Ryo Aoki
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Cellular transport and secretion
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neural dynamics and brain function 9
- Visual perception and processing mechanisms 4
- Co-authors
- Takashi Tsuboi (7 shared papers)Hitoshi Okamoto (8 shared papers)Kazumitsu Ueda (5 shared papers)Noriyuki Kioka (5 shared papers)Yuika Ikeda (5 shared papers)Sumiko Abe-Dohmae (4 shared papers)Teruo Amachi (4 shared papers)Andrea Benucci (6 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (5 papers)Neuron (3 papers)Nature Communications (3 papers)Bioscience Biotechnology and Biochemistry (2 papers)Cell Reports (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Ryo Aoki
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Cell Biology 299
- Cellular and Molecular Neuroscience 193
- Developmental Neuroscience 40
- Cognitive Neuroscience 196
- Oncology 235
Countries citing papers authored by Ryo Aoki
This map shows the geographic impact of Ryo Aoki'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 Ryo Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Aoki more than expected).
Fields of papers citing papers by Ryo Aoki
This network shows the impact of papers produced by Ryo Aoki. 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 Ryo Aoki. The network helps show where Ryo Aoki may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryo Aoki, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 152 | |
| 2 | 2003 | 124 | |
| 3 | 2001 | 85 | |
| 4 | 2013 | 82 | |
| 5 | 2011 | 78 | |
| 6 | 2016 | 67 | |
| 7 | 2002 | 60 | |
| 8 | 2003 | 60 | |
| 9 | 2017 | 47 | |
| 10 | 2014 | 43 | |
| 11 | 2005 | 39 | |
| 12 | 2010 | 37 | |
| 13 | 2009 | 36 | |
| 14 | 2020 | 31 | |
| 15 | 2013 | 28 | |
| 16 | 2008 | 27 | |
| 17 | 2016 | 26 | |
| 18 | 2010 | 25 | |
| 19 | 2008 | 25 | |
| 20 | 2011 | 25 |
About Ryo Aoki
Ryo Aoki is a scholar working on Molecular Biology, Cognitive Neuroscience, Cell Biology, Cellular and Molecular Neuroscience and Surgery, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Zebrafish Biomedical Research Applications (7 papers), Cholesterol and Lipid Metabolism (6 papers), Parallel Computing and Optimization Techniques (5 papers), Distributed and Parallel Computing Systems (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Sleep and related disorders (4 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Cell Biology (299 citations), Cellular and Molecular Neuroscience (193 citations), Developmental Neuroscience (40 citations), Cognitive Neuroscience (196 citations) and Oncology (235 citations). Ryo Aoki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Takashi Tsuboi, Hitoshi Okamoto, Kazumitsu Ueda, Noriyuki Kioka, Yuika Ikeda, Sumiko Abe-Dohmae, Teruo Amachi, Andrea Benucci, Tazu Aoki and Masakazu Agetsuma. Their work appears in journals such as Biochemical and Biophysical Research Communications, Neuron, Nature Communications, Bioscience Biotechnology and Biochemistry and Cell Reports.
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.