Ikurou Suzuki
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep 3
- Neurology top 10%
- Vestibular and auditory disorders 3
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- Neuroscience and Neural Engineering 7
- Photoreceptor and optogenetics research 3
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 5
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- Medicinal Plants and Neuroprotection 2
- Nigella sativa pharmacological applications 2
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- 3D Printing in Biomedical Research 4
- Co-authors
- Kenji YasudaVictor J. WilsonYasuhiko JimboYoshihiro SugioR. H. SchorAlan D. MillerKazuhisa EzureS. J. Timerick
- Journals
- Journal of Neurophysiology (4 papers)Biochemical and Biophysical Research Communications (1 paper)Lab on a Chip (1 paper)
- Partner nations
- JapanUnited StatesSaudi Arabia
In The Last Decade
Ikurou Suzuki
16 papers receiving 544 citations
Peers
Comparison fields: 5 of 85
- Endocrine and Autonomic Systems 90
- Neurology 97
- Cellular and Molecular Neuroscience 193
- Cognitive Neuroscience 146
- Complementary and alternative medicine 53
Countries citing papers authored by Ikurou Suzuki
This map shows the geographic impact of Ikurou Suzuki'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 Ikurou Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikurou Suzuki more than expected).
Fields of papers citing papers by Ikurou Suzuki
This network shows the impact of papers produced by Ikurou Suzuki. 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 Ikurou Suzuki. The network helps show where Ikurou Suzuki may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Ikurou Suzuki, 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 | 2019 | 25 | |
| 2 | 2013 | 41 | |
| 3 | 2007 | 29 | |
| 4 | 2007 | 4 | |
| 5 | 2007 | 11 | |
| 6 | 2004 | 81 | |
| 7 | 2004 | 43 | |
| 8 | 2004 | 74 | |
| 9 | 2004 | 31 | |
| 10 | 2004 | 1 | |
| 11 | 1999 | 1 | |
| 12 | 1986 | 35 | |
| 13 | 1986 | 64 | |
| 14 | 1985 | 45 | |
| 15 | 1985 | 74 | |
| 16 | 1982 | 1 |
About Ikurou Suzuki
Ikurou Suzuki is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Neurology, having authored 16 papers that have together received 560 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (7 papers), Neural dynamics and brain function (5 papers), 3D Printing in Biomedical Research (4 papers), Photoreceptor and optogenetics research (3 papers), Vestibular and auditory disorders (3 papers), Neuroscience of respiration and sleep (3 papers), Medicinal Plants and Neuroprotection (2 papers) and Nigella sativa pharmacological applications (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (90 citations), Neurology (97 citations) and Cellular and Molecular Neuroscience (193 citations). Ikurou Suzuki has collaborated with scholars based in Japan, United States and Saudi Arabia. Frequent co-authors include Kenji Yasuda, Victor J. Wilson, Yasuhiko Jimbo, Yoshihiro Sugio, R. H. Schor, Alan D. Miller, Kazuhisa Ezure, S. J. Timerick, Aoi Odawara and Akihiro Hattori. Their work appears in journals such as Journal of Neurophysiology, Biochemical and Biophysical Research Communications and Lab on a Chip.
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.