Tatsuya Mima

10.1k total citations · 1 hit paper
194 papers, 7.5k citations indexed

About

Tatsuya Mima is a scholar working on Cognitive Neuroscience, Neurology and Neurology. According to data from OpenAlex, Tatsuya Mima has authored 194 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Cognitive Neuroscience, 95 papers in Neurology and 45 papers in Neurology. Recurrent topics in Tatsuya Mima's work include Transcranial Magnetic Stimulation Studies (83 papers), EEG and Brain-Computer Interfaces (46 papers) and Muscle activation and electromyography studies (39 papers). Tatsuya Mima is often cited by papers focused on Transcranial Magnetic Stimulation Studies (83 papers), EEG and Brain-Computer Interfaces (46 papers) and Muscle activation and electromyography studies (39 papers). Tatsuya Mima collaborates with scholars based in Japan, United States and Egypt. Tatsuya Mima's co-authors include Mark Hallett, Hidenao Fukuyama, Takashi Nagamine, Hiroshi Shibasaki, Mark Hallett, Satoko Koganemaru, Akio Ikeda, Takahiro Matsuoka, Yoshino Ueki and Shogo Yazawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Tatsuya Mima

188 papers receiving 7.3k citations

Hit Papers

A practical guide to diagnostic transcranial magnetic sti... 2012 2026 2016 2021 2012 250 500 750

Peers

Tatsuya Mima
Comparison fields: 5 of 146
  • Cognitive Neuroscience 4.3k
  • Neurology 2.8k
  • Biomedical Engineering 1.6k
  • Cellular and Molecular Neuroscience 1.4k
  • Neurology 1.3k
Replace Fabio Pilato with:
Fabio Pilato Italy
Antoni Valero‐Cabré United States
Paolo Profice Italy
Maurizio Inghilleri Italy
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Babak Boroojerdi Germany
Federico Ranieri Italy
David Liebetanz Germany
Angelo Quartarone Italy
Yasuo Terao Japan
Fabio Pilato Italy View profile →
Citations per field, relative to Tatsuya Mima
Tatsuya Mima · 1×
Citations per year, relative to Tatsuya Mima
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Countries citing papers authored by Tatsuya Mima

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Mima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Mima

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Mima. A scholar is included among the top collaborators of Tatsuya Mima 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 Tatsuya Mima. Tatsuya Mima 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 0
2 2
3 1
4 1
5 5
6 19
7 16
8 10
9 17
10 25
11 5
12 3
13 11
14 36
15 10
16 78
17 21
18 245
19
Frequency-coding of motor control system-coherence and phase estimation between cortical rhythm and motoneuronal firing in humans
8
20 16

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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2026