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

Scott A. Malec

University of New Mexico

ORCID: 0000-0003-1696-1781
Biochemistry, Genetics and Molecular BiologyPharmacology, Toxicology and PharmaceuticsComputer ScienceMathematics

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
1.5Author 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.

An open source knowledge graph ecosystem for the life sciences

Scientific Data(2024)10.1038/s41597-024-03171-w
Top 15%
1.4DataRank
Top 15%63 citations

Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya B. Taneja, Jordan M Wyrwa +27 more

Papers

Driven by 7 papers — median percentile 54. Top paper: “An open source knowledge graph ecosystem for the life sciences”.

An open source knowledge graph ecosystem for the life sciences

Scientific Data(2024)10.1038/s41597-024-03171-w
Top 15%
1.4DataRank
Top 15%63 citations

Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya B. Taneja, Jordan M Wyrwa +27 more

An Open-Source Knowledge Graph Ecosystem for the Life Sciences

Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)(2023)10.48550/arxiv.2307.05727
Top 78%
0.104DataRank
Top 78%1 citations

Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya B. Taneja, Jordan M Wyrwa +27 more

Using computable knowledge mined from the literature to elucidate confounders for EHR-based pharmacovigilance

medRxiv(2020)10.1101/2020.07.08.20113035
N/A
0DataRank · unranked
1 citations

Elmer V. Bernstam, Peng Wei, Richard D. Boyce, Trevor Cohen, Scott A. Malec

Unsupervised Latent Pattern Analysis for Estimating Type 2 Diabetes Risk in Undiagnosed Populations

(2025)10.1145/3765612.3767225
N/A
0DataRank · unranked
2 citations

Vincent T. Metzger, Scott A. Malec, Praveen Kumar

Predicting Alzheimer’s Disease Diagnosis, a Decade or more Years before Onset using the Electronic Health Record and Random Forest Machine Learning Models

medRxiv(2025)10.1101/2025.11.04.25338396
N/A
0DataRank · unranked
0 citations

Richard D. Boyce, Scott A. Malec, Steven M. Albert, C. Elizabeth Shaaban, Arthur S. Levine +9 more

Detecting Opioid Use Disorder in Health Claims Data With Positive Unlabeled Learning

IEEE Journal of Biomedical and Health Informatics(2024)10.1109/jbhi.2024.3515805
N/A
0DataRank · unranked
6 citations

Fariha Moomtaheen, Scott A. Malec, Jeremy J. Yang, Cristian Bologa, Kristan A. Schneider +9 more

Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: a use case studying depression as a risk factor for Alzheimer's disease

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.18.500549
N/A
0DataRank · unranked
2 citations

Sanya B. Taneja, Steven M. Albert, C. Elizabeth Shaaban, Helmet T. Karim, Art S Levine +4 more