Keiko Usui

2.4k citations
74 papers · 1.8k indexed · h-index 24
Topics
Epilepsy research and treatment (22 papers)EEG and Brain-Computer Interfaces (14 papers)Neural dynamics and brain function (12 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Keiko Usui

71 papers receiving 1.8k citations

Peers

Keiko Usui
Comparison fields: 5 of 142
  • Cognitive Neuroscience 1.1k
  • Psychiatry and Mental health 369
  • Cellular and Molecular Neuroscience 366
  • Developmental and Educational Psychology 255
  • Neurology 225
Replace Federico Bolognani with:
Federico Bolognani United States
Shoko Watanabe Japan
Roberto Sacco Italy
Silvia Savazzi Italy
Donald R. McCrimmon United States
Maria José Ribeiro Portugal
Shiro Suda Japan
Hiroko Hagiwara Japan
David L. Clark United States
Sabine Hofer Germany
Keiko Usui relative to Federico Bolognani United States Federico Bolognani's profile →
Citations per field
00.5×7.7×
Federico Bolognani · 1×
Citations per year

Countries citing papers authored by Keiko Usui

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Usui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Usui

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Usui. A scholar is included among the top collaborators of Keiko Usui 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 Keiko Usui. Keiko Usui 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 3
2 1
3 3
4 13
5 6
6 32
7 2
8 6
9 18
10 4
11 16
12 15
13 12
14 22
15 11
16 75
17 29
18 53
19 43
20
Detection of Desmin in Fat-storing Cells (Ito Cells) by Immunocytochemical Methods
3

About Keiko Usui

Keiko Usui is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Epilepsy research and treatment (22 papers), EEG and Brain-Computer Interfaces (14 papers) and Neural dynamics and brain function (12 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Psychiatry and Mental health (369 citations) and Developmental and Educational Psychology (255 citations). Keiko Usui has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yushi Inoue, Kazumi Matsuda, Naotaka Usui, Toshiki Hiraki, Hidenao Fukuyama, Fumiyoshi Abe, Akio Ikeda, Kiyohito Terada, Takayasu Tottori and Koichi Baba. Their work appears in journals such as Science, Nature Communications and PLoS ONE.

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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