Naokuni Takeda

38 total papers · 534 total citations
35 papers, 435 citations indexed

About

Naokuni Takeda is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Genetics. According to data from OpenAlex, Naokuni Takeda has authored 35 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 15 papers in Insect Science and 8 papers in Genetics. Recurrent topics in Naokuni Takeda's work include Neurobiology and Insect Physiology Research (16 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Mollusks and Parasites Studies (6 papers). Naokuni Takeda is often cited by papers focused on Neurobiology and Insect Physiology Research (16 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Mollusks and Parasites Studies (6 papers). Naokuni Takeda collaborates with scholars based in Japan. Naokuni Takeda's co-authors include Hiroshi Takayanagi, Yoshihiro Yamamoto, Toshiaki Shimizu, Ryoichi Ikeda, Minoru Mihara, Hiroshi Takayanagi, Seiji Tanaka, Yoshihiro Yamamoto, Kaoru Kubokawa and Gen Matsumoto and has published in prestigious journals such as Nature, Development and Journal of Chromatography A.

In The Last Decade

Naokuni Takeda

34 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Naokuni Takeda 210 149 100 72 70 35 435
Lorenzo Varano 126 0.6× 130 0.9× 31 0.3× 54 0.8× 115 1.6× 55 494
O. Lusis 193 0.9× 101 0.7× 179 1.8× 141 2.0× 36 0.5× 10 401
Sue W. Fingerman 236 1.1× 209 1.4× 24 0.2× 47 0.7× 46 0.7× 24 476
Lucrezia Mola 78 0.4× 78 0.5× 36 0.4× 41 0.6× 70 1.0× 45 375
Bradley G. Rehnberg 75 0.4× 93 0.6× 33 0.3× 123 1.7× 32 0.5× 19 440
T. Oumi 148 0.7× 75 0.5× 39 0.4× 113 1.6× 115 1.6× 15 454
Timothy A. Ellis 249 1.2× 119 0.8× 29 0.3× 52 0.7× 143 2.0× 16 489
W.F. Jansen 233 1.1× 90 0.6× 76 0.8× 47 0.7× 115 1.6× 22 470
Irene Zerbst‐Boroffka 88 0.4× 137 0.9× 29 0.3× 65 0.9× 104 1.5× 24 396
Ronald H. Alvarado 95 0.5× 219 1.5× 69 0.7× 71 1.0× 55 0.8× 18 485

Countries citing papers authored by Naokuni Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Naokuni Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naokuni Takeda

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