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

Michael Elgart

Sheba Medical Center

ORCID: 0000-0001-8608-4505
Biochemistry, 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 8 papers. Top paper: Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations.

108 citations

Genevieve Lyons, Santiago Romero‐Brufau, Nuzulul Kurniansyah, Jennifer A. Brody, Xiuqing Guo +17 more

38 citations

Michael Elgart, Nuzulul Kurniansyah, Brian Spitzer, Heming Wang, Doyoon Kim +9 more

32 citations

Michael Elgart, Einat Granot‐Hershkovitz, Heming Wang, Wassim Tarraf, Alberto R. Ramos +14 more

7 citations

Benjamin Shea, Michael Elgart, Nuzulul Kurniansyah, Genevieve Lyons, Alanna C. Morrison +32 more

3 citations

Genevieve Lyons, Santiago Romero‐Brufau, Nuzulul Kurniansyah, Jennifer A. Brody, Xiuqing Guo +17 more

6 citations

Ying Zhang, Yuan Zhang, Bing Yu, Youngmee Kim, Phyllis C. Zee +9 more

0 citations

Benjamin Shea, Michael Elgart, Nuzulul Kurniansyah, Genevieve Lyons, Alanna C. Morrison +32 more

0 citations

Yana Hrytsenko, Michael Elgart, Usman A. Tahir, Zsu‐Zsu Chen, James G. Wilson +3 more