Manabu Honda
- Cognitive Neuroscience top 0.2%
- Neurology top 0.2%
- Neurology top 1%
- Experimental and Cognitive Psychology top 1%
- Biomedical Engineering top 5%
- Co-authors
- Norihiro SadatoTakashi HanakawaHidenao FukuyamaHiroshi ShibasakiTomohisa OkadaMark HallettSatoshi TanakaYoshiharu Yonekura
- Topics
- EEG and Brain-Computer Interfaces (28 papers)Transcranial Magnetic Stimulation Studies (26 papers)Motor Control and Adaptation (23 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Manabu Honda
141 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Cognitive Neuroscience 5.3k
- Neurology 1.8k
- Neurology 1.1k
- Experimental and Cognitive Psychology 1.0k
- Biomedical Engineering 927
Countries citing papers authored by Manabu Honda
This map shows the geographic impact of Manabu Honda'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 Manabu Honda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manabu Honda more than expected).
Fields of papers citing papers by Manabu Honda
This network shows the impact of papers produced by Manabu Honda. 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 Manabu Honda. The network helps show where Manabu Honda may publish in the future.
Co-authorship network of co-authors of Manabu Honda
This figure shows the co-authorship network connecting the top 25 collaborators of Manabu Honda. A scholar is included among the top collaborators of Manabu Honda 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 Manabu Honda. Manabu Honda 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 | 17 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 46 | |
| 6 | 118 | |
| 7 | 28 | |
| 8 | 41 | |
| 9 | 105 | |
| 10 | 59 | |
| 11 | 65 | |
| 12 | 22 | |
| 13 | Functional relevance of cross-modal plasticity in blind humansbreakdown → | 643 |
| 14 | 13 | |
| 15 | 1 | |
| 16 | Evaluation of Physiological Fluctuation of Peak Latency of Single Sweep P300. | 2 |
| 17 | A New Method for Single Trial Recording of Event-Related Potential Using Second Order Model with Time Lags | 1 |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 0 |
About Manabu Honda
Manabu Honda is a scholar working on Cognitive Neuroscience, Neurology and Experimental and Cognitive Psychology, having authored 147 papers that have together received 7.7k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (28 papers), Transcranial Magnetic Stimulation Studies (26 papers) and Motor Control and Adaptation (23 papers). The work is most often cited by research in Cognitive Neuroscience (5.3k citations), Neurology (1.8k citations) and Experimental and Cognitive Psychology (1.0k citations). Manabu Honda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Norihiro Sadato, Takashi Hanakawa, Hidenao Fukuyama, Hiroshi Shibasaki, Tomohisa Okada, Mark Hallett, Satoshi Tanaka, Yoshiharu Yonekura, Marie‐Pierre Deiber and Takashi Nagamine. Their work appears in journals such as Nature, Journal of Neuroscience 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.