Ryota Ouda
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune responses and vaccinations
- Immune Cell Function and Interaction
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Immunology 11
- interferon and immune responses 6
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 3
- Immune responses and vaccinations 2
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- RNA Research and Splicing 3
- Co-authors
- Takashi Fujita (8 shared papers)Ji‐Seung Yoo (3 shared papers)Koichi S. Kobayashi (6 shared papers)Keiko Ozato (3 shared papers)Mitsutoshi Yoneyama (2 shared papers)Kiyohiro Takahasi (2 shared papers)Hiroki Kato (3 shared papers)Koji Onomoto (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)ACS Sustainable Chemistry & Engineering (2 papers)ChemSusChem (1 paper)
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
Ryota Ouda
16 papers receiving 657 citations
Peers
Comparison fields: 5 of 94
- Immunology 283
- Infectious Diseases 139
- Biochemistry 26
- Molecular Biology 278
- Cancer Research 45
Countries citing papers authored by Ryota Ouda
This map shows the geographic impact of Ryota Ouda'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 Ryota Ouda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryota Ouda more than expected).
Fields of papers citing papers by Ryota Ouda
This network shows the impact of papers produced by Ryota Ouda. 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 Ryota Ouda. The network helps show where Ryota Ouda may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryota Ouda, 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 | 2018 | 141 | |
| 2 | 2014 | 130 | |
| 3 | 2021 | 109 | |
| 4 | 2017 | 58 | |
| 5 | 2011 | 48 | |
| 6 | 2018 | 31 | |
| 7 | 2018 | 26 | |
| 8 | 2020 | 25 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 22 | |
| 11 | 2023 | 16 | |
| 12 | 2019 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 2 |
About Ryota Ouda
Ryota Ouda is a scholar working on Immunology, Molecular Biology, Biomedical Engineering, Infectious Diseases and Biotechnology, having authored 16 papers that have together received 662 indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (3 papers), RNA Research and Splicing (3 papers), Cancer-related molecular mechanisms research (2 papers), Lignin and Wood Chemistry (2 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Immunology (283 citations), Infectious Diseases (139 citations), Biochemistry (26 citations), Molecular Biology (278 citations) and Cancer Research (45 citations). Ryota Ouda has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Takashi Fujita, Ji‐Seung Yoo, Koichi S. Kobayashi, Keiko Ozato, Mitsutoshi Yoneyama, Kiyohiro Takahasi, Hiroki Kato, Koji Onomoto, Takashi Watanabe and Hiroshi Nishimura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Journal of Biological Chemistry, ACS Sustainable Chemistry & Engineering and ChemSusChem.
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.