Yusuke V. Morimoto
- Endocrinology top 2%
- Structural Biology top 5%
- Genetics top 2%
- Bacterial Genetics and Biotechnology 36
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior 25
- Photosynthetic Processes and Mechanisms 7
- Ecology top 5%
- Bacteriophages and microbial interactions 17
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- Knee injuries and reconstruction techniques 6
- Total Knee Arthroplasty Outcomes 6
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- Cellular Mechanics and Interactions 6
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- Sports injuries and prevention 6
- Co-authors
- Tohru MinaminoKeiichi NambaShuichi NakamuraNobunori Kami‐ikeNoritaka HaraMiki KinoshitaAkihiro KawamotoFreddie H. Fu
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yusuke V. Morimoto
79 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 130
- Endocrinology 280
- Structural Biology 70
- Genetics 1.0k
- Molecular Biology 1.2k
- Ecology 449
Countries citing papers authored by Yusuke V. Morimoto
This map shows the geographic impact of Yusuke V. Morimoto'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 Yusuke V. Morimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke V. Morimoto more than expected).
Fields of papers citing papers by Yusuke V. Morimoto
This network shows the impact of papers produced by Yusuke V. Morimoto. 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 Yusuke V. Morimoto. The network helps show where Yusuke V. Morimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yusuke V. Morimoto, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 12 | |
| 11 | 2018 | 41 | |
| 12 | 2018 | 20 | |
| 13 | 2018 | 29 | |
| 14 | 2017 | 33 | |
| 15 | 2017 | 23 | |
| 16 | 2016 | 45 | |
| 17 | 2014 | 82 | |
| 18 | 2014 | 1 | |
| 19 | 2011 | 83 | |
| 20 | Concentration of Biologically Important Chemical Species in Hydrothermal Fluids from Submarine Arc Volcano Suiyo Seamount | 2002 | 2 |
About Yusuke V. Morimoto
Yusuke V. Morimoto is a scholar working on Genetics, Endocrinology and Orthopedics and Sports Medicine, having authored 86 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (36 papers), Lipid Membrane Structure and Behavior (25 papers), Bacteriophages and microbial interactions (17 papers), Photosynthetic Processes and Mechanisms (7 papers), Knee injuries and reconstruction techniques (6 papers), Cellular Mechanics and Interactions (6 papers), Total Knee Arthroplasty Outcomes (6 papers) and Sports injuries and prevention (6 papers). The work is most often cited by research in Endocrinology (280 citations), Structural Biology (70 citations) and Genetics (1.0k citations). Yusuke V. Morimoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tohru Minamino, Keiichi Namba, Shuichi Nakamura, Nobunori Kami‐ike, Noritaka Hara, Miki Kinoshita, Akihiro Kawamoto, Freddie H. Fu, Yong‐Suk Che and Tomoko Miyata. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.