Hidetoshi Amita

26 total papers · 627 total citations
18 papers, 294 citations indexed

About

Hidetoshi Amita is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Hidetoshi Amita has authored 18 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 5 papers in Neurology. Recurrent topics in Hidetoshi Amita's work include Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Hidetoshi Amita is often cited by papers focused on Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Hidetoshi Amita collaborates with scholars based in Japan, United States and South Korea. Hidetoshi Amita's co-authors include Okihide Hikosaka, Hyoung F. Kim, Toshiya Matsushima, Whitney S. Griggs, Ali Ghazizadeh, Masaki Isoda, Masaharu Yasuda, Ken‐ichi Inoue, Masahiko Takada and Atsushi Yoshida and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Hidetoshi Amita

14 papers receiving 292 citations

Author Peers

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

Author Last Decade Papers Cites
Hidetoshi Amita 188 126 64 38 28 18 294
David Asdourian 142 0.8× 141 1.1× 46 0.7× 44 1.2× 18 0.6× 26 352
Laura Clara Grandi 131 0.7× 58 0.5× 59 0.9× 116 3.1× 6 0.2× 23 346
Philip F. Krayniak 201 1.1× 190 1.5× 15 0.2× 105 2.8× 47 1.7× 7 339
M. J. Guinan 154 0.8× 153 1.2× 12 0.2× 22 0.6× 23 0.8× 13 350
L. M. Pubols 130 0.7× 129 1.0× 30 0.5× 5 0.1× 11 0.4× 11 330
Martin Guthrie 211 1.1× 131 1.0× 56 0.9× 42 1.1× 5 0.2× 11 341
L Stepień 181 1.0× 105 0.8× 19 0.3× 40 1.1× 4 0.1× 25 361
Amanda C. Glueck 87 0.5× 79 0.6× 23 0.4× 75 2.0× 12 0.4× 27 267
Edgar Galindo‐Leon 207 1.1× 121 1.0× 60 0.9× 51 1.3× 7 0.3× 15 316
Allan H. Schulman 93 0.5× 46 0.4× 10 0.2× 81 2.1× 20 0.7× 16 290

Countries citing papers authored by Hidetoshi Amita

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoshi Amita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetoshi Amita

This figure shows the co-authorship network connecting the top 25 collaborators of Hidetoshi Amita. A scholar is included among the top collaborators of Hidetoshi Amita 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 Hidetoshi Amita. Hidetoshi Amita 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