Jianhui Gao

Biochemistry, Genetics and Molecular BiologySocial SciencesMathematicsEnvironmental ScienceMedicine

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: “Leveraging a machine learning derived surrogate phenotype to improve power for genome-wide association studies of partially missing phenotypes in population biobanks”.

Leveraging a machine learning derived surrogate phenotype to improve power for genome-wide association studies of partially missing phenotypes in population biobanks

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.12.520180

N/A

0DataRank · unranked

4 citations

Jianhui Gao, Xihong Lin, Jessica Gronsbell, Zachary R. McCaw

Synthetic surrogates improve power for genome-wide association studies of partially missing phenotypes in population biobanks

Nature Genetics(2024)10.1038/s41588-024-01793-9

N/A

0DataRank · unranked

16 citations

Jianhui Gao, Xihong Lin, Jessica Gronsbell, Zachary R. McCaw