Toshio Tsuji
- Biomedical Engineering top 0.5%
- Cognitive Neuroscience top 0.5%
- Control and Systems Engineering top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Mechanical Engineering top 5%
- Co-authors
- Makoto KanekoOsamu FukudaYoshiyuki TanakaKoji ItoPietro MorassoAkira OtsukaKazuhiro GotoNan Bu
- Topics
- Muscle activation and electromyography studies (157 papers)Robot Manipulation and Learning (104 papers)EEG and Brain-Computer Interfaces (88 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Toshio Tsuji
477 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 173
- Biomedical Engineering 2.9k
- Cognitive Neuroscience 2.2k
- Control and Systems Engineering 1.2k
- Cellular and Molecular Neuroscience 566
- Mechanical Engineering 559
Countries citing papers authored by Toshio Tsuji
This map shows the geographic impact of Toshio Tsuji'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 Toshio Tsuji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshio Tsuji more than expected).
Fields of papers citing papers by Toshio Tsuji
This network shows the impact of papers produced by Toshio Tsuji. 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 Toshio Tsuji. The network helps show where Toshio Tsuji may publish in the future.
Co-authorship network of co-authors of Toshio Tsuji
This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Tsuji. A scholar is included among the top collaborators of Toshio Tsuji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Toshio Tsuji. Toshio Tsuji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | Differences in Bone Mineral Density between the Dominant and Non-dominant hand sides of extremities in high school sports players | 1 |
| 18 | A Whisker Tracing Sensor with 5µm Sensitivity. | 2 |
| 19 | 5 | |
| 20 | 13 |
About Toshio Tsuji
Toshio Tsuji is a scholar working on Cognitive Neuroscience, Aging and Control and Systems Engineering, having authored 519 papers that have together received 5.8k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (157 papers), Robot Manipulation and Learning (104 papers) and EEG and Brain-Computer Interfaces (88 papers). The work is most often cited by research in Cognitive Neuroscience (2.2k citations), Human-Computer Interaction (517 citations) and Endocrinology (357 citations). Toshio Tsuji has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Makoto Kaneko, Osamu Fukuda, Yoshiyuki Tanaka, Koji Ito, Pietro Morasso, Akira Otsuka, Kazuhiro Goto, Nan Bu, T Miwatani and Takuya Honda. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.