Katsuya Sato

1.1k citations
60 papers · 899 indexed · h-index 16
Topics
Cellular Mechanics and Interactions (13 papers)Protein Kinase Regulation and GTPase Signaling (11 papers)EEG and Brain-Computer Interfaces (11 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaNature Cell Biology

In The Last Decade

Katsuya Sato

56 papers receiving 879 citations

Peers

Katsuya Sato
Comparison fields: 5 of 110
  • Molecular Biology 413
  • Cell Biology 287
  • Biomedical Engineering 118
  • Immunology 109
  • Health, Toxicology and Mutagenesis 98
Replace Katrin Hayeß with:
Katrin Hayeß Germany
Rachael A. McCloy Australia
Inês Mendes Pinto Portugal
Jonathan W. Astin New Zealand
Sara S. Hook United States
Giuseppina Turturici Italy
Jacob M. Vogan United States
Yihui Wu China
Georgeann Smale United States
Balázs Enyedi Hungary
Katsuya Sato relative to Katrin Hayeß Germany Katrin Hayeß's profile →
Citations per field
00.5×2.6×
Katrin Hayeß · 1×
Citations per year

Countries citing papers authored by Katsuya Sato

Since Specialization
Citations

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

Fields of papers citing papers by Katsuya Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuya Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuya Sato. A scholar is included among the top collaborators of Katsuya Sato 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 Katsuya Sato. Katsuya Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4 4
5 3
6 9
7 44
8 44
9
Preference Classification Method Using EEG Analysis Based on Gray Theory and Personality Analysis
2
10 7
11 9
12 3
13 41
14 47
15 8
16 41
17
Role of the Organized Cytoskeletal Actin Fiber Structure in Osteoblastic Response to Mechanical Stimulus
5
18 35
19 157
20 1

About Katsuya Sato

Katsuya Sato is a scholar working on Aging, Cell Biology and Human-Computer Interaction, having authored 60 papers that have together received 899 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (13 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and EEG and Brain-Computer Interfaces (11 papers). The work is most often cited by research in Aging (71 citations), Cell Biology (287 citations) and Health, Toxicology and Mutagenesis (98 citations). Katsuya Sato has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Taiji ADACHI, Ken Sato, Miyuki Sato, Yoshihiro TOMITA, M Takiguchi, Masuo Kondoh, Masao Sato, Minoru Higashimoto, Taichi Hara and Xin Ming. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Cell Biology.

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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