Jun Kwon
Impact in
- Animal Science and Zoology top 5%
- Coccidia and coccidiosis research
- Animal Nutrition and Physiology
- Animal Virus Infections Studies
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
-
- Influenza Virus Research Studies 4
- Herpesvirus Infections and Treatments 3
-
- Viral gastroenteritis research and epidemiology 3
- Viral Infections and Vectors 3
- Co-authors
- Hong Han (3 shared papers)Jae‐Hong Kim (4 shared papers)Chang Hee Kweon (4 shared papers)Yong Joo Kim (3 shared papers)Byeong Yeal Jung (3 shared papers)Eun Kyoung Lee (2 shared papers)Haan Woo Sung (1 shared paper)Yong Kuk Kwon (5 shared papers)
- Journals
- Journal of Veterinary Science (7 papers)Avian Pathology (3 papers)Biomaterials Science (1 paper)Aquaculture (1 paper)Veterinary Microbiology (1 paper)
- Partner nations
- South KoreaUnited StatesCambodia
In The Last Decade
Jun Kwon
15 papers receiving 351 citations
Peers
Comparison fields: 5 of 40
- Animal Science and Zoology 106
- Agronomy and Crop Science 99
- Infectious Diseases 158
- Parasitology 49
- Small Animals 45
Countries citing papers authored by Jun Kwon
This map shows the geographic impact of Jun 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 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 Kwon more than expected).
Fields of papers citing papers by Jun Kwon
This network shows the impact of papers produced by Jun 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 Kwon. The network helps show where Jun Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 | 2008 | 76 | |
| 2 | 2010 | 60 | |
| 3 | 2004 | 49 | |
| 4 | 2009 | 32 | |
| 5 | 2004 | 28 | |
| 6 | 2010 | 26 | |
| 7 | 2004 | 20 | |
| 8 | 2008 | 18 | |
| 9 | 2013 | 14 | |
| 10 | 2007 | 13 | |
| 11 | 2006 | 11 | |
| 12 | 2011 | 9 | |
| 13 | 2008 | 7 | |
| 14 | Microbiology,Immunology : Characterization of Yersinia ruckeri isolated from the farm-cultured eel Anguilla japonica in Korea | 2010 | 1 |
| 15 | 2025 | 1 |
About Jun Kwon
Jun Kwon is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Immunology and Molecular Biology, having authored 15 papers that have together received 365 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (5 papers), Influenza Virus Research Studies (4 papers), Herpesvirus Infections and Treatments (3 papers), Aquaculture disease management and microbiota (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Viral Infections and Vectors (3 papers), Mosquito-borne diseases and control (3 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Animal Science and Zoology (106 citations), Agronomy and Crop Science (99 citations), Infectious Diseases (158 citations), Parasitology (49 citations) and Small Animals (45 citations). Jun Kwon has collaborated with scholars based in South Korea, United States and Cambodia. Frequent co-authors include Hong Han, Jae‐Hong Kim, Chang Hee Kweon, Yong Joo Kim, Byeong Yeal Jung, Eun Kyoung Lee, Haan Woo Sung, Yong Kuk Kwon, Woo Hyun Kim and Wongi Min. Their work appears in journals such as Journal of Veterinary Science, Avian Pathology, Biomaterials Science, Aquaculture and Veterinary Microbiology.
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.