Kanya C. Long
- Public Health, Environmental and Occupational Health top 2%
- Infectious Diseases top 2%
- Modeling and Simulation top 2%
- Insect Science top 5%
- Epidemiology
- Co-authors
- Thomas W. ScottLouis LambrechtsEric S. HalseyArnaud TarantolaRekol HuyPhilippe BuchyAnavaj SakuntabhaiSowath Ly
- Topics
- Mosquito-borne diseases and control (12 papers)Viral Infections and Vectors (9 papers)Malaria Research and Control (5 papers)
- Cited by
- Infectious DiseasesModeling and SimulationPublic Health, Environmental and Occupational Health
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical MicrobiologyProceedings of the Royal Society B Biological Sciences
- Partner nations
- United StatesPeruFrance
In The Last Decade
Kanya C. Long
14 papers receiving 913 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Public Health, Environmental and Occupational Health 796
- Infectious Diseases 658
- Modeling and Simulation 138
- Insect Science 112
- Epidemiology 79
Countries citing papers authored by Kanya C. Long
This map shows the geographic impact of Kanya C. Long'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 Kanya C. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanya C. Long more than expected).
Fields of papers citing papers by Kanya C. Long
This network shows the impact of papers produced by Kanya C. Long. 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 Kanya C. Long. The network helps show where Kanya C. Long may publish in the future.
Co-authorship network of co-authors of Kanya C. Long
This figure shows the co-authorship network connecting the top 25 collaborators of Kanya C. Long. A scholar is included among the top collaborators of Kanya C. Long 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 Kanya C. Long. Kanya C. Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | 72 | |
| 4 | 28 | |
| 5 | 101 | |
| 6 | 41 | |
| 7 | Asymptomatic humans transmit dengue virus to mosquitoesbreakdown → | 330 |
| 8 | 49 | |
| 9 | 18 | |
| 10 | 4 | |
| 11 | 41 | |
| 12 | 167 | |
| 13 | 20 | |
| 14 | Coverage and costs of childhood immunizations in Cameroon. | 55 |
About Kanya C. Long
Kanya C. Long is a scholar working on Infectious Diseases, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 939 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (12 papers), Viral Infections and Vectors (9 papers) and Malaria Research and Control (5 papers). The work is most often cited by research in Infectious Diseases (658 citations), Modeling and Simulation (138 citations) and Public Health, Environmental and Occupational Health (796 citations). Kanya C. Long has collaborated with scholars based in United States, Peru and France. Frequent co-authors include Thomas W. Scott, Louis Lambrechts, Eric S. Halsey, Arnaud Tarantola, Rekol Huy, Philippe Buchy, Anavaj Sakuntabhai, Sowath Ly, Richard Paúl and Veasna Duong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Microbiology and Proceedings of the Royal Society B Biological Sciences.
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.