Kisoon Kim
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 15
- Epidemiology 31
- Respiratory viral infections research 14
- Influenza Virus Research Studies 11
- Co-authors
- Chun Kang (12 shared papers)Tatsuo Miyamura (1 shared paper)Jongbin Kim (6 shared papers)Naokazu Takeda (1 shared paper)Jing Zhang (1 shared paper)Eric E. Mast (1 shared paper)Tian‐Cheng Li (1 shared paper)Yoon‐Seok Chung (8 shared papers)
- Journals
- Journal of Medical Virology (6 papers)Emerging infectious diseases (4 papers)Scientific Reports (3 papers)PLoS ONE (3 papers)Journal of Virology (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Kisoon Kim
57 papers receiving 750 citations
Peers
Comparison fields: 5 of 78
- Infectious Diseases 398
- Hepatology 120
- Epidemiology 364
- Health 80
- Virology 33
Countries citing papers authored by Kisoon Kim
This map shows the geographic impact of Kisoon 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 Kisoon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kisoon Kim more than expected).
Fields of papers citing papers by Kisoon Kim
This network shows the impact of papers produced by Kisoon 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 Kisoon Kim. The network helps show where Kisoon Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Kisoon 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 99 | |
| 2 | 2011 | 49 | |
| 3 | 2014 | 49 | |
| 4 | 2021 | 47 | |
| 5 | 2006 | 46 | |
| 6 | 2015 | 32 | |
| 7 | 2013 | 30 | |
| 8 | 2013 | 29 | |
| 9 | 2012 | 20 | |
| 10 | 2012 | 18 | |
| 11 | 2020 | 18 | |
| 12 | 2014 | 18 | |
| 13 | 2008 | 17 | |
| 14 | 2018 | 17 | |
| 15 | 2017 | 16 | |
| 16 | 2015 | 16 | |
| 17 | 2013 | 15 | |
| 18 | 2018 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2019 | 13 |
About Kisoon Kim
Kisoon Kim is a scholar working on Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine, Genetics and General Health Professions, having authored 63 papers that have together received 774 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (15 papers), Respiratory viral infections research (14 papers), Influenza Virus Research Studies (11 papers), Viral Infections and Immunology Research (10 papers), Health and Wellbeing Research (9 papers), HIV Research and Treatment (7 papers), Virus-based gene therapy research (7 papers) and Animal Disease Management and Epidemiology (7 papers). The work is most often cited by research in Infectious Diseases (398 citations), Hepatology (120 citations), Epidemiology (364 citations), Health (80 citations) and Virology (33 citations). Kisoon Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Chun Kang, Tatsuo Miyamura, Jongbin Kim, Naokazu Takeda, Jing Zhang, Eric E. Mast, Tian‐Cheng Li, Yoon‐Seok Chung, Hansaem Lee and Youngmee Jee. Their work appears in journals such as Journal of Medical Virology, Emerging infectious diseases, Scientific Reports, PLoS ONE and Journal of Virology.
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.