Chang‐Min Kim
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Hepatitis C virus research
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Hepatology 15
- Hepatocellular Carcinoma Treatment and Prognosis 11
- Hepatitis C virus research 6
- Co-authors
- Joong‐Won Park (19 shared papers)Woo Jin Lee (6 shared papers)Ju Hyun Shim (4 shared papers)Joon‐Il Choi (5 shared papers)Sun‐Young Kong (3 shared papers)Kyung Woo Park (4 shared papers)Chang‐Woo Lee (5 shared papers)Kwan‐Hyuck Baek (5 shared papers)
- Journals
- Applied Sciences (5 papers)IEEE Access (4 papers)Journal of Cancer Research and Clinical Oncology (3 papers)Japanese Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Chang‐Min Kim
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Hepatology 598
- Cancer Research 175
- Pathology and Forensic Medicine 178
- Epidemiology 331
- Oncology 217
Countries citing papers authored by Chang‐Min Kim
This map shows the geographic impact of Chang‐Min 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 Chang‐Min Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Min Kim more than expected).
Fields of papers citing papers by Chang‐Min Kim
This network shows the impact of papers produced by Chang‐Min 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 Chang‐Min Kim. The network helps show where Chang‐Min Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang‐Min Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 199 | |
| 2 | 2007 | 113 | |
| 3 | 2003 | 71 | |
| 4 | 2005 | 69 | |
| 5 | 2023 | 67 | |
| 6 | 2007 | 64 | |
| 7 | 2013 | 53 | |
| 8 | 2005 | 52 | |
| 9 | 2003 | 46 | |
| 10 | 2008 | 45 | |
| 11 | 2007 | 42 | |
| 12 | 2004 | 35 | |
| 13 | 2006 | 33 | |
| 14 | 2023 | 30 | |
| 15 | 2008 | 29 | |
| 16 | 2011 | 28 | |
| 17 | 2005 | 25 | |
| 18 | 2021 | 25 | |
| 19 | 1993 | 21 | |
| 20 | 2020 | 21 |
About Chang‐Min Kim
Chang‐Min Kim is a scholar working on Hepatology, Molecular Biology, Epidemiology, Artificial Intelligence and Information Systems, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Hepatitis B Virus Studies (8 papers), AI in cancer detection (6 papers), Hepatitis C virus research (6 papers), Microtubule and mitosis dynamics (5 papers), Education, Safety, and Science Studies (5 papers), Education and Learning Interventions (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Hepatology (598 citations), Cancer Research (175 citations), Pathology and Forensic Medicine (178 citations), Epidemiology (331 citations) and Oncology (217 citations). Chang‐Min Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joong‐Won Park, Woo Jin Lee, Ju Hyun Shim, Joon‐Il Choi, Sun‐Young Kong, Kyung Woo Park, Chang‐Woo Lee, Kwan‐Hyuck Baek, Ji Hoon Kim and Hyun Beom Kim. Their work appears in journals such as Applied Sciences, IEEE Access, Journal of Cancer Research and Clinical Oncology, Japanese Journal of Clinical Oncology and Cancer 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.