Ji‐Soo Kwon
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- SARS-CoV-2 detection and testing
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- SARS-CoV-2 and COVID-19 Research 15
- COVID-19 Clinical Research Studies 10
- Viral Infections and Vectors 6
- SARS-CoV-2 detection and testing 4
- Viral Infections and Outbreaks Research 3
- Co-authors
- Sung‐Han KimEui‐Cheol ShinSu‐Hyung ParkHeung Kyu LeeSeong Jin ChoiHoyoung LeeHye Won JeongJin Young Ahn
- Journals
- American Journal of Tropical Medicine and Hygiene (6 papers)Immune Network (4 papers)The Journal of Infectious Diseases (3 papers)Journal of Medical Virology (2 papers)Journal of Korean Medical Science (2 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Ji‐Soo Kwon
31 papers receiving 938 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Infectious Diseases 641
- Neurology 211
- Immunology 229
- Epidemiology 176
- Critical Care and Intensive Care Medicine 19
Countries citing papers authored by Ji‐Soo Kwon
This map shows the geographic impact of Ji‐Soo Kwon'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 Ji‐Soo Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji‐Soo Kwon more than expected).
Fields of papers citing papers by Ji‐Soo Kwon
This network shows the impact of papers produced by Ji‐Soo Kwon. 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 Ji‐Soo Kwon. The network helps show where Ji‐Soo Kwon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ji‐Soo Kwon, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 8 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 19 | |
| 14 | 2021 | 29 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 20 | |
| 17 | 2019 | 35 | |
| 18 | 2019 | 9 | |
| 19 | 2018 | 55 | |
| 20 | 2018 | 14 |
About Ji‐Soo Kwon
Ji‐Soo Kwon is a scholar working on Infectious Diseases, Dermatology, Neurology, Health and Epidemiology, having authored 35 papers that have together received 946 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), COVID-19 Clinical Research Studies (10 papers), Herpesvirus Infections and Treatments (8 papers), Viral Infections and Vectors (6 papers), Long-Term Effects of COVID-19 (5 papers), Mosquito-borne diseases and control (4 papers), SARS-CoV-2 detection and testing (4 papers) and Viral Infections and Outbreaks Research (3 papers). The work is most often cited by research in Infectious Diseases (641 citations), Neurology (211 citations), Immunology (229 citations), Epidemiology (176 citations) and Critical Care and Intensive Care Medicine (19 citations). Ji‐Soo Kwon has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Sung‐Han Kim, Eui‐Cheol Shin, Su‐Hyung Park, Heung Kyu Lee, Seong Jin Choi, Hoyoung Lee, Hye Won Jeong, Jin Young Ahn, Seong-Wan Park and Moa Sa. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Immune Network, The Journal of Infectious Diseases, Journal of Medical Virology and Journal of Korean Medical Science.
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.