Mitsuaki Takemi

54 total papers · 582 total citations
23 papers, 374 citations indexed

About

Mitsuaki Takemi is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mitsuaki Takemi has authored 23 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 9 papers in Neurology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mitsuaki Takemi's work include EEG and Brain-Computer Interfaces (14 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Muscle activation and electromyography studies (8 papers). Mitsuaki Takemi is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Muscle activation and electromyography studies (8 papers). Mitsuaki Takemi collaborates with scholars based in Japan, Denmark and Italy. Mitsuaki Takemi's co-authors include Junichi Ushiba, Yoshihisa Masakado, Meigen Liu, Ming‐Han Liu, Hartwig R. Siebner, Atsushi Iriki, Kento Nakagawa, Elisa Castagnola, Atsushi Sasaki and Nobuhiro Hagura and has published in prestigious journals such as PLoS ONE, NeuroImage and The Journal of Physiology.

In The Last Decade

Mitsuaki Takemi

19 papers receiving 371 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mitsuaki Takemi	328	116	110	92	40	23	374
Menno P. Veldman	212 0.6×	153 1.3×	40 0.4×	149 1.6×	55 1.4×	19	360
H.‐G. Ross	190 0.6×	62 0.5×	125 1.1×	115 1.3×	12 0.3×	27	425
Saeka Tomatsu	275 0.8×	153 1.3×	66 0.6×	117 1.3×	21 0.5×	13	387
Celine Maes	313 1.0×	137 1.2×	61 0.6×	71 0.8×	32 0.8×	18	440
Benjamin A. Philip	153 0.5×	67 0.6×	64 0.6×	69 0.8×	17 0.4×	26	359
Ryoki Sasaki	251 0.8×	298 2.6×	49 0.4×	108 1.2×	47 1.2×	36	403
Maximilian Schubring-Giese	217 0.7×	154 1.3×	188 1.7×	72 0.8×	50 1.3×	12	418
Mathias Vukelić	323 1.0×	74 0.6×	148 1.3×	119 1.3×	77 1.9×	29	405
RN Lemon	267 0.8×	157 1.4×	40 0.4×	183 2.0×	16 0.4×	10	349
Peter Holland	288 0.9×	155 1.3×	37 0.3×	116 1.3×	12 0.3×	24	410

Countries citing papers authored by Mitsuaki Takemi

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuaki Takemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuaki Takemi

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

All Works

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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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