Chwan‐Chuen King
- Infectious Diseases top 0.2%
- Public Health, Environmental and Occupational Health top 0.2%
- Epidemiology top 2%
- Modeling and Simulation top 0.5%
- Molecular Biology
- Co-authors
- Chuan‐Liang KaoMuh‐Yong YenWei‐Kung WangJonathan SchwartzDay‐Yu ChaoGwong‐Jen J. ChangSu-Ru LinHan‐Chung Wu
- Topics
- Mosquito-borne diseases and control (52 papers)Viral Infections and Vectors (46 papers)Influenza Virus Research Studies (30 papers)
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chwan‐Chuen King
120 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Infectious Diseases 3.0k
- Public Health, Environmental and Occupational Health 2.9k
- Epidemiology 1.1k
- Modeling and Simulation 442
- Molecular Biology 415
Countries citing papers authored by Chwan‐Chuen King
This map shows the geographic impact of Chwan‐Chuen King'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 Chwan‐Chuen King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chwan‐Chuen King more than expected).
Fields of papers citing papers by Chwan‐Chuen King
This network shows the impact of papers produced by Chwan‐Chuen King. 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 Chwan‐Chuen King. The network helps show where Chwan‐Chuen King may publish in the future.
Co-authorship network of co-authors of Chwan‐Chuen King
This figure shows the co-authorship network connecting the top 25 collaborators of Chwan‐Chuen King. A scholar is included among the top collaborators of Chwan‐Chuen King 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 Chwan‐Chuen King. Chwan‐Chuen King is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 11 | |
| 8 | 20 | |
| 9 | How Does the Ambush Predatory Copepod Megacyclops formosanus (Harada, 1931) Capture Mosquito Larvae of Aedes aegypti? | 12 |
| 10 | 2 | |
| 11 | 46 | |
| 12 | 242 | |
| 13 | 74 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | Epidemiology and Surveillance System of Human Influenza Viruses | 1 |
| 17 | 44 | |
| 18 | 56 | |
| 19 | 41 | |
| 20 | 156 |
About Chwan‐Chuen King
Chwan‐Chuen King is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 120 papers that have together received 5.2k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (52 papers), Viral Infections and Vectors (46 papers) and Influenza Virus Research Studies (30 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Public Health, Environmental and Occupational Health (2.9k citations) and Modeling and Simulation (442 citations). Chwan‐Chuen King has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chuan‐Liang Kao, Muh‐Yong Yen, Wei‐Kung Wang, Jonathan Schwartz, Day‐Yu Chao, Gwong‐Jen J. Chang, Su-Ru Lin, Han‐Chung Wu, Li‐Kuang Chen and Szu‐Chia Hsieh. Their work appears in journals such as Environmental Science & Technology, The Journal of Immunology and PLoS ONE.
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.