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

Steven T. Rutherford

Rutherford + Chekene

ORCID: 0000-0002-4758-4248

Biochemistry, Genetics and Molecular Biology

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: “A high-throughput phenotypic screen combined with an ultra-large-scale deep learning-based virtual screening reveals novel scaffolds of antibacterial compounds”.

A high-throughput phenotypic screen combined with an ultra-large-scale deep learning-based virtual screening reveals novel scaffolds of antibacterial compounds

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.11.612340

N/A

0.324DataRank · unranked

5 citations

Steven T. Rutherford, Ziqing Lu, Kerry R. Buchholz, Nicholas J. Skelton, Kangway V. Chuang +16 more

Deep-learning-based virtual screening of antibacterial compounds

Nature Biotechnology(2025)10.1038/s41587-025-02814-6

N/A

0.300DataRank · unranked

4 citations

Steven T. Rutherford, Ziqing Lu, Kerry R. Buchholz, Nathaniel Diamant, Jan-Christian Hütter +16 more

Publisher Correction: Deep-learning-based virtual screening of antibacterial compounds

Nature Biotechnology(2025)10.1038/s41587-025-02941-0

N/A

0DataRank · unranked

0 citations

Steven T. Rutherford, Ziqing Lu, Kerry R. Buchholz, Nathaniel Diamant, Jan-Christian Hütter +16 more