Wisoot Chan-it
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Viral gastroenteritis research and epidemiology 17
- Clostridium difficile and Clostridium perfringens research 1
-
- Viral Infections and Immunology Research 10
- Co-authors
- Hiroshi Ushijima (15 shared papers)Shoko Okitsu (12 shared papers)Pattara Khamrin (12 shared papers)Niwat Maneekarn (9 shared papers)Aksara Thongprachum (11 shared papers)Masashi Mizuguchi (9 shared papers)Supatra Peerakome (4 shared papers)Fumihiro Yagyu (1 shared paper)
In The Last Decade
Wisoot Chan-it
18 papers receiving 448 citations
Peers
Comparison fields: 5 of 28
- Infectious Diseases 426
- Animal Science and Zoology 194
- Cardiology and Cardiovascular Medicine 235
- Hepatology 67
- Epidemiology 51
Countries citing papers authored by Wisoot Chan-it
This map shows the geographic impact of Wisoot Chan-it'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 Wisoot Chan-it with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wisoot Chan-it more than expected).
Fields of papers citing papers by Wisoot Chan-it
This network shows the impact of papers produced by Wisoot Chan-it. 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 Wisoot Chan-it. The network helps show where Wisoot Chan-it may publish in the future.
Co-authors
The 25 scholars most cited alongside Wisoot Chan-it, 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 | 2007 | 95 | |
| 2 | 2006 | 42 | |
| 3 | 2014 | 37 | |
| 4 | 2010 | 36 | |
| 5 | 2011 | 32 | |
| 6 | 2008 | 26 | |
| 7 | 2010 | 26 | |
| 8 | 2008 | 24 | |
| 9 | 2012 | 24 | |
| 10 | 2010 | 23 | |
| 11 | 2009 | 20 | |
| 12 | 2010 | 20 | |
| 13 | 2009 | 18 | |
| 14 | Detection and genetic characterization of norovirus infections in children with acute gastroenteritis in Japan, 2007-2009. | 2011 | 18 |
| 15 | 2013 | 9 | |
| 16 | 2007 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2022 | 1 |
About Wisoot Chan-it
Wisoot Chan-it is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Epidemiology and Genetics, having authored 18 papers that have together received 456 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (17 papers), Viral Infections and Immunology Research (10 papers), Animal Virus Infections Studies (10 papers), Respiratory viral infections research (3 papers), Virus-based gene therapy research (3 papers), Clostridium difficile and Clostridium perfringens research (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (426 citations), Animal Science and Zoology (194 citations), Cardiology and Cardiovascular Medicine (235 citations), Hepatology (67 citations) and Epidemiology (51 citations). Wisoot Chan-it has collaborated with scholars based in Japan, Thailand and Laos. Frequent co-authors include Hiroshi Ushijima, Shoko Okitsu, Pattara Khamrin, Niwat Maneekarn, Aksara Thongprachum, Masashi Mizuguchi, Supatra Peerakome, Fumihiro Yagyu, Satoshi Hayakawa and Sayaka Takanashi. Their work appears in journals such as Journal of Clinical Microbiology, Infection Genetics and Evolution, Virology, Epidemiology and Infection and Journal of Clinical 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.