistry(2025)10.1016/j.jbc.2025.110896
N/A
0DataRank · unranked
1 citations

Matthew L. Holding, Jaie Woodard, David Siemieniak, David Ginsburg, Laura M. Haynes

Thermodynamics and selection of the plasminogen activator inhibitor-1 latency transition

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.06.03.655624
N/A
0DataRank · unranked
1 citations

Matthew L. Holding, Jaie Woodard, David Siemieniak, David Ginsburg, Laura M. Haynes

A structural machine learning approach for rapid prediction of thermodynamically destabilizing tyrosine phosphorylations

Cell Reports Methods(2025)10.1016/j.crmeth.2025.101169
N/A
0DataRank · unranked
0 citations

Liu Zhengqing, Atena Malemir Chegini, Jian Tian, Rupa Bhowmick, Subramaniam Pennathur +4 more