Jira Chansaenroj
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 22
- COVID-19 Clinical Research Studies 12
- Viral gastroenteritis research and epidemiology 12
- Epidemiology top 10%
- Cervical Cancer and HPV Research 17
- Hepatitis B Virus Studies 10
- Modeling and Simulation top 10%
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies 13
- Microbiology top 10%
-
- Viral Infections and Immunology Research 13
-
- Mosquito-borne diseases and control 9
- Co-authors
- Yong PoovorawanChintana ChirathawornJiratchaya PuenpaNasamon WanlapakornSompong VongpunsawadSarawut KhongwichitSunchai PayungpornThanunrat Thongmee
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (6 papers)Scientific Reports (2 papers)
- Partner nations
- ThailandUnited KingdomJapan
In The Last Decade
Jira Chansaenroj
70 papers receiving 928 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 441
- Epidemiology 337
- Modeling and Simulation 36
- Animal Science and Zoology 78
- Microbiology 44
Countries citing papers authored by Jira Chansaenroj
This map shows the geographic impact of Jira Chansaenroj'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 Jira Chansaenroj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jira Chansaenroj more than expected).
Fields of papers citing papers by Jira Chansaenroj
This network shows the impact of papers produced by Jira Chansaenroj. 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 Jira Chansaenroj. The network helps show where Jira Chansaenroj may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jira Chansaenroj, 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 | 2023 | 4 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 17 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 42 | |
| 16 | 2020 | 62 | |
| 17 | 2020 | 2 | |
| 18 | Human astrovirus among patients with acute gastroenteritis in Thailand, 2009-2017. | 2019 | 3 |
| 19 | 2019 | 3 | |
| 20 | 2017 | 20 |
About Jira Chansaenroj
Jira Chansaenroj is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 72 papers that have together received 942 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (22 papers), Cervical Cancer and HPV Research (17 papers), Animal Virus Infections Studies (13 papers), Viral Infections and Immunology Research (13 papers), COVID-19 Clinical Research Studies (12 papers), Viral gastroenteritis research and epidemiology (12 papers), Hepatitis B Virus Studies (10 papers) and Mosquito-borne diseases and control (9 papers). The work is most often cited by research in Infectious Diseases (441 citations), Epidemiology (337 citations) and Modeling and Simulation (36 citations). Jira Chansaenroj has collaborated with scholars based in Thailand, United Kingdom and Japan. Frequent co-authors include Yong Poovorawan, Chintana Chirathaworn, Jiratchaya Puenpa, Nasamon Wanlapakorn, Sompong Vongpunsawad, Sarawut Khongwichit, Sunchai Payungporn, Thanunrat Thongmee, Pornjarim Nilyanimit and Apiradee Theamboonlers. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.