Yasuko Hatta
Impact in
- Epidemiology top 2%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
Papers in
- Epidemiology 29
- Influenza Virus Research Studies 27
- Respiratory viral infections research 13
- Immunology 14
- Immune Response and Inflammation 8
- Immune Cell Function and Interaction 5
- interferon and immune responses 3
- Co-authors
- Yoshihiro KawaokaMasato HattaKyoko ShinyaJinhyun KimMichael G. KatzeShinji WatanabeHeinz FeldmannHideki Ebihara
- Journals
- Vaccine (6 papers)Journal of Virology (4 papers)Vaccines (3 papers)Nature (2 papers)Emerging infectious diseases (2 papers)
- Partner nations
- United StatesJapanKenya
In The Last Decade
Yasuko Hatta
27 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Epidemiology 1.2k
- Immunology 707
- Infectious Diseases 542
- Agronomy and Crop Science 275
- Modeling and Simulation 45
Countries citing papers authored by Yasuko Hatta
This map shows the geographic impact of Yasuko Hatta'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 Yasuko Hatta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuko Hatta more than expected).
Fields of papers citing papers by Yasuko Hatta
This network shows the impact of papers produced by Yasuko Hatta. 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 Yasuko Hatta. The network helps show where Yasuko Hatta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuko Hatta, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 30 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 5 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 28 | |
| 11 | 2017 | 29 | |
| 12 | 2016 | 33 | |
| 13 | 2014 | 12 | |
| 14 | 2013 | 19 | |
| 15 | 2011 | 15 | |
| 16 | 2010 | 53 | |
| 17 | 2009 | 1 | |
| 18 | 2008 | 60 | |
| 19 | 2008 | 18 | |
| 20 | Aberrant innate immune response in lethal infection of macaques with the 1918 influenza virus Hit paper breakdown → | 2007 | 727 |
About Yasuko Hatta
Yasuko Hatta is a scholar working on Epidemiology, Immunology, Infectious Diseases, Agronomy and Crop Science and Animal Science and Zoology, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (27 papers), Respiratory viral infections research (13 papers), Immune Response and Inflammation (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Immune Cell Function and Interaction (5 papers), Animal Disease Management and Epidemiology (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Epidemiology (1.2k citations), Immunology (707 citations), Infectious Diseases (542 citations), Agronomy and Crop Science (275 citations) and Modeling and Simulation (45 citations). Yasuko Hatta has collaborated with scholars based in United States, Japan and Kenya. Frequent co-authors include Yoshihiro Kawaoka, Masato Hatta, Kyoko Shinya, Jinhyun Kim, Michael G. Katze, Shinji Watanabe, Heinz Feldmann, Hideki Ebihara, Peter Halfmann and Steven J.M. Jones. Their work appears in journals such as Vaccine, Journal of Virology, Vaccines, Nature and Emerging infectious diseases.
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.