Rungrueng Kitphati
- Epidemiology top 2%
- Infectious Diseases top 2%
- Agronomy and Crop Science top 2%
- Molecular Medicine top 2%
- Immunology
- Co-authors
- Pilaipan PuthavathanaPrasert AuewarakulAnucha ApisarnthanarakMongkol UiprasertkulLinda M. MundyMalinee ChittaganpitchKumnuan UngchusakPranee Thawatsupha
- Topics
- Influenza Virus Research Studies (16 papers)COVID-19 epidemiological studies (5 papers)Respiratory viral infections research (5 papers)
- Partner nations
- ThailandUnited StatesUnited Kingdom
In The Last Decade
Rungrueng Kitphati
35 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Epidemiology 1.2k
- Infectious Diseases 623
- Agronomy and Crop Science 378
- Molecular Medicine 197
- Immunology 168
Countries citing papers authored by Rungrueng Kitphati
This map shows the geographic impact of Rungrueng Kitphati'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 Rungrueng Kitphati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rungrueng Kitphati more than expected).
Fields of papers citing papers by Rungrueng Kitphati
This network shows the impact of papers produced by Rungrueng Kitphati. 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 Rungrueng Kitphati. The network helps show where Rungrueng Kitphati may publish in the future.
Co-authorship network of co-authors of Rungrueng Kitphati
This figure shows the co-authorship network connecting the top 25 collaborators of Rungrueng Kitphati. A scholar is included among the top collaborators of Rungrueng Kitphati 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 Rungrueng Kitphati. Rungrueng Kitphati 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 | 19 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 141 | |
| 8 | 18 | |
| 9 | 97 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 14 | |
| 15 | 25 | |
| 16 | 16 | |
| 17 | 78 | |
| 18 | 101 | |
| 19 | Probable Person-to-Person Transmission of Avian Influenza A (H5N1)breakdown → | 615 |
| 20 | 33 |
About Rungrueng Kitphati
Rungrueng Kitphati is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Molecular Medicine, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (16 papers), COVID-19 epidemiological studies (5 papers) and Respiratory viral infections research (5 papers). The work is most often cited by research in Molecular Medicine (197 citations), Agronomy and Crop Science (378 citations) and Infectious Diseases (623 citations). Rungrueng Kitphati has collaborated with scholars based in Thailand, United States and United Kingdom. Frequent co-authors include Pilaipan Puthavathana, Prasert Auewarakul, Anucha Apisarnthanarak, Mongkol Uiprasertkul, Linda M. Mundy, Malinee Chittaganpitch, Kumnuan Ungchusak, Pranee Thawatsupha, Wattana Auwanit and Nancy J. Cox. Their work appears in journals such as New England Journal of Medicine, Clinical Infectious Diseases 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.