Eisaku Maeda

12 total papers · 526 total citations
5 papers, 408 citations indexed

About

Eisaku Maeda is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Infectious Diseases. According to data from OpenAlex, Eisaku Maeda has authored 5 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 0 papers in Infectious Diseases. Recurrent topics in Eisaku Maeda's work include Neural dynamics and brain function (4 papers), Neuroscience and Neural Engineering (4 papers) and Neuroscience and Neuropharmacology Research (2 papers). Eisaku Maeda is often cited by papers focused on Neural dynamics and brain function (4 papers), Neuroscience and Neural Engineering (4 papers) and Neuroscience and Neuropharmacology Research (2 papers). Eisaku Maeda collaborates with scholars based in Japan, United Kingdom and Italy. Eisaku Maeda's co-authors include Akio Kawana, Hugh P. C. Robinson, Hiroyuki Kamioka, Yasuhiko Jimbo, Yoichiro Kuroda, Marco Canepari, Marco Bove and Keiichi Torimitsu and has published in prestigious journals such as European Journal of Neuroscience, Neuroscience Letters and Biological Cybernetics.

In The Last Decade

Eisaku Maeda

5 papers receiving 395 citations

Author Peers

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

Author Last Decade Papers Cites
Eisaku Maeda 365 328 81 32 31 5 408
Maxym Myroshnychenko 202 0.6× 308 0.9× 49 0.6× 41 1.3× 8 0.3× 10 387
Martin A. Spacek 300 0.8× 308 0.9× 92 1.1× 9 0.3× 24 0.8× 15 374
Evan Schaffer 253 0.7× 367 1.1× 58 0.7× 34 1.1× 22 0.7× 11 443
Etay Hay 248 0.7× 330 1.0× 75 0.9× 23 0.7× 12 0.4× 15 388
Barry K. Rhoades 295 0.8× 159 0.5× 67 0.8× 16 0.5× 99 3.2× 9 377
Stéphane Deny 231 0.6× 261 0.8× 61 0.8× 26 0.8× 22 0.7× 11 399
Frédéric D. Broccard 231 0.6× 272 0.8× 102 1.3× 65 2.0× 43 1.4× 13 401
Zuzanna Piwkowska 328 0.9× 424 1.3× 111 1.4× 143 4.5× 21 0.7× 17 491
Martin Pospischil 331 0.9× 418 1.3× 112 1.4× 109 3.4× 20 0.6× 9 484
Yang Tsau 331 0.9× 303 0.9× 13 0.2× 70 2.2× 14 0.5× 11 440

Countries citing papers authored by Eisaku Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Eisaku Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eisaku Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Eisaku Maeda. A scholar is included among the top collaborators of Eisaku Maeda 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 Eisaku Maeda. Eisaku Maeda 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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2026