Takeshi Kaneda
- Cognitive Neuroscience top 5%
- Cardiology and Cardiovascular Medicine
- Social Psychology
- Experimental and Cognitive Psychology
- Psychiatry and Mental health
- Co-authors
- Yoshiaki NishihiraTetsuo KidaArihiro HattaKeita KamijoKazuo KuroiwaToshiaki WasakaTakuro HigashiuraToshiki Tazoe
- Topics
- Neural and Behavioral Psychology Studies (9 papers)EEG and Brain-Computer Interfaces (7 papers)Motor Control and Adaptation (6 papers)
- Partner nations
- Japan
In The Last Decade
Takeshi Kaneda
17 papers receiving 525 citations
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 336
- Cardiology and Cardiovascular Medicine 138
- Social Psychology 75
- Experimental and Cognitive Psychology 64
- Psychiatry and Mental health 55
Countries citing papers authored by Takeshi Kaneda
This map shows the geographic impact of Takeshi Kaneda'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 Takeshi Kaneda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Kaneda more than expected).
Fields of papers citing papers by Takeshi Kaneda
This network shows the impact of papers produced by Takeshi Kaneda. 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 Takeshi Kaneda. The network helps show where Takeshi Kaneda may publish in the future.
Co-authorship network of co-authors of Takeshi Kaneda
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Kaneda. A scholar is included among the top collaborators of Takeshi Kaneda 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 Takeshi Kaneda. Takeshi Kaneda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Somatic-motor Regulation Just before an Imperative Signal | 0 |
| 3 | 27 | |
| 4 | 16 | |
| 5 | 22 | |
| 6 | The Interactive Effects of Exercise Intensity and Duration on Cognitive Processing in the Central Nervous System | 8 |
| 7 | Effects of Habitual Moderate Exercise on Response Processing and Cognitive Processing in Older Adults | 8 |
| 8 | 34 | |
| 9 | 133 | |
| 10 | 63 | |
| 11 | 190 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | Effect of Whole Body Vibration Stimulus and Voluntary Contraction on Motoneuron Pool | 25 |
| 15 | 0 | |
| 16 | (Originals)Influence of Pre-contraction of an Agonist Muscle on Readiness Potential(RP) | 1 |
| 17 | 5 | |
| 18 | P300 Before and Affer Transient Hard Exercise | 2 |
| 19 | 8 |
About Takeshi Kaneda
Takeshi Kaneda is a scholar working on Cognitive Neuroscience, Orthopedics and Sports Medicine and Neurology, having authored 19 papers that have together received 548 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (9 papers), EEG and Brain-Computer Interfaces (7 papers) and Motor Control and Adaptation (6 papers). The work is most often cited by research in Cognitive Neuroscience (336 citations), Applied Psychology (48 citations) and Cardiology and Cardiovascular Medicine (138 citations). Takeshi Kaneda has collaborated with scholars based in Japan. Frequent co-authors include Yoshiaki Nishihira, Tetsuo Kida, Arihiro Hatta, Keita Kamijo, Kazuo Kuroiwa, Toshiaki Wasaka, Takuro Higashiura, Toshiki Tazoe, Hiroki Nakata and Masanori Sakamoto. Their work appears in journals such as Experimental Brain Research, Clinical Neurophysiology and European Journal of Applied Physiology.
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.