Yusuke Nishimura
Impact in
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- Muscle metabolism and nutrition
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- Nutrition and Health in Aging
Papers in
- Cell Biology 10
- Muscle metabolism and nutrition 8
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- Muscle Physiology and Disorders 7
- Co-authors
- Lars Holm (5 shared papers)Leigh Breen (4 shared papers)Toshihiro Moriga (2 shared papers)Ichiro Nakabayashi (2 shared papers)Kikuo Tominaga (2 shared papers)Kei‐ichiro Murai (2 shared papers)Ruth K. Globus (2 shared papers)Urszula T. Iwaniec (2 shared papers)
- Journals
- American Journal of Physiology-Cell Physiology (3 papers)The FASEB Journal (2 papers)Nutrients (2 papers)Molecular & Cellular Proteomics (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Yusuke Nishimura
19 papers receiving 284 citations
Peers
Comparison fields: 5 of 62
- Cell Biology 81
- Physiology 77
- Immunology and Allergy 17
- Rehabilitation 16
- Orthopedics and Sports Medicine 20
Countries citing papers authored by Yusuke Nishimura
This map shows the geographic impact of Yusuke Nishimura'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 Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Nishimura more than expected).
Fields of papers citing papers by Yusuke Nishimura
This network shows the impact of papers produced by Yusuke Nishimura. 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 Nishimura. The network helps show where Yusuke Nishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusuke Nishimura, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 55 | |
| 2 | 2005 | 30 | |
| 3 | 2020 | 30 | |
| 4 | 2004 | 26 | |
| 5 | 2003 | 26 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 15 | |
| 8 | 2020 | 13 | |
| 9 | 2005 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2018 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 4 | |
| 16 | 2006 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2025 | 0 |
About Yusuke Nishimura
Yusuke Nishimura is a scholar working on Cell Biology, Molecular Biology, Physiology, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 292 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (8 papers), Muscle Physiology and Disorders (7 papers), ZnO doping and properties (3 papers), Nutrition and Health in Aging (2 papers), Genetic Neurodegenerative Diseases (2 papers), Ga2O3 and related materials (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Sports Performance and Training (2 papers). The work is most often cited by research in Cell Biology (81 citations), Physiology (77 citations), Immunology and Allergy (17 citations), Rehabilitation (16 citations) and Orthopedics and Sports Medicine (20 citations). Yusuke Nishimura has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Lars Holm, Leigh Breen, Toshihiro Moriga, Ichiro Nakabayashi, Kikuo Tominaga, Kei‐ichiro Murai, Ruth K. Globus, Urszula T. Iwaniec, Grith Højfeldt and Thomas J. Wronski. Their work appears in journals such as American Journal of Physiology-Cell Physiology, The FASEB Journal, Nutrients, Molecular & Cellular Proteomics and PROTEOMICS - CLINICAL APPLICATIONS.
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.