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

Egbert Castro

Yale University

ORCID: 0000-0001-7883-5241

Also affiliated with Translational Research Informatics Center (Japan), Computational Physics (United States)

Biochemistry, Genetics and Molecular BiologyComputer 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: “Neural Network Predicts Need for Red Blood Cell Transfusion for Patients with Acute Gastrointestinal Bleeding Admitted to the Intensive Care Unit”.

Neural Network Predicts Need for Red Blood Cell Transfusion for Patients with Acute Gastrointestinal Bleeding Admitted to the Intensive Care Unit

medRxiv(2020)10.1101/2020.05.19.20096743

N/A

0.484DataRank · unranked

6 citations

Egbert Castro, Jessie Huang, J. Kenneth Tay, Michael Simonov, Loren Laine +2 more

Uncovering the Folding Landscape of RNA Secondary Structure with Deep\n Graph Embeddings

arXiv (Cornell University)(2020)10.48550/arxiv.2006.06885

N/A

0DataRank · unranked

2 citations

Andrew Benz, Alexander Tong, Guy Wolf, Smita Krishnaswamy, Egbert Castro

Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit

Scientific Reports(2021)10.1038/s41598-021-88226-3

N/A

0DataRank · unranked

31 citations

Jessie Huang, Egbert Castro, J. Kenneth Tay, Michael Simonov, Loren Laine +3 more