Jun-Won Seo
Impact in
- Infectious Diseases top 5%
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
- Parasitology top 10%
Papers in
-
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 and COVID-19 Research 8
- Viral Infections and Vectors 7
- SARS-CoV-2 detection and testing 5
- Viral Infections and Outbreaks Research 3
-
- Long-Term Effects of COVID-19 7
- Co-authors
- Na Ra Yun (20 shared papers)Dayoung Kim (1 shared paper)Dong‐Min Kim (20 shared papers)Choon‐Mee Kim (16 shared papers)Eun Jung Lee (2 shared papers)Young Hee Jung (2 shared papers)So Hee Lee (2 shared papers)Tark Kim (2 shared papers)
- Journals
- Scientific Reports (3 papers)Viruses (3 papers)Microbiology Spectrum (3 papers)Journal of Korean Medical Science (2 papers)BMC Infectious Diseases (2 papers)
- Partner nations
- South KoreaUnited StatesTanzania
In The Last Decade
Jun-Won Seo
34 papers receiving 354 citations
Peers
Comparison fields: 5 of 78
- Infectious Diseases 244
- Parasitology 52
- Neurology 83
- Critical Care and Intensive Care Medicine 20
- Ecology, Evolution, Behavior and Systematics 53
Countries citing papers authored by Jun-Won Seo
This map shows the geographic impact of Jun-Won Seo'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-Won Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Won Seo more than expected).
Fields of papers citing papers by Jun-Won Seo
This network shows the impact of papers produced by Jun-Won Seo. 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-Won Seo. The network helps show where Jun-Won Seo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Won Seo, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 113 | |
| 2 | 2022 | 36 | |
| 3 | 2024 | 24 | |
| 4 | 2017 | 21 | |
| 5 | 2023 | 19 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2016 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 4 |
About Jun-Won Seo
Jun-Won Seo is a scholar working on Infectious Diseases, Neurology, Parasitology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 37 papers that have together received 363 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Long-Term Effects of COVID-19 (7 papers), Viral Infections and Vectors (7 papers), SARS-CoV-2 detection and testing (5 papers), Vector-borne infectious diseases (4 papers), Respiratory Support and Mechanisms (3 papers) and Viral Infections and Outbreaks Research (3 papers). The work is most often cited by research in Infectious Diseases (244 citations), Parasitology (52 citations), Neurology (83 citations), Critical Care and Intensive Care Medicine (20 citations) and Ecology, Evolution, Behavior and Systematics (53 citations). Jun-Won Seo has collaborated with scholars based in South Korea, United States and Tanzania. Frequent co-authors include Na Ra Yun, Dayoung Kim, Dong‐Min Kim, Choon‐Mee Kim, Eun Jung Lee, Young Hee Jung, So Hee Lee, Tark Kim, Seong Eun Kim and Yoonjung Kim. Their work appears in journals such as Scientific Reports, Viruses, Microbiology Spectrum, Journal of Korean Medical Science and BMC Infectious Diseases.
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.