Ayaka Sato

1.4k citations
72 papers · 1.1k · h-index 20

Impact in

Papers in

    • Catalysis and Oxidation Reactions 6
    • Catalysts for Methane Reforming 3
    • Adenosine and Purinergic Signaling 4

Ayaka Sato

66 papers receiving 1.1k citations

Peers

Ayaka Sato
Comparison fields: 5 of 132
  • Catalysis 155
  • Energy Engineering and Power Technology 37
  • Computational Mechanics 131
  • Biomedical Engineering 212
  • Materials Chemistry 220
Replace Koichi Suzuki with:
Koichi Suzuki Japan
Yanlin Guo China
Ryo Nishimura Japan
Yafei Yuan China
Cuihua Wang China
Heng Liu China
Yifu Liu China
Zhipeng Ding China
Muhammad Asad Khan Australia
Xinyue L. Deng China
Ayaka Sato relative to Koichi Suzuki Japan Koichi Suzuki's profile →
Citations per field
00.5×5×10×14.5×
Koichi Suzuki · 1×
Citations per year

Countries citing papers authored by Ayaka Sato

Since Specialization
Citations

This map shows the geographic impact of Ayaka Sato'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 Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayaka Sato more than expected).

Fields of papers citing papers by Ayaka Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ayaka Sato. 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 Sato. The network helps show where Ayaka Sato may publish in the future.

Co-authors

The 25 scholars most cited alongside Ayaka Sato, 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 Ayaka Sato Line = papers co-authored together Ayaka Sato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009119
2 201579
3 201275
4 201366
5 201956
6 201753
7 201938
8 201838
9 200834
10 201932
11 201231
12 202129
13 201928
14 201425
15 200524
16 202024
17 201123
18 201721
19 201220
20 201220

About Ayaka Sato

Ayaka Sato is a scholar working on Catalysis, Physiology, Biomedical Engineering, Computational Mechanics and Cell Biology, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fluid Dynamics and Mixing (8 papers), Fluid Dynamics and Heat Transfer (6 papers), Catalysis and Oxidation Reactions (6 papers), Catalytic Processes in Materials Science (5 papers), Adenosine and Purinergic Signaling (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Immune Cell Function and Interaction (3 papers) and Catalysts for Methane Reforming (3 papers). The work is most often cited by research in Catalysis (155 citations), Energy Engineering and Power Technology (37 citations), Computational Mechanics (131 citations), Biomedical Engineering (212 citations) and Materials Chemistry (220 citations). Ayaka Sato has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masao Watanabe, Toshiyuki Sanada, Minori Shirota, Shuhei Ogo, Yasushi Sekine, Jeong Gil Seo, Shin‐ichi Sakakibara, Seung Won Kang, Kenji Miura and Hiroshi Kamada. Their work appears in journals such as RSC Advances, Journal of Chromatography A, Physics of Fluids, Annals of Vascular Surgery and International Journal of Molecular Sciences.

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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