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

Kun Ho Lee

Chosun University

ORCID: 0000-0003-4144-8162

Also affiliated with University of Michigan, Michigan United, Temple University Hospital, Saudi Aramco (Saudi Arabia), Korea Brain Research Institute, Chung-Ang University, Gwangju University

MedicineNeuroscienceBiochemistry, Genetics and Molecular BiologyPsychology

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 3%percentile
1.5Author DataRank

Indexed papers

2in 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 2 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.

The Aging Slopes of Brain Structures Vary by Ethnicity and Sex: Evidence From a Large Magnetic Resonance Imaging Dataset From a Single Scanner of Cognitively Healthy Elderly People in Korea

Frontiers in Aging Neuroscience(2020)10.3389/fnagi.2020.00233
Top 19%
1.1DataRank
Top 19%26 citations

Jang Jae Lee, Kyu Yeong Choi, Eun Hyun Seo, Il Han Choo, Hoowon Kim +7 more

Papers

Driven by 11 papers — median percentile 68. Top paper: “The Aging Slopes of Brain Structures Vary by Ethnicity and Sex: Evidence From a Large Magnetic Resonance Imaging Dataset From a Single Scanner of Cognitively Healthy Elderly People in Korea”.

The Aging Slopes of Brain Structures Vary by Ethnicity and Sex: Evidence From a Large Magnetic Resonance Imaging Dataset From a Single Scanner of Cognitively Healthy Elderly People in Korea

Frontiers in Aging Neuroscience(2020)10.3389/fnagi.2020.00233
Top 19%
1.1DataRank
Top 19%26 citations

Jang Jae Lee, Kyu Yeong Choi, Eun Hyun Seo, Il Han Choo, Hoowon Kim +7 more

Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease

Molecular Psychiatry(2023)10.1038/s41380-023-02089-w
N/A
0.672DataRank · unranked
87 citations

Caroline Warly Solsberg, Jonggeol Jeffrey Kim, Juliana Acosta‐Uribe, Mary B. Makarious, Zizheng Li +15 more

Plasma protein biomarker model for screening Alzheimer disease using multiple reaction monitoring-mass spectrometry

Scientific Reports(2022)10.1038/s41598-022-05384-8
N/A
0.510DataRank · unranked
29 citations

Jaenyeon Kim, Minsoo Son, Injoon Yeo, Kyu Yeong Choi, Byeong C. Kim +3 more

Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s Disease

medRxiv(2022)10.1101/2022.08.04.22278442
Top 46%
0.395DataRank
Top 46%10 citations

Caroline Warly Solsberg, Jonggeol Jeffrey Kim, Juliana Acosta‐Uribe, Mary B. Makarious, Zizheng Li +15 more

DeepParcellation: A novel deep learning method for robust brain magnetic resonance imaging parcellation in older East Asians

Frontiers in Aging Neuroscience(2022)10.3389/fnagi.2022.1027857
N/A
0DataRank · unranked
4 citations

Uk-Su Choi, Kyu Yeong Choi, Jang Jae Lee, Yul‐Wan Sung, Seiji Ogawa +5 more

DeepParcellation: a novel deep learning method for robust brain magnetic resonance imaging parcellation in older East Asians

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.06.487283
N/A
0DataRank · unranked
0 citations

Uk-Su Choi, Kyu Yeong Choi, Jang Jae Lee, Yul‐Wan Sung, Seiji Ogawa +5 more

Classification of Alzheimer’s Disease and Mild Cognitive Impairment Based on Cortical and Subcortical Features from MRI T1 Brain Images Utilizing Four Different Types of Datasets

Journal of Healthcare Engineering(2020)10.1155/2020/3743171
N/A
0DataRank · unranked
53 citations

Kun Ho Lee, Kyu Yeong Choi, Jang Jae Lee, Goo‐Rak Kwon, Yubraj Gupta +2 more

A multi-ancestry polygenic risk score for Alzheimer disease is associated with cognitive decline, hippocampal atrophy and neuropathological hallmarks in diverse populations

medRxiv(2025)10.1101/2025.09.24.25336555
N/A
0DataRank · unranked
0 citations

Shinya Tasaki, Habbibur Rehman, Congcong Zhu, John J. Farrell, Richard Sherva +39 more

Potential Novel Genes for Late-Onset Alzheimer’s Disease in East-Asian Descent Identified by APOE-Stratified Genome-Wide Association Study

Journal of Alzheimer s Disease(2021)10.3233/jad-210145
N/A
0DataRank · unranked
38 citations

Jungsoo Gim, Jiwoon Lee, Tamil Iniyan Gunasekaran, Kyu Yeong Choi, Jang Jae Lee +18 more

Multi-Racial Normative Data for Lobar and Subcortical Brain Volumes in Old Age: Korean and Caucasian Norms May Be Incompatible With Each Other†

Frontiers in Aging Neuroscience(2021)10.3389/fnagi.2021.675016
N/A
0DataRank · unranked
17 citations

Jang Jae Lee, Kyu Yeong Choi, Uk-Su Choi, Eun Hyun Seo, Il Han Choo +8 more

A missense variant in SHARPIN mediates Alzheimer’s disease-specific brain damages

Translational Psychiatry(2021)10.1038/s41398-021-01680-5
N/A
0DataRank · unranked
20 citations

Dongsoo Lee, Jang Jae Lee, Jungsoo Gim, Tamil Iniyan Gunasekaran, Kyu Yeong Choi +29 more