Fátima A. Dávila-Hernández

Biochemistry, Genetics and Molecular BiologyComputer ScienceEngineering

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: “How well do contextual protein encodings learn structure, function, and evolutionary context?”.

How well do contextual protein encodings learn structure, function, and evolutionary context?

Cell Systems(2025)10.1016/j.cels.2025.101201

N/A

0DataRank · unranked

0 citations

Fátima A. Dávila-Hernández, Jeffrey A. Ruffolo, Jeffrey J. Gray, Sai Pooja Mahajan

Docking With Rosetta and Deep Learning Approaches in CAPRI Rounds 47–55

Proteins Structure Function and Bioinformatics(2025)10.1002/prot.70016

N/A

0DataRank · unranked

0 citations

Lee‐Shin Chu, Samuel W. Canner, Rituparna Samanta, Rahel Frick, Fátima A. Dávila-Hernández +4 more