Ryo Aoki

1.7k citations
52 papers · 1.3k · h-index 21

Impact in

Papers in

Ryo Aoki

47 papers receiving 1.2k citations

Peers

Ryo Aoki
Comparison fields: 5 of 120
  • Cell Biology 300
  • Cellular and Molecular Neuroscience 195
  • Cognitive Neuroscience 202
  • Developmental Neuroscience 39
  • Oncology 235
Replace Daniele Di Marino with:
Daniele Di Marino Italy
Shuyu Wang China
Yun-Fei Lu Japan
Emily Anne Bates United States
Weiwei Zhong United States
Elena M. Maksimova United States
Ji Eun Lee South Korea
Huan Bao United States
Hirofumi Toda Japan
Siniša Hrvatin United States
Ryo Aoki relative to Daniele Di Marino Italy Daniele Di Marino's profile →
Citations per field
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Daniele Di Marino · 1×
Citations per year

Countries citing papers authored by Ryo Aoki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ryo Aoki Line = papers co-authored together Ryo Aoki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014155
2 2003124
3 200185
4 201384
5 201177
6 201668
7 200362
8 200259
9 201744
10 201442
11 200540
12 200936
13 201036
14 202033
15 201328
16 200827
17 201627
18 200825
19 201025
20 201125

About Ryo Aoki

Ryo Aoki is a scholar working on Cognitive Neuroscience, Cell Biology, Cellular and Molecular Neuroscience, Hardware and Architecture and Molecular Biology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Zebrafish Biomedical Research Applications (7 papers), Cholesterol and Lipid Metabolism (6 papers), Parallel Computing and Optimization Techniques (5 papers), Visual perception and processing mechanisms (4 papers), Distributed and Parallel Computing Systems (4 papers), Sleep and related disorders (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Cell Biology (300 citations), Cellular and Molecular Neuroscience (195 citations), Cognitive Neuroscience (202 citations), Developmental Neuroscience (39 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, Teruo Amachi, Sumiko Abe-Dohmae, Andrea Benucci, Masakazu Agetsuma and Tazu Aoki. Their work appears in journals such as Biochemical and Biophysical Research Communications, Neuron, Nature Communications, Bioscience Biotechnology and Biochemistry and Neuroscience Research.

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.

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