Takehiko Saito
- Agronomy and Crop Science top 0.2%
- Animal Disease Management and Epidemiology 68
- Epidemiology top 0.5%
- Influenza Virus Research Studies 115
- Respiratory viral infections research 34
- Virology and Viral Diseases 7
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 28
- Viral Infections and Vectors 21
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 16
- Immunology top 5%
- interferon and immune responses 11
- Co-authors
- Yuko UchidaNobuhiro TakemaeMasato TashiroYoshihiro KawaokaYasuaki HiromotoRyota TsunekuniTaichiro TanikawaS. Yamada
- Partner nations
- JapanThailandUnited States
In The Last Decade
Takehiko Saito
122 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 92
- Agronomy and Crop Science 1.7k
- Epidemiology 3.2k
- Infectious Diseases 1.4k
- Animal Science and Zoology 313
- Immunology 548
Countries citing papers authored by Takehiko Saito
This map shows the geographic impact of Takehiko Saito'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 Takehiko Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takehiko Saito more than expected).
Fields of papers citing papers by Takehiko Saito
This network shows the impact of papers produced by Takehiko Saito. 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 Takehiko Saito. The network helps show where Takehiko Saito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takehiko Saito, 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 | 2024 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2018 | 3 | |
| 4 | 2018 | 9 | |
| 5 | 2016 | 26 | |
| 6 | 2016 | 144 | |
| 7 | 2016 | 7 | |
| 8 | 2015 | 15 | |
| 9 | 2015 | 39 | |
| 10 | 2015 | 14 | |
| 11 | 2012 | 41 | |
| 12 | 2012 | 22 | |
| 13 | 2011 | 50 | |
| 14 | 2011 | 12 | |
| 15 | 2010 | 10 | |
| 16 | 2009 | 86 | |
| 17 | 2007 | 70 | |
| 18 | 2003 | 6 | |
| 19 | 2000 | 35 | |
| 20 | 1994 | 25 |
About Takehiko Saito
Takehiko Saito is a scholar working on Agronomy and Crop Science, Epidemiology and Infectious Diseases, having authored 124 papers that have together received 3.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (115 papers), Animal Disease Management and Epidemiology (68 papers), Respiratory viral infections research (34 papers), Viral gastroenteritis research and epidemiology (28 papers), Viral Infections and Vectors (21 papers), Animal Virus Infections Studies (16 papers), interferon and immune responses (11 papers) and Virology and Viral Diseases (7 papers). The work is most often cited by research in Agronomy and Crop Science (1.7k citations), Epidemiology (3.2k citations) and Infectious Diseases (1.4k citations). Takehiko Saito has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Yuko Uchida, Nobuhiro Takemae, Masato Tashiro, Yoshihiro Kawaoka, Yasuaki Hiromoto, Ryota Tsunekuni, Taichiro Tanikawa, S. Yamada, Tsutomu Kageyama and Gabriele Neumann. Their work appears in journals such as Journal of Virology, Archives of Virology, Virology, Transboundary and Emerging Diseases and PLoS ONE.
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.