Pirom Noisumdaeng
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology 10
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 6
- SARS-CoV-2 and COVID-19 Research 4
- Viral Infections and Vectors 3
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- Influenza Virus Research Studies 12
- Respiratory viral infections research 7
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- Viral Infections and Immunology Research 4
- Modeling and Simulation top 10%
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- Mosquito-borne diseases and control 2
Pirom Noisumdaeng
24 papers receiving 316 citations
Peers
Comparison fields: 5 of 53
- Agronomy and Crop Science 82
- Infectious Diseases 138
- Epidemiology 204
- Cardiology and Cardiovascular Medicine 90
- Modeling and Simulation 18
Countries citing papers authored by Pirom Noisumdaeng
This map shows the geographic impact of Pirom Noisumdaeng'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 Pirom Noisumdaeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pirom Noisumdaeng more than expected).
Fields of papers citing papers by Pirom Noisumdaeng
This network shows the impact of papers produced by Pirom Noisumdaeng. 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 Pirom Noisumdaeng. The network helps show where Pirom Noisumdaeng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pirom Noisumdaeng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2019 | 34 | |
| 13 | 2018 | 20 | |
| 14 | 2016 | 3 | |
| 15 | 2016 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2013 | 9 | |
| 18 | 2012 | 7 | |
| 19 | The difference in IL-1beta , MIP-1alpha, IL-8 and IL-18 production between the infection of PMA activated U937 cells with recombinant vaccinia viruses inserted 2004 H5N1 influenza HA genes and NS genes. | 2011 | 3 |
| 20 | 2011 | 43 |
About Pirom Noisumdaeng
Pirom Noisumdaeng is a scholar working on Agronomy and Crop Science, Infectious Diseases and Endocrinology, having authored 26 papers that have together received 324 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Animal Disease Management and Epidemiology (10 papers), Respiratory viral infections research (7 papers), Viral gastroenteritis research and epidemiology (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Immunology Research (4 papers), Viral Infections and Vectors (3 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Agronomy and Crop Science (82 citations), Infectious Diseases (138 citations) and Epidemiology (204 citations). Pirom Noisumdaeng has collaborated with scholars based in Thailand, Japan and Vietnam. Frequent co-authors include Pilaipan Puthavathana, Phisanu Pooruk, Kulkanya Chokephaibulkit, Hatairat Lerdsamran, Prasert Auewarakul, Tawee Chotpitayasunondh, Kantima Sangsiriwut, Anek Mungaomklang, Suda Louisirirotchanakul and Rungrueng Kitphati. Their work appears in journals such as PLoS ONE, Scientific Reports and Virology.
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.