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

Rebecca I. Caldino Bohn

University of Pittsburgh

ORCID: 0009-0009-5584-8483

Biochemistry, Genetics and Molecular BiologyMedicine

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: “MOSES: a methylation-based gene association approach for unveiling environmentally regulated genes linked to a trait or disease”.

MOSES: a methylation-based gene association approach for unveiling environmentally regulated genes linked to a trait or disease

Clinical Epigenetics(2024)10.1186/s13148-024-01776-x

N/A

0.165DataRank · unranked

2 citations

Yidi Qin, Hyun Jung Park, Rebecca I. Caldino Bohn, Molin Yue, Zhongli Xu +4 more

Pathway information on methylation analysis using deep neural network (PROMINENT): An interpretable deep learning method with pathway prior for phenotype prediction using gene-level DNA methylation

Artificial Intelligence in Medicine(2025)10.1016/j.artmed.2025.103236

N/A

0.165DataRank · unranked

2 citations

Laizhi Zhang, Yidi Qin, Rebecca I. Caldino Bohn, Hyun Jung Park, Soyeon Kim

Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational data

Frontiers in Pediatrics(2023)10.3389/fped.2023.1035576

N/A

0DataRank · unranked

13 citations

Rebecca I. Caldino Bohn, Aditya Sriram, Kate F. Kernan, Joseph A. Carcillo, Soyeon Kim +2 more