Yosuke Ikegami
Impact in
- Sensory Systems top 10%
- Ion Channels and Receptors
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- Sports injuries and prevention
Papers in
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- Prosthetics and Rehabilitation Robotics 5
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- Human Motion and Animation 5
- Robot Manipulation and Learning 3
- Co-authors
- Yoshihiko Nakamura (18 shared papers)Kenjiro Kohri (4 shared papers)Takuya Ohashi (2 shared papers)Takahiro Yamada (1 shared paper)Masaki Saito (1 shared paper)Yusuke Ishida (1 shared paper)Yasuhiro Shibata (1 shared paper)Shinya Ugawa (1 shared paper)
- Journals
- BMC Urology (2 papers)Mechanism and Machine Theory (1 paper)Image and Vision Computing (1 paper)Orthopaedic Journal of Sports Medicine (1 paper)Journal of Vascular Surgery (1 paper)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Yosuke Ikegami
27 papers receiving 273 citations
Peers
Comparison fields: 5 of 75
- Sensory Systems 47
- Orthopedics and Sports Medicine 24
- Urology 17
- Biochemistry 15
- Physical Therapy, Sports Therapy and Rehabilitation 9
Countries citing papers authored by Yosuke Ikegami
This map shows the geographic impact of Yosuke Ikegami'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 Yosuke Ikegami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yosuke Ikegami more than expected).
Fields of papers citing papers by Yosuke Ikegami
This network shows the impact of papers produced by Yosuke Ikegami. 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 Yosuke Ikegami. The network helps show where Yosuke Ikegami may publish in the future.
Co-authors
The 25 scholars most cited alongside Yosuke Ikegami, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 78 | |
| 2 | 2018 | 22 | |
| 3 | 1999 | 20 | |
| 4 | 2020 | 19 | |
| 5 | 2020 | 18 | |
| 6 | 2021 | 15 | |
| 7 | 2014 | 15 | |
| 8 | 2008 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 2011 | 11 | |
| 11 | 2016 | 11 | |
| 12 | 2009 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 4 | |
| 15 | 2008 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2022 | 2 |
About Yosuke Ikegami
Yosuke Ikegami is a scholar working on Biomedical Engineering, Control and Systems Engineering, Surgery, Urology and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 280 indexed citations. Recurring topics across this work include Human Motion and Animation (5 papers), Sports Performance and Training (5 papers), Advanced Vision and Imaging (5 papers), Prosthetics and Rehabilitation Robotics (5 papers), Human Pose and Action Recognition (4 papers), Robot Manipulation and Learning (3 papers), Winter Sports Injuries and Performance (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Sensory Systems (47 citations), Orthopedics and Sports Medicine (24 citations), Urology (17 citations), Biochemistry (15 citations) and Physical Therapy, Sports Therapy and Rehabilitation (9 citations). Yosuke Ikegami has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Yoshihiko Nakamura, Kenjiro Kohri, Takuya Ohashi, Takahiro Yamada, Masaki Saito, Yusuke Ishida, Yasuhiro Shibata, Shinya Ugawa, Takashi Ueda and Shoichi Shimada. Their work appears in journals such as BMC Urology, Mechanism and Machine Theory, Image and Vision Computing, Orthopaedic Journal of Sports Medicine and Journal of Vascular Surgery.
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.