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

Gabriel Rosenfeld

National Institute of Allergy and Infectious Diseases

ORCID: 0000-0002-9858-634X
MedicineBiochemistry, Genetics and Molecular BiologyImmunology and Microbiology

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
0.939Author 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.

Radiologist observations of computed tomography (CT) images predict treatment outcome in TB Portals, a real-world database of tuberculosis (TB) cases

PLoS ONE(2021)10.1371/journal.pone.0247906
Top 24%
0.835DataRank
Top 24%14 citations

Andrei Gabrielian, Qinlu Wang, Jingwen Gu, Darrell E. Hurt, Alyssa Long +2 more

Papers

Driven by 5 papers — median percentile 49. Top paper: “Radiologist observations of computed tomography (CT) images predict treatment outcome in TB Portals, a real-world database of tuberculosis (TB) cases”.

Radiologist observations of computed tomography (CT) images predict treatment outcome in TB Portals, a real-world database of tuberculosis (TB) cases

PLoS ONE(2021)10.1371/journal.pone.0247906
Top 24%
0.835DataRank
Top 24%14 citations

Andrei Gabrielian, Qinlu Wang, Jingwen Gu, Darrell E. Hurt, Alyssa Long +2 more

Analysis of a Large Patient-Level Dataset to Predict Outcome of Treatment for Drug-Resistant Tuberculosis

medRxiv(2022)10.1101/2022.09.14.22279738
Top 78%
0.104DataRank
Top 78%1 citations

Jingwen Gu, Andrei Gabrielian, Gabriel Rosenfeld, Mariam Quiñones, Darrell E. Hurt +2 more

Current challenges in microbiome metadata collection

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.05.442781
N/A
0DataRank · unranked
5 citations

Angelina Angelova, Chris Shin, Mariam Quiñones, Darrell E. Hurt, Gabriel Rosenfeld

Predictive capabilities of baseline radiological findings for early and late disease outcomes within sensitive and multi-drug resistant tuberculosis cases

European Journal of Radiology Open(2023)10.1016/j.ejro.2023.100518
N/A
0DataRank · unranked
3 citations

Andrei Gabrielian, Darrell E. Hurt, Alex Rosenthal, Gabriel Rosenfeld

Persistent immune dysregulation and metabolic alterations following SARS-CoV-2 infection

medRxiv(2025)10.1101/2025.04.16.25325949
N/A
0DataRank · unranked
12 citations

Katherine Bricker-Holt, Joseph M. Rocco, Adam Rupert, Frank X. Donovan, Yevgeniya Abramzon +15 more