Sungyong Won
Impact in
- Infectious Diseases top 2%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
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- Vector-Borne Animal Diseases
Papers in
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- Viral Infections and Vectors 10
- Viral Infections and Outbreaks Research 2
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- Vector-Borne Animal Diseases 8
- Co-authors
- Shinji Makino (9 shared papers)Tetsuro Ikegami (8 shared papers)Clarence J. Peters (7 shared papers)Wataru Kamitani (2 shared papers)Krishna Narayanan (2 shared papers)Kaori Terasaki (2 shared papers)CJ Peters (1 shared paper)Bruce Beutler (4 shared papers)
- Journals
- Journal of Virology (7 papers)Proceedings of the National Academy of Sciences (2 papers)Genetics (1 paper)PLoS Pathogens (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Sungyong Won
16 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 902
- Ecology, Evolution, Behavior and Systematics 491
- Global and Planetary Change 296
- Public Health, Environmental and Occupational Health 252
- Insect Science 54
Countries citing papers authored by Sungyong Won
This map shows the geographic impact of Sungyong Won'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 Sungyong Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungyong Won more than expected).
Fields of papers citing papers by Sungyong Won
This network shows the impact of papers produced by Sungyong Won. 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 Sungyong Won. The network helps show where Sungyong Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungyong Won, 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 | 214 | |
| 2 | 2009 | 200 | |
| 3 | 2007 | 165 | |
| 4 | 2006 | 90 | |
| 5 | 2005 | 77 | |
| 6 | 2009 | 69 | |
| 7 | 2011 | 55 | |
| 8 | 2012 | 48 | |
| 9 | 2007 | 47 | |
| 10 | 2010 | 41 | |
| 11 | 2012 | 39 | |
| 12 | 2014 | 37 | |
| 13 | 2011 | 32 | |
| 14 | 2010 | 29 | |
| 15 | 2006 | 29 | |
| 16 | Reverse genetics system and fucntion of NSM protein of Rift Valley fever virus (family Bunyaviridae, genus phlebovirus) | 2007 | 1 |
About Sungyong Won
Sungyong Won is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Public Health, Environmental and Occupational Health, Virology and Global and Planetary Change, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral Infections and Vectors (10 papers), Vector-Borne Animal Diseases (8 papers), Mosquito-borne diseases and control (8 papers), Viral Infections and Outbreaks Research (2 papers), Plant Virus Research Studies (2 papers), Fire effects on ecosystems (2 papers), 14-3-3 protein interactions (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Infectious Diseases (902 citations), Ecology, Evolution, Behavior and Systematics (491 citations), Global and Planetary Change (296 citations), Public Health, Environmental and Occupational Health (252 citations) and Insect Science (54 citations). Sungyong Won has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Shinji Makino, Tetsuro Ikegami, Clarence J. Peters, Wataru Kamitani, Krishna Narayanan, Kaori Terasaki, CJ Peters, Bruce Beutler, Eva Marie Y. Moresco and Ioannis Eleftherianos. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Genetics, PLoS Pathogens and PLoS ONE.
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.