Sung-mok Jung
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 21
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 10
- Viral Infections and Outbreaks Research 6
- Economics and Econometrics top 2%
- COVID-19 Pandemic Impacts 8
- Health top 10%
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- Virology and Viral Diseases 7
- Data-Driven Disease Surveillance 5
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- Poxvirus research and outbreaks 4
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- COVID-19 impact on air quality 3
- Co-authors
- Hiroshi NishiuraAndrei R. AkhmetzhanovRyo KinoshitaKatsuma HayashiNatalie M. LintonYichi YangT. KobayashiBaoyin Yuan
- Journals
- Analytical Chemistry (1 paper)The Journal of Infectious Diseases (3 papers)BMC Public Health (1 paper)
- Partner nations
- JapanSouth KoreaUnited Kingdom
In The Last Decade
Sung-mok Jung
40 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Modeling and Simulation 976
- Infectious Diseases 636
- Economics and Econometrics 394
- Health 79
- Oncology 204
Countries citing papers authored by Sung-mok Jung
This map shows the geographic impact of Sung-mok Jung'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 Sung-mok Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-mok Jung more than expected).
Fields of papers citing papers by Sung-mok Jung
This network shows the impact of papers produced by Sung-mok Jung. 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 Sung-mok Jung. The network helps show where Sung-mok Jung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sung-mok Jung, 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 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 20 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 4 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 14 | |
| 18 | 2018 | 12 | |
| 19 | 2018 | 6 | |
| 20 | 2018 | 8 |
About Sung-mok Jung
Sung-mok Jung is a scholar working on Modeling and Simulation, Virology and Infectious Diseases, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (21 papers), SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Pandemic Impacts (8 papers), Virology and Viral Diseases (7 papers), Viral Infections and Outbreaks Research (6 papers), Data-Driven Disease Surveillance (5 papers), Poxvirus research and outbreaks (4 papers) and COVID-19 impact on air quality (3 papers). The work is most often cited by research in Modeling and Simulation (976 citations), Infectious Diseases (636 citations) and Economics and Econometrics (394 citations). Sung-mok Jung has collaborated with scholars based in Japan, South Korea and United Kingdom. Frequent co-authors include Hiroshi Nishiura, Andrei R. Akhmetzhanov, Ryo Kinoshita, Katsuma Hayashi, Natalie M. Linton, Yichi Yang, T. Kobayashi, Baoyin Yuan, Asami Anzai and Ayako Suzuki. Their work appears in journals such as Analytical Chemistry, The Journal of Infectious Diseases and BMC Public Health.
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.