Kang Mo Kim

9.8k citations
184 papers · 7.2k indexed · h-index 43
  • Hepatology top 0.1%
    • Hepatocellular Carcinoma Treatment and Prognosis 93
    • Hepatitis C virus research 43
    • Liver Disease and Transplantation 38
  • Epidemiology top 0.5%
    • Liver Disease Diagnosis and Treatment 88
    • Hepatitis B Virus Studies 54
    • Cancer, Lipids, and Metabolism 11
  • Oncology top 2%
    • Cancer Mechanisms and Therapy 12
    • Cholangiocarcinoma and Gallbladder Cancer Studies 28

Kang Mo Kim

177 papers receiving 7.1k citations

Peers

Kang Mo Kim
Comparison fields: 5 of 119
  • Hepatology 5.0k
  • Epidemiology 3.9k
  • Cancer Research 937
  • Oncology 1.2k
  • Pathology and Forensic Medicine 732
Replace Ju Hyun Shim with:
Ju Hyun Shim South Korea
Helen L. Reeves United Kingdom
Olivier Rosmorduc France
Osamu Nakashima Japan
Matthias Pinter Austria
Won Young Tak South Korea
Angelo Sangiovanni Italy
Si Hyun Bae South Korea
Kenichi Wakasa Japan
Josep Fuster Spain
Kang Mo Kim relative to Ju Hyun Shim South Korea Ju Hyun Shim's profile →
Citations per field
00.5×1.5×
Ju Hyun Shim · 1×
Citations per year

Countries citing papers authored by Kang Mo Kim

Since Specialization
Citations

This map shows the geographic impact of Kang Mo 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 Kang Mo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Mo Kim more than expected).

Fields of papers citing papers by Kang Mo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kang Mo 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 Kang Mo Kim Line = papers co-authored together Kang Mo Kim links everyone, so they are left out of the graph.

All Works

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19 201865
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The Role of Radiotherapy in the Treatment of Portal Vein Thrombosis from Advanced Hepatocellular Carcinoma.
20073

About Kang Mo Kim

Kang Mo Kim is a scholar working on Hepatology, Epidemiology and Cancer Research, having authored 184 papers that have together received 7.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (93 papers), Liver Disease Diagnosis and Treatment (88 papers), Hepatitis B Virus Studies (54 papers), Hepatitis C virus research (43 papers), Liver Disease and Transplantation (38 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (28 papers), Cancer Mechanisms and Therapy (12 papers) and Cancer, Lipids, and Metabolism (11 papers). The work is most often cited by research in Hepatology (5.0k citations), Epidemiology (3.9k citations) and Cancer Research (937 citations). Kang Mo Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Young‐Suk Lim, Han Chu Lee, Ju Hyun Shim, Yung Sang Lee, Dong Jin Suh, Young–Hwa Chung, Sung‐Gyu Lee, Danbi Lee, Jihyun An and Jung‐Hwan Yoon. Their work appears in journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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