Sung-mok Jung
- Modeling and Simulation top 0.2%
- Infectious Diseases top 2%
- Economics and Econometrics top 2%
- Epidemiology top 10%
- Oncology
- Co-authors
- Hiroshi NishiuraAndrei R. AkhmetzhanovRyo KinoshitaKatsuma HayashiNatalie M. LintonYichi YangT. KobayashiBaoyin Yuan
- Topics
- COVID-19 epidemiological studies (21 papers)SARS-CoV-2 and COVID-19 Research (10 papers)COVID-19 Pandemic Impacts (8 papers)
- 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
- Epidemiology 254
- 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 of co-authors of Sung-mok Jung
This figure shows the co-authorship network connecting the top 25 collaborators of Sung-mok Jung. A scholar is included among the top collaborators of Sung-mok Jung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sung-mok Jung. Sung-mok Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 10 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 14 | |
| 18 | 12 | |
| 19 | 6 | |
| 20 | 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) and COVID-19 Pandemic Impacts (8 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.