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

Jongbum Jeon

Seoul National University

ORCID: 0000-0003-3533-1363

Also affiliated with Korea Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology

Biochemistry, Genetics and Molecular BiologyAgricultural and Biological Sciences

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 4%percentile
0.828Author DataRank

Indexed papers

5in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 5 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Korea4K: whole genome sequences of 4,157 Koreans with 107 phenotypes derived from extensive health check-ups

GigaScience(2024)10.1093/gigascience/giae014
Top 32%
0.620DataRank
Top 32%18 citations

Hansol Choi, Yeonsu Jeon, Whan-Hyuk Choi, Hyunjoo Choi, Kyungwhan An +25 more

Papers

Driven by 7 papers — median percentile 42. Top paper: “Korea4K: whole genome sequences of 4,157 Koreans with 107 phenotypes derived from extensive health check-ups”.

Korea4K: whole genome sequences of 4,157 Koreans with 107 phenotypes derived from extensive health check-ups

GigaScience(2024)10.1093/gigascience/giae014
Top 32%
0.620DataRank
Top 32%18 citations

Hansol Choi, Yeonsu Jeon, Whan-Hyuk Choi, Hyunjoo Choi, Kyungwhan An +25 more

Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research

Cell Reports Medicine(2023)10.1016/j.xcrm.2023.101350
N/A
0.546DataRank · unranked
37 citations

Tomiko Oskotsky, Alice Tang, Alennie Roldan, Verena Chung, Connie Ha +56 more

Introduction of the Korea BioData Station (K-BDS) for sharing biological data

Genomics & Informatics(2023)10.5808/gi.22073
Top 43%
0.434DataRank
Top 43%17 citations

Seungwoo Hwang, Pan-Gyu Kim, Gunwhan Ko, Kiwon Jang, Sangok Kim +11 more

KoNA: Korean Nucleotide Archive as A New Data Repository for Nucleotide Sequence Data

Genomics, Proteomics & Bioinformatics(2024)10.1093/gpbjnl/qzae017
Top 59%
0.269DataRank
Top 59%5 citations

Jae Ho Lee, Young Mi Sim, Wangho Song, Byung-Ha Yoon, Iksu Byeon +17 more

Korea4K: whole genome sequences of 4,157 Koreans with 107 phenotypes derived from extensive health check-ups

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.25.521908
Top 78%
0.104DataRank
Top 78%1 citations

Hansol Choi, Yeonsu Jeon, Whan-Hyuk Choi, Hyunjoo Choi, Kyungwhan An +24 more

10,239 whole genomes with multiomic and clinical health information as the Korean Multiomics Reference dataset

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.11.17.688763
Top 78%
0.104DataRank
Top 78%1 citations

Sungwon Jeon, Yoonsung Kwon, Yookyung Christy Choi, Changhan Yoon, Yeonsu Jeon +76 more

Nongenetic Determinants of Risk for Early-Onset Colorectal Cancer

UNC Libraries(2024)10.17615/7fyh-eh57
N/A
0DataRank · unranked
0 citations

Lori C. Sakoda, SB Gruber, Richard B. Hayes, R.S Sandler, Jenny Chang‐Claude +33 more