Chang-Won Lee
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
- Epidemiology 16
- Influenza Virus Research Studies 13
- Respiratory viral infections research 7
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- Viral gastroenteritis research and epidemiology 5
- Viral Infections and Vectors 3
- Co-authors
- John M. Ngunjiri (12 shared papers)Hyesun Jang (5 shared papers)Amir Ghorbani (7 shared papers)Philip I. Marcus (3 shared papers)Michael C. Abundo (4 shared papers)Mohamed Elaish (4 shared papers)Kristi M. Moore (1 shared paper)Mark W. Jackwood (1 shared paper)
- Journals
- Avian Diseases (5 papers)PLoS ONE (4 papers)Vaccine (3 papers)Journal of Virology (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSouth KoreaEgypt
In The Last Decade
Chang-Won Lee
21 papers receiving 337 citations
Peers
Comparison fields: 5 of 54
- Animal Science and Zoology 107
- Infectious Diseases 143
- Agronomy and Crop Science 55
- Epidemiology 182
- Immunology 67
Countries citing papers authored by Chang-Won Lee
This map shows the geographic impact of Chang-Won Lee'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-Won Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang-Won Lee more than expected).
Fields of papers citing papers by Chang-Won Lee
This network shows the impact of papers produced by Chang-Won Lee. 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-Won Lee. The network helps show where Chang-Won Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang-Won Lee, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 71 | |
| 2 | 2014 | 38 | |
| 3 | 2018 | 32 | |
| 4 | 2016 | 24 | |
| 5 | 2010 | 22 | |
| 6 | 2010 | 20 | |
| 7 | 2018 | 20 | |
| 8 | 2017 | 18 | |
| 9 | 2012 | 16 | |
| 10 | 2019 | 16 | |
| 11 | 2013 | 13 | |
| 12 | 2019 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2013 | 9 | |
| 15 | 2015 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2018 | 1 |
About Chang-Won Lee
Chang-Won Lee is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Agronomy and Crop Science, having authored 21 papers that have together received 344 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Immune Response and Inflammation (4 papers), Animal Disease Management and Epidemiology (3 papers), Viral Infections and Vectors (3 papers), vaccines and immunoinformatics approaches (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Animal Science and Zoology (107 citations), Infectious Diseases (143 citations), Agronomy and Crop Science (55 citations), Epidemiology (182 citations) and Immunology (67 citations). Chang-Won Lee has collaborated with scholars based in United States, South Korea and Egypt. Frequent co-authors include John M. Ngunjiri, Hyesun Jang, Amir Ghorbani, Philip I. Marcus, Michael C. Abundo, Mohamed Elaish, Kristi M. Moore, Mark W. Jackwood, Hyuk Moo Kwon and Scott A. Callison. Their work appears in journals such as Avian Diseases, PLoS ONE, Vaccine, Journal of Virology and The Journal of Immunology.
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.