Toshimune Kambara
- Cognitive Neuroscience top 5%
- Neural and Behavioral Psychology Studies 10
- Neurobiology of Language and Bilingualism 8
- Face Recognition and Perception 7
- Memory Processes and Influences 7
- EEG and Brain-Computer Interfaces 6
- Bioengineering top 5%
- Analytical Chemistry and Sensors 10
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- Multisensory perception and integration 7
- Electrochemistry top 5%
- Electrochemical Analysis and Applications 8
- Co-authors
- Ryuta KawashimaTakashi TsukiuraYayoi ShigemuneAtsushi SekiguchiEishi AsanoRui NouchiYasuo NakaiHikaru Takeuchi
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Toshimune Kambara
51 papers receiving 820 citations
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 485
- Bioengineering 87
- Experimental and Cognitive Psychology 199
- Electrochemistry 86
- Developmental and Educational Psychology 116
Countries citing papers authored by Toshimune Kambara
This map shows the geographic impact of Toshimune Kambara'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 Toshimune Kambara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshimune Kambara more than expected).
Fields of papers citing papers by Toshimune Kambara
This network shows the impact of papers produced by Toshimune Kambara. 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 Toshimune Kambara. The network helps show where Toshimune Kambara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toshimune Kambara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 13 | |
| 2 | 2023 | 4 | |
| 3 | Associative learning of new word forms in a first language and haptic features in a single-day experiment | 2021 | 1 |
| 4 | 2021 | 9 | |
| 5 | 2021 | 13 | |
| 6 | 2020 | 5 | |
| 7 | 2019 | 15 | |
| 8 | 2018 | 24 | |
| 9 | 2017 | 34 | |
| 10 | 2017 | 26 | |
| 11 | 2013 | 173 | |
| 12 | 2013 | 12 | |
| 13 | 2013 | 16 | |
| 14 | 2013 | 71 | |
| 15 | 2012 | 19 | |
| 16 | 1984 | 10 | |
| 17 | 1983 | 14 | |
| 18 | 1981 | 4 | |
| 19 | [Studies on the assay condition of serum guanase activity using the direct colorimetric determination of ammonia (author's transl)]. | 1975 | 1 |
| 20 | 1972 | 2 |
About Toshimune Kambara
Toshimune Kambara is a scholar working on Bioengineering, Cognitive Neuroscience and Electrochemistry, having authored 54 papers that have together received 860 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (10 papers), Neural and Behavioral Psychology Studies (10 papers), Electrochemical Analysis and Applications (8 papers), Neurobiology of Language and Bilingualism (8 papers), Multisensory perception and integration (7 papers), Face Recognition and Perception (7 papers), Memory Processes and Influences (7 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Cognitive Neuroscience (485 citations), Bioengineering (87 citations) and Experimental and Cognitive Psychology (199 citations). Toshimune Kambara has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Ryuta Kawashima, Takashi Tsukiura, Yayoi Shigemune, Atsushi Sekiguchi, Eishi Asano, Rui Nouchi, Yasuo Nakai, Hikaru Takeuchi, Yasuyuki Taki and Erik C. Brown. Their work appears in journals such as PLoS ONE, NeuroImage and Brain.
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.