Yusuke Nishimura
Impact in
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- Spinal Cord Injury Research
Papers in
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- Renal and related cancers 6
- Pluripotent Stem Cells Research 4
- Surgery 5
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Tetsuya Yamamoto (1 shared paper)Hideto Yoshida (1 shared paper)Kunihiro Fukui (1 shared paper)Jian Wang (1 shared paper)Motoyuki Iwasaki (1 shared paper)Michael G. Fehlings (1 shared paper)Yang Liu (1 shared paper)Jared T. Wilcox (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Journal of Artificial Organs (2 papers)Stem Cells (2 papers)Surgical Endoscopy (1 paper)Human Cell (1 paper)
- Partner nations
- JapanUnited StatesNigeria
In The Last Decade
Yusuke Nishimura
34 papers receiving 395 citations
Peers
Comparison fields: 5 of 90
- Developmental Neuroscience 20
- Pathology and Forensic Medicine 50
- Biomaterials 39
- Cellular and Molecular Neuroscience 52
- Computational Mechanics 56
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 76 | |
| 2 | 2010 | 54 | |
| 3 | 2014 | 36 | |
| 4 | 2023 | 25 | |
| 5 | 2006 | 24 | |
| 6 | 1991 | 18 | |
| 7 | 2016 | 16 | |
| 8 | 2010 | 14 | |
| 9 | 1987 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2022 | 9 | |
| 12 | 2009 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2021 | 5 |
About Yusuke Nishimura
Yusuke Nishimura is a scholar working on Molecular Biology, Surgery, Control and Systems Engineering, Computer Vision and Pattern Recognition and Genetics, having authored 39 papers that have together received 406 indexed citations. Recurring topics across this work include Renal and related cancers (6 papers), Pluripotent Stem Cells Research (4 papers), Human Motion and Animation (3 papers), Human Pose and Action Recognition (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Renal cell carcinoma treatment (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). The work is most often cited by research in Developmental Neuroscience (20 citations), Pathology and Forensic Medicine (50 citations), Biomaterials (39 citations), Cellular and Molecular Neuroscience (52 citations) and Computational Mechanics (56 citations). Yusuke Nishimura has collaborated with scholars based in Japan, United States and Nigeria. Frequent co-authors include Tetsuya Yamamoto, Hideto Yoshida, Kunihiro Fukui, Jian Wang, Motoyuki Iwasaki, Michael G. Fehlings, Yang Liu, Jared T. Wilcox, Klaus Zweckberger and Hidenori Suzuki. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Artificial Organs, Stem Cells, Surgical Endoscopy and Human Cell.
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.