Rare Rollon
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
-
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 4
- Viral Infections and Vectors 4
-
- Influenza Virus Research Studies 4
- Respiratory viral infections research 3
- Co-authors
- Young Ki Choi (11 shared papers)Quyen Thi Nguyen (2 shared papers)Mark Anthony B. Casel (10 shared papers)Young‐Il Kim (8 shared papers)Jae U. Jung (2 shared papers)Min‐Suk Song (3 shared papers)Su-Jin Park (1 shared paper)Younho Choi (1 shared paper)
- Journals
- One Health (2 papers)Viruses (2 papers)mBio (1 paper)Emerging Microbes & Infections (1 paper)Microbiology Spectrum (1 paper)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Rare Rollon
10 papers receiving 271 citations
Peers
Comparison fields: 5 of 62
- Infectious Diseases 207
- Epidemiology 119
- Neurology 39
- Modeling and Simulation 10
- Animal Science and Zoology 17
Countries citing papers authored by Rare Rollon
This map shows the geographic impact of Rare Rollon'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 Rare Rollon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rare Rollon more than expected).
Fields of papers citing papers by Rare Rollon
This network shows the impact of papers produced by Rare Rollon. 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 Rare Rollon. The network helps show where Rare Rollon may publish in the future.
Co-authors
The 25 scholars most cited alongside Rare Rollon, 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 | 2020 | 130 | |
| 2 | 2022 | 64 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 13 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 6 | |
| 7 | 2022 | 4 | |
| 8 | 2024 | 4 | |
| 9 | 2021 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2025 | 0 |
About Rare Rollon
Rare Rollon is a scholar working on Infectious Diseases, Epidemiology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Neurology, having authored 11 papers that have together received 276 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Influenza Virus Research Studies (4 papers), COVID-19 Clinical Research Studies (4 papers), Viral Infections and Vectors (4 papers), Animal Disease Management and Epidemiology (3 papers), Respiratory viral infections research (3 papers), Vector-Borne Animal Diseases (2 papers) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Infectious Diseases (207 citations), Epidemiology (119 citations), Neurology (39 citations), Modeling and Simulation (10 citations) and Animal Science and Zoology (17 citations). Rare Rollon has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Young Ki Choi, Quyen Thi Nguyen, Mark Anthony B. Casel, Young‐Il Kim, Jae U. Jung, Min‐Suk Song, Su-Jin Park, Younho Choi, Woo-Jin Shin and Hye Won Jeong. Their work appears in journals such as One Health, Viruses, mBio, Emerging Microbes & Infections and Microbiology Spectrum.
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.