Enrique Mondragon‐Estrada

Also affiliated with Boston Children's Museum

Biochemistry, Genetics and Molecular BiologyMedicineComputer 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 2 papers. Top paper: “Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact”.

Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact

iScience(2024)10.1016/j.isci.2024.111707

N/A

0.165DataRank · unranked

2 citations

Jane W. Newburger, Steven R. DePalma, Martina Brueckner, John D. Cleveland, Wendy K. Chung +16 more

Protocol to analyze deep-learning-predicted functional scores for noncoding de novo variants and their correlation with complex brain traits

STAR Protocols(2025)10.1016/j.xpro.2025.103738

N/A

0DataRank · unranked

1 citations

Sarah U. Morton, Enrique Mondragon‐Estrada