Keiichi Mimura

439 citations
31 papers · 343 · h-index 12

Impact in

Papers in

Keiichi Mimura

31 papers receiving 314 citations

Peers

Keiichi Mimura
Comparison fields: 5 of 53
  • Cellular and Molecular Neuroscience 209
  • Cognitive Neuroscience 168
  • Ecology, Evolution, Behavior and Systematics 60
  • Insect Science 26
  • Genetics 51
Replace K. Tazaki with:
K. Tazaki Japan
Maurizio Mirolli United States
David J. Aidley United Kingdom
William R. Colquhoun United States
Harjit Singh Seyan Germany
Shizuko Iwasaki Japan
C. SWERUP Sweden
Oliver T. Morris United Kingdom
D. Junge United States
J. J. Milde Germany
Keiichi Mimura relative to K. Tazaki Japan K. Tazaki's profile →
Citations per field
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K. Tazaki · 1×
Citations per year

Countries citing papers authored by Keiichi Mimura

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Mimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Keiichi Mimura, 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 Keiichi Mimura Line = papers co-authored together Keiichi Mimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197241
2 197138
3 196926
4 196122
5 197421
6 196221
7 196217
8 196215
9 197013
10 197013
11 196212
12 195712
13 198711
14 196211
15 19719
16 19678
17 19887
18 19917
19 19566
20 19905

About Keiichi Mimura

Keiichi Mimura is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 31 papers that have together received 343 indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Neurobiology and Insect Physiology Research (12 papers), EEG and Brain-Computer Interfaces (10 papers), Insect and Arachnid Ecology and Behavior (4 papers), Neuroscience and Neural Engineering (4 papers), Visual perception and processing mechanisms (4 papers), Neural Networks and Applications (3 papers) and Insect behavior and control techniques (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (209 citations), Cognitive Neuroscience (168 citations), Ecology, Evolution, Behavior and Systematics (60 citations), Insect Science (26 citations) and Genetics (51 citations). Keiichi Mimura has collaborated with scholars based in Japan. Frequent co-authors include Hiromichi Morita, Hideki Tateda, Masutaro Kuwabara, Kensuke Satô and Yoshiaki Yamamoto. Their work appears in journals such as Journal of Comparative Physiology A, Electroencephalography and Clinical Neurophysiology, Brain Research, Journal of Insect Physiology and Cell and Tissue 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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