Marwin H. S. Segler

Also affiliated with Microsoft Research (United Kingdom)

Materials ScienceComputer ScienceBiochemistry, Genetics and Molecular BiologyChemistry

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: “Opportunities and obstacles for deep learning in biology and medicine”.

Opportunities and obstacles for deep learning in biology and medicine

bioRxiv (Cold Spring Harbor Laboratory)(2017)10.1101/142760

N/A

11.2DataRank · unranked

310 citations

Daniel S. Himmelstein, Brett K. Beaulieu‐Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way +31 more

Opportunities and obstacles for deep learning in biology and medicine

Journal of The Royal Society Interface(2018)10.1098/rsif.2017.0387

N/A

1.2DataRank · unranked

2203 citations

Daniel S. Himmelstein, Brett K. Beaulieu‐Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way +31 more

Artificial intelligence for natural product drug discovery

Nature Reviews Drug Discovery(2023)10.1038/s41573-023-00774-7

N/A

0DataRank · unranked

407 citations

Katherine Duncan, Somayah S. Elsayed, Neha Garg, Justin J. J. van der Hooft, Nathaniel I. Martin +53 more