Dongwan Yoo
- Animal Science and Zoology top 0.05%
- Animal Virus Infections Studies 96
- Infectious Diseases top 0.2%
- Viral gastroenteritis research and epidemiology 87
- SARS-CoV-2 and COVID-19 Research 10
- Genetics top 0.5%
- Virus-based gene therapy research 73
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology 18
- Hepatology top 2%
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- Viral Infections and Immunology Research 22
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- Vector-Borne Animal Diseases 8
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- Microbial infections and disease research 7
- Co-authors
- Qingzhan ZhangSarah K. WoottonChanghee LeeRaymond R. R. RowlandMingyuan HanJay G. CalvertYan SunChia-Ming Su
- Partner nations
- United StatesCanadaChina
In The Last Decade
Dongwan Yoo
141 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 120
- Animal Science and Zoology 3.5k
- Infectious Diseases 3.6k
- Genetics 2.3k
- Agronomy and Crop Science 493
- Hepatology 346
Countries citing papers authored by Dongwan Yoo
This map shows the geographic impact of Dongwan Yoo'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 Dongwan Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongwan Yoo more than expected).
Fields of papers citing papers by Dongwan Yoo
This network shows the impact of papers produced by Dongwan Yoo. 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 Dongwan Yoo. The network helps show where Dongwan Yoo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dongwan Yoo, 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 | 2024 | 5 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2021 | 141 | |
| 5 | 2021 | 29 | |
| 6 | 2018 | 13 | |
| 7 | 2016 | 20 | |
| 8 | 2013 | 41 | |
| 9 | 2010 | 96 | |
| 10 | 2010 | 123 | |
| 11 | 2009 | 46 | |
| 12 | 2009 | 9 | |
| 13 | RAPID DETECTION OF SWINE TRANSMISSIBLE GASTROENTERITIS VIRUS BY NESTED POLYMERASE CHAIN REACTION | 2008 | 2 |
| 14 | 2008 | 54 | |
| 15 | 2008 | 6 | |
| 16 | 2008 | 191 | |
| 17 | 2003 | 52 | |
| 18 | 1999 | 15 | |
| 19 | 1996 | 35 | |
| 20 | 1991 | 20 |
About Dongwan Yoo
Dongwan Yoo is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics, having authored 147 papers that have together received 5.1k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (96 papers), Viral gastroenteritis research and epidemiology (87 papers), Virus-based gene therapy research (73 papers), Viral Infections and Immunology Research (22 papers), Animal Disease Management and Epidemiology (18 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Vector-Borne Animal Diseases (8 papers) and Microbial infections and disease research (7 papers). The work is most often cited by research in Animal Science and Zoology (3.5k citations), Infectious Diseases (3.6k citations) and Genetics (2.3k citations). Dongwan Yoo has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Qingzhan Zhang, Sarah K. Wootton, Changhee Lee, Raymond R. R. Rowland, Mingyuan Han, Jay G. Calvert, Yan Sun, Chia-Ming Su, Hanzhong Ke and Yijun Du. Their work appears in journals such as Nucleic Acids Research, 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.