Ayaka Suzuki
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Aldose Reductase and Taurine
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Nerve injury and regeneration 2
- Co-authors
- Hiroko Baba (6 shared papers)Akiko Hayashi (5 shared papers)Tomoko Ishibashi (3 shared papers)Yoshihide Yamaguchi (3 shared papers)Tasuku Komanoya (1 shared paper)Masahiko Hara (1 shared paper)Kiyotaka Nakajima (1 shared paper)Keigo Kamata (1 shared paper)
- Journals
- Glia (3 papers)ChemCatChem (1 paper)Journal of Clinical Biochemistry and Nutrition (1 paper)Chemico-Biological Interactions (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Ayaka Suzuki
30 papers receiving 458 citations
Peers
Comparison fields: 5 of 100
- Developmental Neuroscience 67
- Cell Biology 78
- Cellular and Molecular Neuroscience 81
- Neurology 29
- Process Chemistry and Technology 10
Countries citing papers authored by Ayaka Suzuki
This map shows the geographic impact of Ayaka 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 Ayaka Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayaka Suzuki more than expected).
Fields of papers citing papers by Ayaka Suzuki
This network shows the impact of papers produced by Ayaka 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 Ayaka Suzuki. The network helps show where Ayaka Suzuki may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayaka 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 65 | |
| 2 | 2016 | 52 | |
| 3 | 2007 | 41 | |
| 4 | 2014 | 37 | |
| 5 | 2016 | 36 | |
| 6 | 2019 | 29 | |
| 7 | 2004 | 26 | |
| 8 | 2010 | 22 | |
| 9 | 2005 | 22 | |
| 10 | 2015 | 22 | |
| 11 | 2014 | 19 | |
| 12 | 2018 | 19 | |
| 13 | 2007 | 12 | |
| 14 | 2019 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2019 | 6 | |
| 18 | 2011 | 6 | |
| 19 | 2021 | 4 | |
| 20 | 2020 | 3 |
About Ayaka Suzuki
Ayaka Suzuki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computational Mechanics, Developmental Neuroscience and Biomedical Engineering, having authored 34 papers that have together received 465 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Fatigue and fracture mechanics (3 papers), Aldose Reductase and Taurine (3 papers), Nerve injury and regeneration (2 papers), Topic Modeling (2 papers), Immune Response and Inflammation (2 papers) and Numerical methods in engineering (2 papers). The work is most often cited by research in Developmental Neuroscience (67 citations), Cell Biology (78 citations), Cellular and Molecular Neuroscience (81 citations), Neurology (29 citations) and Process Chemistry and Technology (10 citations). Ayaka Suzuki has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hiroko Baba, Akiko Hayashi, Tomoko Ishibashi, Yoshihide Yamaguchi, Tasuku Komanoya, Masahiko Hara, Kiyotaka Nakajima, Keigo Kamata, Masaaki Kitano and Kazuhiro Iguchi. Their work appears in journals such as Glia, ChemCatChem, Journal of Clinical Biochemistry and Nutrition, Chemico-Biological Interactions and Journal of Neuroscience.
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.