Piyada Supasa
- Public Health, Environmental and Occupational Health top 2%
- Infectious Diseases top 2%
- Epidemiology
- Insect Science top 5%
- Modeling and Simulation top 5%
- Co-authors
- Gavin ScreatonJuthathip MongkolsapayaWanwisa DejnirattisaiWiyada WongwiwatPrida MalasitAlexander RouvinskiGiovanna Barba–SpaethF.A. Rey
- Topics
- Mosquito-borne diseases and control (8 papers)Viral Infections and Vectors (7 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Partner nations
- ThailandUnited KingdomUnited States
In The Last Decade
Piyada Supasa
11 papers receiving 995 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Public Health, Environmental and Occupational Health 882
- Infectious Diseases 779
- Epidemiology 249
- Insect Science 108
- Modeling and Simulation 83
Countries citing papers authored by Piyada Supasa
This map shows the geographic impact of Piyada Supasa'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 Piyada Supasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piyada Supasa more than expected).
Fields of papers citing papers by Piyada Supasa
This network shows the impact of papers produced by Piyada Supasa. 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 Piyada Supasa. The network helps show where Piyada Supasa may publish in the future.
Co-authorship network of co-authors of Piyada Supasa
This figure shows the co-authorship network connecting the top 25 collaborators of Piyada Supasa. A scholar is included among the top collaborators of Piyada Supasa 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 Piyada Supasa. Piyada Supasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 32 | |
| 8 | 30 | |
| 9 | 108 | |
| 10 | 87 | |
| 11 | 64 | |
| 12 | Dengue virus sero-cross-reactivity drives antibody-dependent enhancement of infection with zika virusbreakdown → | 663 |
About Piyada Supasa
Piyada Supasa is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (8 papers), Viral Infections and Vectors (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Infectious Diseases (779 citations), Public Health, Environmental and Occupational Health (882 citations) and Modeling and Simulation (83 citations). Piyada Supasa has collaborated with scholars based in Thailand, United Kingdom and United States. Frequent co-authors include Gavin Screaton, Juthathip Mongkolsapaya, Wanwisa Dejnirattisai, Wiyada Wongwiwat, Prida Malasit, Alexander Rouvinski, Giovanna Barba–Spaeth, F.A. Rey, Thaneeya Duangchinda and Anavaj Sakuntabhai. Their work appears in journals such as Nature Medicine, Nature Communications and Nature Immunology.
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.