Choon Won Kim

434 citations
10 papers · 389 · h-index 9

Impact in

    • Pharmacological Effects of Natural Compounds
    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • Drug-Induced Hepatotoxicity and Protection 5
    • Liver physiology and pathology 5
    • Liver Disease and Transplantation 2

Choon Won Kim

10 papers receiving 369 citations

Peers

Choon Won Kim
Comparison fields: 5 of 72
  • Pharmacology 189
  • Hepatology 72
  • Epidemiology 94
  • Pathology and Forensic Medicine 39
  • Molecular Biology 149
Replace Xiaonan Cong with:
Xiaonan Cong China
Marc Wolter Germany
Yigang Feng Hong Kong
Jun Kai China
Lina Luo China
Lingxiang Jin China
Jean‐Marc Bégué France
Hyo-Yeon Kim South Korea
Zhaofang Bai China
Choon Won Kim relative to Xiaonan Cong China Xiaonan Cong's profile →
Citations per field
00.5×1.5×1.9×
Xiaonan Cong · 1×
Citations per year

Countries citing papers authored by Choon Won Kim

Since Specialization
Citations

This map shows the geographic impact of Choon 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 Choon 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 Choon Won Kim more than expected).

Fields of papers citing papers by Choon Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Choon 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 Choon Won Kim. The network helps show where Choon Won Kim may publish in the future.

Co-authors

The 16 scholars most cited alongside Choon 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 Choon Won Kim Line = papers co-authored together Choon Won Kim links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006106
2 200276
3 200752
4 200545
5 199728
6 200223
7 200322
8 199820
9 200511
10 20026

About Choon Won Kim

Choon Won Kim is a scholar working on Pharmacology, Hepatology, Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 389 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (5 papers), Liver physiology and pathology (5 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Liver Disease and Transplantation (2 papers), Diet, Metabolism, and Disease (1 paper), Cancer Treatment and Pharmacology (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Pharmacology (189 citations), Hepatology (72 citations), Epidemiology (94 citations), Pathology and Forensic Medicine (39 citations) and Molecular Biology (149 citations). Choon Won Kim has collaborated with scholars based in South Korea. Frequent co-authors include Sang Geon Kim, Sung Hwan Ki, Keon Wook Kang, Jong Rok Lee, Young Woo Kim, Sang Chan Kim, Soo Kyung Bae, Myung Gull Lee, Seon Young Nam and Eun Young Park. Their work appears in journals such as Chemico-Biological Interactions, Journal of Pharmacy and Pharmacology, The FASEB Journal, Biochemical Pharmacology and Archives of Pharmacal Research.

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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