James M. Loy

Also affiliated with The University of Texas at Austin

Materials ScienceBiochemistry, Genetics and Molecular BiologyMathematicsEngineering

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 2 papers. Top paper: “Learning the local landscape of protein structures with convolutional neural networks”.

Learning the local landscape of protein structures with convolutional neural networks

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.19.456994

N/A

0DataRank · unranked

0 citations

Daniel J. Diaz, James M. Loy, Andrew D. Ellington, Claus O. Wilke, Anastasiya V. Kulikova

Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme

Nature Communications(2024)10.1038/s41467-024-46356-y

N/A

0DataRank · unranked

50 citations

Daniel J. Diaz, Wantae Kim, Daniel J. Acosta, Tyler L. Dangerfield, Mason W. Schechter +8 more