Jun‐Sik Lim
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
-
- Animal Disease Management and Epidemiology 13
-
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Sukhyun Ryu (10 shared papers)Byung Chul Chun (4 shared papers)Sheikh Taslim Ali (3 shared papers)Bryan Kim (2 shared papers)Son‐Il Pak (5 shared papers)Timothée Vergne (3 shared papers)Benjamin J. Cowling (2 shared papers)Sunmi Lee (1 shared paper)
- Journals
- Emerging infectious diseases (3 papers)Transboundary and Emerging Diseases (3 papers)Journal of Veterinary Science (2 papers)Animals (1 paper)Influenza and Other Respiratory Viruses (1 paper)
- Partner nations
- South KoreaFranceHong Kong
In The Last Decade
Jun‐Sik Lim
26 papers receiving 462 citations
Peers
Comparison fields: 5 of 94
- Modeling and Simulation 106
- Agronomy and Crop Science 114
- Infectious Diseases 147
- Parasitology 25
- Biomaterials 51
Countries citing papers authored by Jun‐Sik Lim
This map shows the geographic impact of Jun‐Sik Lim'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 Jun‐Sik Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Sik Lim more than expected).
Fields of papers citing papers by Jun‐Sik Lim
This network shows the impact of papers produced by Jun‐Sik Lim. 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 Jun‐Sik Lim. The network helps show where Jun‐Sik Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Sik Lim, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 66 | |
| 2 | 2022 | 57 | |
| 3 | 2011 | 52 | |
| 4 | 2021 | 45 | |
| 5 | 2021 | 31 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 24 | |
| 8 | 2021 | 23 | |
| 9 | 2023 | 21 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2021 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2017 | 7 | |
| 19 | 2013 | 5 | |
| 20 | 2021 | 4 |
About Jun‐Sik Lim
Jun‐Sik Lim is a scholar working on Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Epidemiology and Modeling and Simulation, having authored 27 papers that have together received 474 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (13 papers), Vector-Borne Animal Diseases (6 papers), COVID-19 epidemiological studies (5 papers), Influenza Virus Research Studies (5 papers), Zoonotic diseases and public health (4 papers), Agriculture and Farm Safety (3 papers), Viral Infections and Immunology Research (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Modeling and Simulation (106 citations), Agronomy and Crop Science (114 citations), Infectious Diseases (147 citations), Parasitology (25 citations) and Biomaterials (51 citations). Jun‐Sik Lim has collaborated with scholars based in South Korea, France and Hong Kong. Frequent co-authors include Sukhyun Ryu, Byung Chul Chun, Sheikh Taslim Ali, Bryan Kim, Son‐Il Pak, Timothée Vergne, Benjamin J. Cowling, Sunmi Lee, Chang‐Seok Ki and Chiara Achangwa. Their work appears in journals such as Emerging infectious diseases, Transboundary and Emerging Diseases, Journal of Veterinary Science, Animals and Influenza and Other Respiratory Viruses.
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.