Jonggul Lee
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
Papers in
-
- COVID-19 epidemiological studies 10
-
- SARS-CoV-2 and COVID-19 Research 3
- Viral Infections and Outbreaks Research 3
- Co-authors
- Eunok Jung (11 shared papers)Gerardo Chowell (2 shared papers)Hiroshi Nishiura (1 shared paper)Sunmi Lee (1 shared paper)Cécile Viboud (1 shared paper)Fatima Abdirizak (1 shared paper)Soyoung Kim (2 shared papers)Vittoria Colizza (1 shared paper)
- Journals
- Journal of Theoretical Biology (4 papers)Journal of Mathematical Biology (1 paper)Journal of Korean Medical Science (1 paper)BMC Medicine (1 paper)Materials Research Express (1 paper)
- Partner nations
- South KoreaFranceUnited States
In The Last Decade
Jonggul Lee
15 papers receiving 559 citations
Jonggul Lee's Hit Papers
Peers
Comparison fields: 5 of 100
- Modeling and Simulation 281
- Infectious Diseases 278
- General Dentistry 13
- Emergency Medical Services 25
- Public Health, Environmental and Occupational Health 95
Countries citing papers authored by Jonggul Lee
This map shows the geographic impact of Jonggul Lee'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 Jonggul Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonggul Lee more than expected).
Fields of papers citing papers by Jonggul Lee
This network shows the impact of papers produced by Jonggul Lee. 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 Jonggul Lee. The network helps show where Jonggul Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonggul Lee, 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 | Transmission characteristics of MERS and SARS in the healthcare setting: a comparative study Hit paper breakdown → | 2015 | 323 |
| 2 | 2016 | 77 | |
| 3 | 2016 | 46 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 22 | |
| 6 | 2016 | 15 | |
| 7 | 2018 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2015 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2014 | 3 | |
| 15 | 2015 | 1 | |
| 16 | An Open Tank System of Valveless Pumping | 2010 | 0 |
About Jonggul Lee
Jonggul Lee is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Agronomy and Crop Science and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 570 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), Animal Disease Management and Epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Viral Infections and Outbreaks Research (3 papers), Lattice Boltzmann Simulation Studies (2 papers), Machine Learning in Materials Science (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (281 citations), Infectious Diseases (278 citations), General Dentistry (13 citations), Emergency Medical Services (25 citations) and Public Health, Environmental and Occupational Health (95 citations). Jonggul Lee has collaborated with scholars based in South Korea, France and United States. Frequent co-authors include Eunok Jung, Gerardo Chowell, Hiroshi Nishiura, Sunmi Lee, Cécile Viboud, Fatima Abdirizak, Soyoung Kim, Vittoria Colizza, Eugenio Valdano and Stefania Rubrichi. Their work appears in journals such as Journal of Theoretical Biology, Journal of Mathematical Biology, Journal of Korean Medical Science, BMC Medicine and Materials Research Express.
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.