Won‐Il Kim
Impact in
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology
Papers in ⓘ
-
- Animal Virus Infections Studies 56
-
- Viral gastroenteritis research and epidemiology 44
- Co-authors
- Kyoung‐Jin Yoon (10 shared papers)Amina Khatun (22 shared papers)Chang‐Gi Jeong (25 shared papers)Sang‐Ho Cha (4 shared papers)Seung-Chai Kim (25 shared papers)Jeffrey J. Zimmerman (1 shared paper)John Prickett (1 shared paper)Nadeem Shabir (10 shared papers)
- Journals
- BMC Veterinary Research (8 papers)Transboundary and Emerging Diseases (5 papers)Animals (4 papers)Veterinary Microbiology (4 papers)Viruses (3 papers)
- Partner nations
- South KoreaBangladeshUnited States
In The Last Decade
Won‐Il Kim
117 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Animal Science and Zoology 792
- Infectious Diseases 749
- Genetics 527
- Agronomy and Crop Science 171
- Microbiology 103
Countries citing papers authored by Won‐Il Kim
This map shows the geographic impact of Won‐Il Kim'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 Won‐Il Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won‐Il Kim more than expected).
Fields of papers citing papers by Won‐Il Kim
This network shows the impact of papers produced by Won‐Il Kim. 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 Won‐Il Kim. The network helps show where Won‐Il Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Won‐Il Kim, 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 115 | |
| 2 | 2007 | 71 | |
| 3 | 2008 | 65 | |
| 4 | 2012 | 50 | |
| 5 | 2003 | 49 | |
| 6 | 2018 | 43 | |
| 7 | 2018 | 39 | |
| 8 | 2018 | 39 | |
| 9 | 2015 | 32 | |
| 10 | 2022 | 31 | |
| 11 | 2021 | 30 | |
| 12 | 2008 | 30 | |
| 13 | 2019 | 29 | |
| 14 | 2022 | 28 | |
| 15 | 2020 | 27 | |
| 16 | Synthesis of Monolithic Titania-Silica Composite Aerogels with Supercritical Drying Process | 2003 | 25 |
| 17 | 2021 | 25 | |
| 18 | 2015 | 24 | |
| 19 | 2013 | 22 | |
| 20 | 2010 | 19 |
About Won‐Il Kim
Won‐Il Kim is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Epidemiology and Plant Science, having authored 133 papers that have together received 1.3k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (56 papers), Viral gastroenteritis research and epidemiology (44 papers), Virus-based gene therapy research (35 papers), Viral Infections and Immunology Research (12 papers), Animal Disease Management and Epidemiology (12 papers), Agriculture, Soil, Plant Science (8 papers), Plant Virus Research Studies (7 papers) and Influenza Virus Research Studies (5 papers). The work is most often cited by research in Animal Science and Zoology (792 citations), Infectious Diseases (749 citations), Genetics (527 citations), Agronomy and Crop Science (171 citations) and Microbiology (103 citations). Won‐Il Kim has collaborated with scholars based in South Korea, Bangladesh and United States. Frequent co-authors include Kyoung‐Jin Yoon, Amina Khatun, Chang‐Gi Jeong, Sang‐Ho Cha, Seung-Chai Kim, Jeffrey J. Zimmerman, John Prickett, Nadeem Shabir, Salik Nazki and Ho-Seong Cho. Their work appears in journals such as BMC Veterinary Research, Transboundary and Emerging Diseases, Animals, Veterinary Microbiology and Viruses.
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.