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

Braden T Griebel

Center for Infectious Disease Research

ORCID: 0009-0003-3617-5734

Also affiliated with Infectious Disease Research Institute, University of Washington, University of Washington Applied Physics Laboratory, Seattle University

MedicineBiochemistry, Genetics and Molecular BiologyImmunology and MicrobiologyComputer Science

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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Predicting fitness in Mycobacterium tuberculosis with transcriptional regulatory network-informed interpretable machine learning”.

Predicting fitness in Mycobacterium tuberculosis with transcriptional regulatory network-informed interpretable machine learning

Frontiers in Tuberculosis(2025)10.3389/ftubr.2025.1500899

N/A

0.295DataRank · unranked

5 citations

Edson Petry, Oliver Gu, Braden T Griebel, Tige R. Rustad, David R. Sherman +3 more

Mycobacteria that cause tuberculosis have retained ancestrally acquired genes for the biosynthesis of chemically diverse terpene nucleosides

PLoS Biology(2024)10.1371/journal.pbio.3002813

N/A

0DataRank · unranked

3 citations

Sahadevan Raman, Alexandrea K. Ramnarine, Vivek Mishra, Annie D. Huang, Sandrine Dudoit +13 more

Predicting bacterial fitness in Mycobacterium tuberculosis with transcriptional regulatory network-informed interpretable machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.23.614645

N/A

0DataRank · unranked

0 citations

Edson Petry, Oliver Gu, Braden T Griebel, Tige R. Rustad, David R. Sherman +3 more