Tadashi Masuda
- Biomedical Engineering top 2%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Orthopedics and Sports Medicine top 1%
- Molecular Biology
- Co-authors
- Tsugutake SadoyamaHisao MiyanoHideki HidaK. MasudaShigeru KatsutaMitsuharu InakiHitoo NishinoSadao Morita
- Topics
- Muscle activation and electromyography studies (38 papers)Advanced Sensor and Energy Harvesting Materials (19 papers)Neuroscience and Neural Engineering (16 papers)
- Cited by
- Orthopedics and Sports MedicineDevelopmental NeuroscienceCellular and Molecular Neuroscience
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Tadashi Masuda
113 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 148
- Biomedical Engineering 1.3k
- Cellular and Molecular Neuroscience 551
- Cognitive Neuroscience 509
- Orthopedics and Sports Medicine 475
- Molecular Biology 329
Countries citing papers authored by Tadashi Masuda
This map shows the geographic impact of Tadashi Masuda'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 Tadashi Masuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Masuda more than expected).
Fields of papers citing papers by Tadashi Masuda
This network shows the impact of papers produced by Tadashi Masuda. 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 Tadashi Masuda. The network helps show where Tadashi Masuda may publish in the future.
Co-authorship network of co-authors of Tadashi Masuda
This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Masuda. A scholar is included among the top collaborators of Tadashi Masuda 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 Tadashi Masuda. Tadashi Masuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 31 | |
| 3 | 21 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 12 | |
| 8 | 42 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 146 | |
| 16 | 14 | |
| 17 | 271 | |
| 18 | 13 | |
| 19 | 3 | |
| 20 | 12 |
About Tadashi Masuda
Tadashi Masuda is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine and Cellular and Molecular Neuroscience, having authored 116 papers that have together received 2.9k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (38 papers), Advanced Sensor and Energy Harvesting Materials (19 papers) and Neuroscience and Neural Engineering (16 papers). The work is most often cited by research in Orthopedics and Sports Medicine (475 citations), Developmental Neuroscience (147 citations) and Cellular and Molecular Neuroscience (551 citations). Tadashi Masuda has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Tsugutake Sadoyama, Hisao Miyano, Hideki Hida, K. Masuda, Shigeru Katsuta, Mitsuharu Inaki, Hitoo Nishino, Sadao Morita, Tsukasa Watanabe and Hiroyuki Fujimoto. Their work appears in journals such as Brain, Brain Research and Progress in Neurobiology.
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.