Takeshi Imai

141 total papers · 4.6k total citations
75 papers, 3.2k citations indexed

About

Takeshi Imai is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Molecular Biology. According to data from OpenAlex, Takeshi Imai has authored 75 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 21 papers in Sensory Systems and 15 papers in Molecular Biology. Recurrent topics in Takeshi Imai's work include Olfactory and Sensory Function Studies (21 papers), Neurobiology and Insect Physiology Research (19 papers) and Biochemical Analysis and Sensing Techniques (11 papers). Takeshi Imai is often cited by papers focused on Olfactory and Sensory Function Studies (21 papers), Neurobiology and Insect Physiology Research (19 papers) and Biochemical Analysis and Sensing Techniques (11 papers). Takeshi Imai collaborates with scholars based in Japan, United States and Spain. Takeshi Imai's co-authors include Satoshi Fujimoto, Hitoshi Sakano, Misao Suzuki, Reiko Kobayakawa, Ko Kobayakawa, Hitoshi Sakano, Hiroki R. Ueda, Tetsutaro Hayashi, Itoshi Nikaido and Hiroki Danno and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Takeshi Imai

71 papers receiving 3.1k citations

Hit Papers

SeeDB: a simple and morph... 2013 2026 2017 2021 2013 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Takeshi Imai 1.3k 1.2k 898 808 575 75 3.2k
Detlev Schild 1.8k 1.3× 1.6k 1.3× 764 0.9× 876 1.1× 171 0.3× 103 3.3k
William E. Allen 1.2k 0.9× 292 0.2× 1.6k 1.8× 229 0.3× 378 0.7× 51 3.7k
Gilad Barnea 1.8k 1.3× 1.1k 0.9× 2.3k 2.6× 864 1.1× 64 0.1× 33 4.3k
Jonathan E. Gale 483 0.4× 1.8k 1.5× 1.5k 1.7× 178 0.2× 233 0.4× 50 3.8k
Anthony J. Ricci 757 0.6× 3.8k 3.2× 1.6k 1.8× 347 0.4× 94 0.2× 111 5.2k
Ian G. Davison 1.4k 1.0× 366 0.3× 673 0.7× 178 0.2× 159 0.3× 38 2.1k
Nikolaj Klöcker 2.2k 1.6× 683 0.6× 2.8k 3.2× 129 0.2× 183 0.3× 81 5.1k
Lawrence M. Lifshitz 1.1k 0.8× 493 0.4× 3.5k 3.9× 404 0.5× 146 0.3× 68 5.1k
Kerry R. Delaney 2.0k 1.5× 456 0.4× 867 1.0× 98 0.1× 255 0.4× 70 3.2k
Joseph E. Mazurkiewicz 1.4k 1.1× 215 0.2× 2.3k 2.6× 256 0.3× 158 0.3× 94 5.0k

Countries citing papers authored by Takeshi Imai

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Imai

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