In‐Kyu Yoon
- Public Health, Environmental and Occupational Health top 0.5%
- Infectious Diseases top 1%
- Epidemiology top 10%
- Molecular Biology
- Modeling and Simulation top 1%
- Co-authors
- Stephen J. ThomasRichard G. JarmanStefan FernandezAnanda NisalakRobert V. GibbonsButsaya ThaisomboonsukChonticha KlungthongAnon Srikiatkhachorn
- Topics
- Mosquito-borne diseases and control (50 papers)Viral Infections and Vectors (41 papers)Malaria Research and Control (28 papers)
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Partner nations
- United StatesThailandSouth Korea
In The Last Decade
In‐Kyu Yoon
76 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Public Health, Environmental and Occupational Health 1.7k
- Infectious Diseases 1.5k
- Epidemiology 442
- Molecular Biology 241
- Modeling and Simulation 210
Countries citing papers authored by In‐Kyu Yoon
This map shows the geographic impact of In‐Kyu Yoon'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 In‐Kyu Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Kyu Yoon more than expected).
Fields of papers citing papers by In‐Kyu Yoon
This network shows the impact of papers produced by In‐Kyu Yoon. 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 In‐Kyu Yoon. The network helps show where In‐Kyu Yoon may publish in the future.
Co-authorship network of co-authors of In‐Kyu Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of In‐Kyu Yoon. A scholar is included among the top collaborators of In‐Kyu Yoon 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 In‐Kyu Yoon. In‐Kyu Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 31 | |
| 4 | 11 | |
| 5 | 14 | |
| 6 | 24 | |
| 7 | 19 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 41 | |
| 12 | 68 | |
| 13 | 17 | |
| 14 | 25 | |
| 15 | 29 | |
| 16 | 61 | |
| 17 | 24 | |
| 18 | 46 | |
| 19 | 71 | |
| 20 | 42 |
About In‐Kyu Yoon
In‐Kyu Yoon is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (50 papers), Viral Infections and Vectors (41 papers) and Malaria Research and Control (28 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Public Health, Environmental and Occupational Health (1.7k citations) and Modeling and Simulation (210 citations). In‐Kyu Yoon has collaborated with scholars based in United States, Thailand and South Korea. Frequent co-authors include Stephen J. Thomas, Richard G. Jarman, Stefan Fernandez, Ananda Nisalak, Robert V. Gibbons, Butsaya Thaisomboonsuk, Chonticha Klungthong, Anon Srikiatkhachorn, Piyawan Chinnawirotpisan and Mammen P. Mammen. Their work appears in journals such as Nature Medicine, PLoS ONE and Nature Reviews Drug Discovery.
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.