Yasunori Aoki
- Cognitive Neuroscience top 2%
- Psychiatry and Mental health top 5%
- Neurology top 10%
- Cellular and Molecular Neuroscience
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Ryouhei IshiiMasao IwaseLeonides CanuetShunichiro IkedaMasahiro HataMasatoshi TakedaRoberto D. Pascual‐MarquiTakayuki Nakahachi
- Topics
- EEG and Brain-Computer Interfaces (23 papers)Functional Brain Connectivity Studies (22 papers)Neural dynamics and brain function (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- JapanSpainSwitzerland
In The Last Decade
Yasunori Aoki
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 750
- Psychiatry and Mental health 198
- Neurology 112
- Cellular and Molecular Neuroscience 99
- Experimental and Cognitive Psychology 94
Countries citing papers authored by Yasunori Aoki
This map shows the geographic impact of Yasunori 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 Yasunori Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasunori Aoki more than expected).
Fields of papers citing papers by Yasunori Aoki
This network shows the impact of papers produced by Yasunori 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 Yasunori Aoki. The network helps show where Yasunori Aoki may publish in the future.
Co-authorship network of co-authors of Yasunori Aoki
This figure shows the co-authorship network connecting the top 25 collaborators of Yasunori Aoki. A scholar is included among the top collaborators of Yasunori Aoki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasunori Aoki. Yasunori Aoki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 16 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | Assessing reproducibility and utility of clustering of patients with type 2 diabetes and established CV disease (SAVOR -TIMI 53 trial) | 1 |
| 10 | 3 | |
| 11 | 78 | |
| 12 | 164 | |
| 13 | 103 | |
| 14 | 2 | |
| 15 | 13 | |
| 16 | 9 | |
| 17 | 148 | |
| 18 | 43 | |
| 19 | 4 | |
| 20 | 1 |
About Yasunori Aoki
Yasunori Aoki is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (23 papers), Functional Brain Connectivity Studies (22 papers) and Neural dynamics and brain function (16 papers). The work is most often cited by research in Cognitive Neuroscience (750 citations), Psychiatry and Mental health (198 citations) and Neurology (65 citations). Yasunori Aoki has collaborated with scholars based in Japan, Spain and Switzerland. Frequent co-authors include Ryouhei Ishii, Masao Iwase, Leonides Canuet, Shunichiro Ikeda, Masahiro Hata, Masatoshi Takeda, Roberto D. Pascual‐Marqui, Takayuki Nakahachi, Cesare Lombroso and Hidetoshi Takahashi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.