Seung Won
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
- COVID-19 Clinical Research Studies
Papers in
-
- Tracheal and airway disorders 3
- Surgery 9
- Co-authors
- Anuradha Ganesan (8 shared papers)Brian K. Agan (8 shared papers)Tahaniyat Lalani (5 shared papers)Jason F. Okulicz (6 shared papers)Robert Deiss (4 shared papers)Ryan C. Maves (5 shared papers)Karl Kronmann (5 shared papers)Christina Schofield (4 shared papers)
- Journals
- Open Forum Infectious Diseases (3 papers)HIV Medicine (1 paper)Diabetes Technology & Therapeutics (1 paper)Clinical Infectious Diseases (1 paper)World Allergy Organization Journal (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Seung Won
31 papers receiving 251 citations
Peers
Comparison fields: 5 of 76
- Virology 70
- Infectious Diseases 114
- Emergency Medicine 35
- Applied Microbiology and Biotechnology 5
- Epidemiology 50
Countries citing papers authored by Seung Won
This map shows the geographic impact of Seung Won'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 Seung Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung Won more than expected).
Fields of papers citing papers by Seung Won
This network shows the impact of papers produced by Seung Won. 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 Seung Won. The network helps show where Seung Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Seung Won, 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 | 2019 | 67 | |
| 2 | 2017 | 24 | |
| 3 | 2020 | 15 | |
| 4 | 2016 | 13 | |
| 5 | 2018 | 10 | |
| 6 | 2021 | 10 | |
| 7 | 2018 | 10 | |
| 8 | 2016 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2011 | 5 | |
| 20 | 2023 | 5 |
About Seung Won
Seung Won is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Infectious Diseases, Epidemiology and Emergency Medicine, having authored 37 papers that have together received 258 indexed citations. Recurring topics across this work include HIV-related health complications and treatments (4 papers), HIV/AIDS drug development and treatment (4 papers), HIV/AIDS Research and Interventions (3 papers), Tracheal and airway disorders (3 papers), HIV Research and Treatment (3 papers), Mycobacterium research and diagnosis (3 papers), Dysphagia Assessment and Management (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Virology (70 citations), Infectious Diseases (114 citations), Emergency Medicine (35 citations), Applied Microbiology and Biotechnology (5 citations) and Epidemiology (50 citations). Seung Won has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Anuradha Ganesan, Brian K. Agan, Tahaniyat Lalani, Jason F. Okulicz, Robert Deiss, Ryan C. Maves, Karl Kronmann, Christina Schofield, Nancy F. Crum‐Cianflone and Byung Ju Kang. Their work appears in journals such as Open Forum Infectious Diseases, HIV Medicine, Diabetes Technology & Therapeutics, Clinical Infectious Diseases and World Allergy Organization Journal.
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.