K. Suzuki
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Neuroscience and Neuropharmacology Research 5
-
- Power System Optimization and Stability 2
- Co-authors
- Taisuke Tomita (3 shared papers)Takeshi Iwatsubo (2 shared papers)Satoko Osawa (2 shared papers)Tohru Fukuyama (2 shared papers)Satoshi Yokoshima (2 shared papers)T. Nakajima (3 shared papers)Yukiko Hori (1 shared paper)John Q. Trojanowski (1 shared paper)
- Journals
- IEEE Transactions on Power Delivery (1 paper)Science (1 paper)Journal of Neuroscience (1 paper)Frontiers in Neuroscience (1 paper)Nature Immunology (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
K. Suzuki
18 papers receiving 585 citations
Peers
Comparison fields: 5 of 92
- Neurology 67
- Cellular and Molecular Neuroscience 137
- Physiology 176
- Developmental Neuroscience 27
- Cell Biology 95
Countries citing papers authored by K. Suzuki
This map shows the geographic impact of K. 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 K. Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Suzuki more than expected).
Fields of papers citing papers by K. Suzuki
This network shows the impact of papers produced by K. 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 K. Suzuki. The network helps show where K. Suzuki may publish in the future.
Co-authors
The 25 scholars most cited alongside K. 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 | 2012 | 163 | |
| 2 | 2011 | 154 | |
| 3 | 2016 | 61 | |
| 4 | 2017 | 41 | |
| 5 | 2019 | 33 | |
| 6 | 1996 | 31 | |
| 7 | 1980 | 27 | |
| 8 | 2002 | 23 | |
| 9 | 1998 | 16 | |
| 10 | 2002 | 11 | |
| 11 | 2002 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 1987 | 7 | |
| 14 | 2004 | 7 | |
| 15 | 2002 | 4 | |
| 16 | 2002 | 2 | |
| 17 | 2005 | 2 | |
| 18 | Study on Horizontal - Vertical Interactive SR Model for Basemat Uplift (Part 2: Non-linear Response Analysis and Validation) | 1995 | 1 |
| 19 | 2025 | 0 |
About K. Suzuki
K. Suzuki is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Physiology, Molecular Biology and Control and Systems Engineering, having authored 19 papers that have together received 600 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (2 papers), Magnetic Properties and Applications (2 papers), Microgrid Control and Optimization (2 papers), S100 Proteins and Annexins (2 papers), Power System Optimization and Stability (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Neurology (67 citations), Cellular and Molecular Neuroscience (137 citations), Physiology (176 citations), Developmental Neuroscience (27 citations) and Cell Biology (95 citations). K. Suzuki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Taisuke Tomita, Takeshi Iwatsubo, Satoko Osawa, Tohru Fukuyama, Satoshi Yokoshima, T. Nakajima, Yukiko Hori, John Q. Trojanowski, Nobumasa Takasugi and Virginia M.‐Y. Lee. Their work appears in journals such as IEEE Transactions on Power Delivery, Science, Journal of Neuroscience, Frontiers in Neuroscience and Nature Immunology.
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.