Yuko Uchida
Impact in
- Agronomy and Crop Science top 0.5%
- Animal Disease Management and Epidemiology
- Epidemiology top 1%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 73
- Influenza Virus Research Studies 69
- Respiratory viral infections research 17
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- Animal Disease Management and Epidemiology 55
- Co-authors
- Takehiko Saito (61 shared papers)Nobuhiro Takemae (35 shared papers)Ryota Tsunekuni (25 shared papers)Taichiro Tanikawa (18 shared papers)Yoshihiro Kawaoka (5 shared papers)Masato Tashiro (4 shared papers)S. Yamada (3 shared papers)Tsutomu Kageyama (3 shared papers)
In The Last Decade
Yuko Uchida
88 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Agronomy and Crop Science 1.1k
- Epidemiology 1.6k
- Infectious Diseases 843
- Animal Science and Zoology 187
- Immunology 315
Countries citing papers authored by Yuko Uchida
This map shows the geographic impact of Yuko Uchida'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 Yuko Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Uchida more than expected).
Fields of papers citing papers by Yuko Uchida
This network shows the impact of papers produced by Yuko Uchida. 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 Yuko Uchida. The network helps show where Yuko Uchida may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuko Uchida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic analysis of novel avian A(H7N9) influenza viruses isolated from patients in China, February to April 2013. | 2013 | 242 |
| 2 | 2013 | 216 | |
| 3 | 2011 | 85 | |
| 4 | 2015 | 77 | |
| 5 | 2008 | 71 | |
| 6 | 2015 | 64 | |
| 7 | 2013 | 61 | |
| 8 | 2017 | 49 | |
| 9 | 2008 | 44 | |
| 10 | 2001 | 43 | |
| 11 | 2017 | 42 | |
| 12 | 1997 | 41 | |
| 13 | 2009 | 37 | |
| 14 | 2008 | 36 | |
| 15 | 2011 | 35 | |
| 16 | 2014 | 31 | |
| 17 | 2008 | 29 | |
| 18 | 2016 | 29 | |
| 19 | 2011 | 28 | |
| 20 | 1983 | 28 |
About Yuko Uchida
Yuko Uchida is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology and Immunology, having authored 90 papers that have together received 2.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (69 papers), Animal Disease Management and Epidemiology (55 papers), Viral gastroenteritis research and epidemiology (22 papers), Viral Infections and Vectors (19 papers), Respiratory viral infections research (17 papers), Animal Virus Infections Studies (11 papers), interferon and immune responses (4 papers) and Phase Equilibria and Thermodynamics (4 papers). The work is most often cited by research in Agronomy and Crop Science (1.1k citations), Epidemiology (1.6k citations), Infectious Diseases (843 citations), Animal Science and Zoology (187 citations) and Immunology (315 citations). Yuko Uchida has collaborated with scholars based in Japan, Thailand and Russia. Frequent co-authors include Takehiko Saito, Nobuhiro Takemae, Ryota Tsunekuni, Taichiro Tanikawa, Yoshihiro Kawaoka, Masato Tashiro, S. Yamada, Tsutomu Kageyama, Seiichiro Fujisaki and Gabriele Neumann. Their work appears in journals such as Viruses, Archives of Virology, Transboundary and Emerging Diseases, Emerging infectious diseases and Journal of Chemical & Engineering Data.
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.