Yu Okuda
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
-
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- interferon and immune responses
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Genetics 10
- Genetic and phenotypic traits in livestock 7
- Genetic Mapping and Diversity in Plants and Animals 6
- Genetic diversity and population structure 2
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- Genomics, phytochemicals, and oxidative stress 2
- Co-authors
- Tomoya Yamada (5 shared papers)Masahiko Kushida (4 shared papers)Brian G. Lake (4 shared papers)Jun Miyoshi (1 shared paper)Masaru Okabe (1 shared paper)Takashi Akazawa (1 shared paper)Miki Tanaka (1 shared paper)Kunio Tsujimura (1 shared paper)
- Journals
- Toxicological Sciences (3 papers)Animal Science Journal (3 papers)Advanced Robotics (1 paper)Journal of Biochemical and Molecular Toxicology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- JapanVietnamUnited Kingdom
In The Last Decade
Yu Okuda
16 papers receiving 310 citations
Peers
Comparison fields: 5 of 50
- Pharmacology 78
- Immunology 148
- Equine 8
- Biochemistry 34
- Cancer Research 50
Countries citing papers authored by Yu Okuda
This map shows the geographic impact of Yu Okuda'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 Yu Okuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Okuda more than expected).
Fields of papers citing papers by Yu Okuda
This network shows the impact of papers produced by Yu Okuda. 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 Yu Okuda. The network helps show where Yu Okuda may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Okuda, 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 | 2006 | 155 | |
| 2 | 2014 | 61 | |
| 3 | 2017 | 23 | |
| 4 | 2017 | 17 | |
| 5 | 2017 | 14 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 5 | |
| 9 | 2016 | 4 | |
| 10 | 2018 | 3 | |
| 11 | 2018 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2016 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2021 | 0 |
About Yu Okuda
Yu Okuda is a scholar working on Genetics, Molecular Biology, Pharmacology, Agronomy and Crop Science and Biochemistry, having authored 17 papers that have together received 315 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Pharmacogenetics and Drug Metabolism (4 papers), Livestock Farming and Management (2 papers), Genetic diversity and population structure (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Veterinary Equine Medical Research (2 papers). The work is most often cited by research in Pharmacology (78 citations), Immunology (148 citations), Equine (8 citations), Biochemistry (34 citations) and Cancer Research (50 citations). Yu Okuda has collaborated with scholars based in Japan, Vietnam and United Kingdom. Frequent co-authors include Tomoya Yamada, Masahiko Kushida, Brian G. Lake, Jun Miyoshi, Masaru Okabe, Takashi Akazawa, Miki Tanaka, Kunio Tsujimura, Norimitsu Inoue and Masashi Shingai. Their work appears in journals such as Toxicological Sciences, Animal Science Journal, Advanced Robotics, Journal of Biochemical and Molecular Toxicology and Proceedings of the National Academy of Sciences.
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.