Kyeongah Nah
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Epidemiology
- Parasitology top 10%
- Co-authors
- Hiroshi NishiuraKenji MizumotoRyo KinoshitaJian WuBiao TangNicola Luigi BragazziYongkuk KimAttila J. Trájer
- Topics
- COVID-19 epidemiological studies (14 papers)Influenza Virus Research Studies (7 papers)Viral Infections and Vectors (7 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- CanadaSouth KoreaHungary
In The Last Decade
Kyeongah Nah
24 papers receiving 381 citations
Peers
Comparison fields: 5 of 63
- Modeling and Simulation 221
- Public Health, Environmental and Occupational Health 207
- Infectious Diseases 196
- Epidemiology 59
- Parasitology 44
Countries citing papers authored by Kyeongah Nah
This map shows the geographic impact of Kyeongah Nah'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 Kyeongah Nah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyeongah Nah more than expected).
Fields of papers citing papers by Kyeongah Nah
This network shows the impact of papers produced by Kyeongah Nah. 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 Kyeongah Nah. The network helps show where Kyeongah Nah may publish in the future.
Co-authorship network of co-authors of Kyeongah Nah
This figure shows the co-authorship network connecting the top 25 collaborators of Kyeongah Nah. A scholar is included among the top collaborators of Kyeongah Nah 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 Kyeongah Nah. Kyeongah Nah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 21 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 63 | |
| 8 | 9 | |
| 9 | 20 | |
| 10 | 3 | |
| 11 | 21 | |
| 12 | 20 | |
| 13 | 74 | |
| 14 | 29 | |
| 15 | 43 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 17 | |
| 19 | Estimation of the incubation period of P. vivax malaria in Korea from 2006 to 2008 | 1 |
| 20 | 19 |
About Kyeongah Nah
Kyeongah Nah is a scholar working on Modeling and Simulation, Parasitology and Infectious Diseases, having authored 24 papers that have together received 395 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (14 papers), Influenza Virus Research Studies (7 papers) and Viral Infections and Vectors (7 papers). The work is most often cited by research in Modeling and Simulation (221 citations), Infectious Diseases (196 citations) and Public Health, Environmental and Occupational Health (207 citations). Kyeongah Nah has collaborated with scholars based in Canada, South Korea and Hungary. Frequent co-authors include Hiroshi Nishiura, Kenji Mizumoto, Ryo Kinoshita, Jian Wu, Biao Tang, Nicola Luigi Bragazzi, Yongkuk Kim, Attila J. Trájer, Ákos Bede‐Fazekas and Xiunan Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.