Jun-Hun Kwon
Impact in
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
- Epidemiology 13
- Influenza Virus Research Studies 10
- Virology and Viral Diseases 2
- Respiratory viral infections research 2
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- Animal Disease Management and Epidemiology 13
- Co-authors
- Ok‐Mi Jeong (11 shared papers)Youn‐Jeong Lee (11 shared papers)Jun‐Gu Choi (9 shared papers)Hyun‐Mi Kang (10 shared papers)Eun‐Kyoung Lee (6 shared papers)Sang‐Ho Cha (2 shared papers)Kyoung‐Jin Yoon (2 shared papers)Jae‐Young Song (2 shared papers)
- Journals
- Avian Diseases (3 papers)Journal of Wildlife Diseases (3 papers)Veterinary Microbiology (2 papers)Poultry Science (1 paper)Virus Research (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jun-Hun Kwon
18 papers receiving 504 citations
Peers
Comparison fields: 5 of 30
- Agronomy and Crop Science 326
- Infectious Diseases 294
- Animal Science and Zoology 148
- Epidemiology 373
- Microbiology 18
Countries citing papers authored by Jun-Hun Kwon
This map shows the geographic impact of Jun-Hun Kwon'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 Jun-Hun Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Hun Kwon more than expected).
Fields of papers citing papers by Jun-Hun Kwon
This network shows the impact of papers produced by Jun-Hun Kwon. 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 Jun-Hun Kwon. The network helps show where Jun-Hun Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Hun Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 105 | |
| 2 | 2010 | 61 | |
| 3 | 2010 | 54 | |
| 4 | 2010 | 47 | |
| 5 | 2006 | 44 | |
| 6 | 2008 | 40 | |
| 7 | 2007 | 39 | |
| 8 | 2011 | 30 | |
| 9 | 2010 | 27 | |
| 10 | 2010 | 15 | |
| 11 | 2009 | 14 | |
| 12 | 2008 | 12 | |
| 13 | 2012 | 9 | |
| 14 | 2010 | 9 | |
| 15 | 2010 | 8 | |
| 16 | 2009 | 7 | |
| 17 | 2008 | 3 | |
| 18 | 2008 | 2 |
About Jun-Hun Kwon
Jun-Hun Kwon is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology and Ecology, Evolution, Behavior and Systematics, having authored 18 papers that have together received 526 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (13 papers), Influenza Virus Research Studies (10 papers), Animal Virus Infections Studies (7 papers), Viral gastroenteritis research and epidemiology (7 papers), Immune Response and Inflammation (2 papers), Virology and Viral Diseases (2 papers), Vector-Borne Animal Diseases (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Agronomy and Crop Science (326 citations), Infectious Diseases (294 citations), Animal Science and Zoology (148 citations), Epidemiology (373 citations) and Microbiology (18 citations). Jun-Hun Kwon has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Ok‐Mi Jeong, Youn‐Jeong Lee, Jun‐Gu Choi, Hyun‐Mi Kang, Eun‐Kyoung Lee, Sang‐Ho Cha, Kyoung‐Jin Yoon, Jae‐Young Song, Eun‐Jin Choi and Joong‐Bok Lee. Their work appears in journals such as Avian Diseases, Journal of Wildlife Diseases, Veterinary Microbiology, Poultry Science and Virus 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.