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

Theodore Tsacogianis

Brigham and Women's Hospital

ORCID: 0009-0003-4529-5287

Also affiliated with Boston Scientific (United States)

Computer ScienceMedicineEconomics, Econometrics and FinanceMathematics

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 100%percentile
0Author 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.

Using real-world data to predict findings of an ongoing phase IV trial: glycemic control of semaglutide versus standard of care

BMJ Open Diabetes Research & Care(2025)10.1136/bmjdrc-2025-005180
Top 100%
0DataRank
Top 100%0 citations

Sebastian Schneeweiß, Elvira D’Andrea, Janick Weberpals, ELYSE C. DICESARE, Elisabetta Patorno +5 more

Papers

Driven by 7 papers — median percentile 0. Top paper: “Frailty and uptake of angiotensin receptor neprilysin inhibitor for heart failure with reduced ejection fraction”.

Frailty and uptake of angiotensin receptor neprilysin inhibitor for heart failure with reduced ejection fraction

Journal of the American Geriatrics Society(2023)10.1111/jgs.18481
N/A
0.449DataRank · unranked
19 citations

Joshua K Lin, Darae Ko, Susan Cheng, Elisabetta Patorno, Robert J. Glynn +3 more

Scalable Feature Engineering from Electronic Free Text Notes to Supplement Confounding Adjustment of Claims‐Based Pharmacoepidemiologic Studies

Clinical Pharmacology & Therapeutics(2022)10.1002/cpt.2826
N/A
0.339DataRank · unranked
7 citations

Joseph M. Plasek, Li Zhou, Lily G. Bessette, Sebastian Schneeweiß, Jeremy A. Rassen +3 more

Development and Validation of a Claims-Based Model to Predict Categories of Obesity

American Journal of Epidemiology(2023)10.1093/aje/kwad178
N/A
0.208DataRank · unranked
3 citations

Richard Wyss, Zhigang Lu, Lily G. Bessette, Cassandra York, Theodore Tsacogianis +2 more

A Novel Chronic Kidney Disease Phenotyping Algorithm Using Combined Electronic Health Record and Claims Data

Clinical Epidemiology(2023)10.2147/clep.s397020
N/A
0DataRank · unranked
6 citations

Julie M. Paik, Richard Wyss, Julianna M. Mastrorilli, Lily G. Bessette, Zhigang Lu +3 more

Natural language processing for scalable feature engineering and ultra-high-dimensional confounding adjustment in healthcare database studies

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104882
N/A
0DataRank · unranked
4 citations

Jie Yang, Sebastian Schneeweiß, Joseph M. Plasek, Li Zhou, Thomas Deramus +5 more

Natural language processing for scalable feature engineering and ultra-high-dimensional confounding adjustment in healthcare database studies

medRxiv(2025)10.1101/2025.01.30.25321403
N/A
0DataRank · unranked
1 citations

Jie Yang, Sebastian Schneeweiß, Joseph M. Plasek, Li Zhou, Thomas Deramus +5 more

Using real-world data to predict findings of an ongoing phase IV trial: glycemic control of semaglutide versus standard of care

BMJ Open Diabetes Research & Care(2025)10.1136/bmjdrc-2025-005180
Top 100%
0DataRank
Top 100%0 citations

Sebastian Schneeweiß, Elvira D’Andrea, Janick Weberpals, ELYSE C. DICESARE, Elisabetta Patorno +5 more