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

Suraj Upadhya

Broad Institute

ORCID: 0000-0002-8242-3052

MedicineBiochemistry, Genetics and Molecular Biology

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 4 papers. Top paper: “Polygenic Risk Score Effectively Predicts Depression Onset in Alzheimer’s Disease Based on Major Depressive Disorder Risk Variants”.

Polygenic Risk Score Effectively Predicts Depression Onset in Alzheimer’s Disease Based on Major Depressive Disorder Risk Variants

Frontiers in Neuroscience(2022)10.3389/fnins.2022.827447

N/A

0.564DataRank · unranked

16 citations

Hongliang Liu, Sheng Luo, Michael W. Lutz, Ornit Chiba‐Falek, Suraj Upadhya

Differential Gene Expression and DNA Methylation in the Risk of Depression in LOAD Patients

Biomolecules(2022)10.3390/biom12111679

N/A

0.312DataRank · unranked

7 citations

Daniel Oliveros Gingerich, Michael W. Lutz, Ornit Chiba‐Falek, Suraj Upadhya

Polygenic Risk Score Effectively Predicts Risk of Depression Onset in Alzheimer’s Disease

Research Square(2021)10.21203/rs.3.rs-845772/v1

N/A

0DataRank · unranked

0 citations

Hongliang Liu, Sheng Luo, Michael W. Lutz, Ornit Chiba‐Falek, Suraj Upadhya

Single-cell analyses reveal increased gene expression variability in human neurodevelopmental conditions

The American Journal of Human Genetics(2025)10.1016/j.ajhg.2025.02.011

N/A

0DataRank · unranked

4 citations

Jenny A. Klein, Anna Nathanson, Kristina M. Holton, Lindy E. Barrett, Suraj Upadhya