Yoichi Saito

552 total citations
64 papers, 368 citations indexed

About

Yoichi Saito is a scholar working on Cognitive Neuroscience, Surgery and Signal Processing. According to data from OpenAlex, Yoichi Saito has authored 64 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 20 papers in Surgery and 11 papers in Signal Processing. Recurrent topics in Yoichi Saito's work include EEG and Brain-Computer Interfaces (25 papers), Neural dynamics and brain function (14 papers) and Blind Source Separation Techniques (8 papers). Yoichi Saito is often cited by papers focused on EEG and Brain-Computer Interfaces (25 papers), Neural dynamics and brain function (14 papers) and Blind Source Separation Techniques (8 papers). Yoichi Saito collaborates with scholars based in Japan, Slovakia and Slovenia. Yoichi Saito's co-authors include Tsuyoshi Shiina, Takamitsu Shimada, Hirotaro Narabayashi, C. Ohye, Akira Fukamachi, Toshio Sato, Tetsuo Maki, Hideo Sasaki, Vitaly Klyuev and Iwao Yamaguchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Scientific Reports.

In The Last Decade

Yoichi Saito

51 papers receiving 333 citations

Peers

Yoichi Saito
Comparison fields: 5 of 73
  • Cognitive Neuroscience 151
  • Surgery 85
  • Cellular and Molecular Neuroscience 61
  • Signal Processing 60
  • Neurology 59
Replace Christiana Schernthaner with:
Christiana Schernthaner Austria
Vittoria Cianci Italy
Heng Guo China
Kai-Wen Lin United States
Nobuyuki Morioka Japan
Chiara Sueri Italy
R. E. M. Hekster Netherlands
Tianchang Li China
Carlos Alvarado-Serrano Mexico
Yande Ren China
Christiana Schernthaner Austria View profile →
Citations per field, relative to Yoichi Saito
Yoichi Saito · 1×
Citations per year, relative to Yoichi Saito
Yoichi Saito · 1×

Countries citing papers authored by Yoichi Saito

Since Specialization
Citations

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

Fields of papers citing papers by Yoichi Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoichi Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Yoichi Saito. A scholar is included among the top collaborators of Yoichi Saito 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 Yoichi Saito. Yoichi Saito 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
# Work Indexed citations
1 2
2 0
3 2
4 4
5 2
6
[A randomized controlled study comparing uracil-tegafur (UFT)+tamoxifen (UFT+TAM therapy) with cyclophosphamide+adriamycin+5-fluorouracil (CAF therapy) for women with stage I , II, or IIIa breast cancer with four or more involved nodes in the adjuvant setting].
2
7 3
8 1
9 47
10 3
11 0
12 4
13 0
14 11
15 0
16 2
17 0
18 56
19 7
20 17

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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