Jong‐Won Kim

14.0k citations
540 papers · 10.1k · h-index 46

Impact in

Papers in

    • BRCA gene mutations in cancer 20
    • Genomics and Rare Diseases 16
    • Genomic variations and chromosomal abnormalities 12

Jong‐Won Kim

516 papers receiving 9.8k citations

Peers

Jong‐Won Kim
Comparison fields: 5 of 189
  • Molecular Medicine 390
  • Clinical Biochemistry 365
  • Pharmacology 444
  • Endocrinology, Diabetes and Metabolism 765
  • Biological Psychiatry 99
Replace Yasuo Watanabe with:
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Wei Zheng United States
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David A. Barrett United Kingdom
Toru Kita Japan
Mats O. Karlsson Sweden
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Jong‐Won Kim relative to Yasuo Watanabe Japan Yasuo Watanabe's profile →
Citations per field
00.5×1.5×1.9×
Yasuo Watanabe · 1×
Citations per year

Countries citing papers authored by Jong‐Won Kim

Since Specialization
Citations

This map shows the geographic impact of Jong‐Won Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jong‐Won Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong‐Won Kim more than expected).

Fields of papers citing papers by Jong‐Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Won Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jong‐Won Kim. The network helps show where Jong‐Won Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Jong‐Won Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jong‐Won Kim Line = papers co-authored together Jong‐Won Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 540 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008448
2 2018200
3 2001180
4 2006175
5 2007142
6 2011137
7 2010135
8 2008123
9 2010118
10 1998109
11 2016107
12 2007106
13 2007102
14 2013101
15 1999101
16 201292
17 201088
18 201785
19 200783
20 201179

About Jong‐Won Kim

Jong‐Won Kim is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Genetics and Cancer Research, having authored 540 papers that have together received 10.1k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (20 papers), Genetic factors in colorectal cancer (19 papers), Metabolism and Genetic Disorders (18 papers), Genomics and Rare Diseases (16 papers), Cancer Genomics and Diagnostics (15 papers), Alzheimer's disease research and treatments (13 papers), Genetic Neurodegenerative Diseases (12 papers) and Genomic variations and chromosomal abnormalities (12 papers). The work is most often cited by research in Molecular Medicine (390 citations), Clinical Biochemistry (365 citations), Pharmacology (444 citations), Endocrinology, Diabetes and Metabolism (765 citations) and Biological Psychiatry (99 citations). Jong‐Won Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Chang‐Seok Ki, Soo‐Youn Lee, Doheon Lee, Eunjung Lee, Trey Ideker, Han‐Yu Chuang, Seung‐Tae Lee, Doh Kwan Kim, Hong‐Hee Won and Hyunjoo Pai. Their work appears in journals such as Annals of Laboratory Medicine, Journal of Korean Medical Science, International Journal of Molecular Sciences, PLoS ONE and Clinica Chimica Acta.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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