Jeong‐Sun Yang
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 27
- COVID-19 Clinical Research Studies 18
- SARS-CoV-2 detection and testing 7
- Viral gastroenteritis research and epidemiology 6
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 5
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies 7
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- Carcinogens and Genotoxicity Assessment 5
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- Respiratory viral infections research 4
Jeong‐Sun Yang
45 papers receiving 350 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 200
- Modeling and Simulation 29
- Animal Science and Zoology 58
- Health, Toxicology and Mutagenesis 54
- Chemical Health and Safety 2
Countries citing papers authored by Jeong‐Sun Yang
This map shows the geographic impact of Jeong‐Sun Yang'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 Jeong‐Sun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeong‐Sun Yang more than expected).
Fields of papers citing papers by Jeong‐Sun Yang
This network shows the impact of papers produced by Jeong‐Sun Yang. 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 Jeong‐Sun Yang. The network helps show where Jeong‐Sun Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeong‐Sun Yang, 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 | 2024 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 3 | |
| 11 | Sustained responses of neutralizing antibodies against MERS-CoV in recovered patients and their therapeutic applicability. | 2020 | 5 |
| 12 | 2019 | 11 | |
| 13 | 2018 | 15 | |
| 14 | 2016 | 30 | |
| 15 | 2015 | 6 | |
| 16 | 2013 | 1 | |
| 17 | 2012 | 9 | |
| 18 | 2010 | 6 | |
| 19 | Antimutagenic Effects of Ginsenoside Rb $_1$ , Rg $_1$ in the CHO-K1 Cells by Benzo[a]pyrene with Chromosomal Aberration Test and Comet Assay | 2009 | 2 |
| 20 | 2005 | 12 |
About Jeong‐Sun Yang
Jeong‐Sun Yang is a scholar working on Infectious Diseases, Chemical Health and Safety, Modeling and Simulation, Animal Science and Zoology and Health, Toxicology and Mutagenesis, having authored 48 papers that have together received 365 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (27 papers), COVID-19 Clinical Research Studies (18 papers), SARS-CoV-2 detection and testing (7 papers), Animal Virus Infections Studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), COVID-19 epidemiological studies (5 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Infectious Diseases (200 citations), Modeling and Simulation (29 citations), Animal Science and Zoology (58 citations), Health, Toxicology and Mutagenesis (54 citations) and Chemical Health and Safety (2 citations). Jeong‐Sun Yang has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Min-Gu Kang, Kyung-Taek Rim, Joo-Yeon Lee, Kyung-Chang Kim, Kisoon Kim, Cheol‐Hong Lim, Jongbin Kim, Jongkyu Kim, Jun‐Hyung Cho and Jongkyu Kim. Their work appears in journals such as Emerging infectious diseases, Safety and Health at Work, Journal of Medical Virology, The Journal of Infectious Diseases and iScience.
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.