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

Eun Kyung Choe

Seoul National University Hospital

ORCID: 0000-0002-7222-1772

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: “NETMAGE: A human disease phenotype map generator for the network-based visualization of phenome-wide association study results”.

NETMAGE: A human disease phenotype map generator for the network-based visualization of phenome-wide association study results

GigaScience(2022)10.1093/gigascience/giac002

N/A

0DataRank · unranked

10 citations

Manu Shivakumar, Sang‐Hyuk Jung, Yonghyun Nam, Lisa Bang, Anurag Verma +4 more

Genome-wide polygenic risk scores for hypertensive disease during pregnancy can also predict the risk for long-term cardiovascular disease

American Journal of Obstetrics and Gynecology(2023)10.1016/j.ajog.2023.03.013

N/A

0DataRank · unranked

9 citations

Manu Shivakumar, Brenda Xiao, Sang‐Hyuk Jung, Yonghyun Nam, Jae‐Seung Yun +7 more

Deep learning imaging phenotype can classify metabolic syndrome and is predictive of cardiometabolic disorders

Journal of Translational Medicine(2024)10.1186/s12967-024-05163-1

N/A

0DataRank · unranked

6 citations

Matthew E. Lee, Manu Shivakumar, Eun Kyung Choe, Dokyoon Kim, Jacob S. Leiby