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

Terrence J Adam

University of Minnesota

ORCID: 0000-0002-8666-2587

Also affiliated with Shendi University

Biochemistry, Genetics and Molecular BiologyMedicineHealth Professions

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
1.4Author 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.

Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature

Journal of Biomedical Informatics(2022)10.1016/j.jbi.2022.104120
Top 25%
0.805DataRank
Top 25%22 citations

Jake Vasilakes, Anu Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu +5 more

Papers

Driven by 9 papers — median percentile 72. Top paper: “Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature”.

Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature

Journal of Biomedical Informatics(2022)10.1016/j.jbi.2022.104120
Top 25%
0.805DataRank
Top 25%22 citations

Jake Vasilakes, Anu Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu +5 more

Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa128
Top 31%
0.633DataRank
Top 31%11 citations

Anusha Bompelli, Jeffrey R. Bishop, Terrence J Adam, Olivier Bodenreider, Rui Zhang +1 more

Producing personalized statin treatment plans to optimize clinical outcomes using big data and machine learning

Journal of Biomedical Informatics(2022)10.1016/j.jbi.2022.104029
N/A
0DataRank · unranked
22 citations

Wang Jin, Pui Ying Yew, Tatiana Lenskaia, Matt Loth, Prajwal Mani Pradhan +7 more

App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy

JMIR Diabetes(2022)10.2196/38592
N/A
0DataRank · unranked
15 citations

Jean F. Wyman, Cynthia Peden‐McAlpine, Claire Burke Draucker, Titus Schleyer, Terrence J Adam +1 more

Assessing the use of prescription drugs and dietary supplements in obese respondents in the National Health and Nutrition Examination Survey

PLoS ONE(2022)10.1371/journal.pone.0269241
N/A
0DataRank · unranked
6 citations

Aiwen Xing, Julia L. Sheffler, Elizabeth Steidley, Terrence J Adam, Rui Zhang +2 more

Personalized statin treatment plan using counterfactual approach with multi-objective optimization over benefits and risks

Informatics in Medicine Unlocked(2023)10.1016/j.imu.2023.101362
N/A
0DataRank · unranked
1 citations

Pui Ying Yew, Matt Loth, Terrence J Adam, Julian Wolfson, Peter J. Tonellato +2 more

Associations Between Psychosocial Needs, Carbohydrate-Counting Behavior, and App Satisfaction: A Randomized Crossover App Trial on 92 Adults With Diabetes

CIN Computers Informatics Nursing(2023)10.1097/cin.0000000000001073
N/A
0DataRank · unranked
1 citations

Darren Ma, Julian Wolfson, Jean F. Wyman, Terrence J Adam, Helen Fu +1 more

Machine Learning for Risk Prediction of Recurrent AKI in Adult Patients After Hospital Discharge

Studies in health technology and informatics(2024)10.3233/shti230959
N/A
0DataRank · unranked
1 citations

Paul E. Drawz, György Simon, Terrence J Adam, Genevieve B. Melton, Jianqiu Zhang

Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model

medRxiv(2020)10.1101/2020.09.16.20196022
N/A
0DataRank · unranked
1 citations

Jianfu Li, Yiqi Xu, Nan Wang, Yanshan Wang, Terrence J Adam +3 more