Takuya Kaneko

644 total citations
26 papers, 432 citations indexed

About

Takuya Kaneko is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Takuya Kaneko has authored 26 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Takuya Kaneko's work include Neurobiology and Insect Physiology Research (4 papers), Axon Guidance and Neuronal Signaling (3 papers) and Terahertz technology and applications (3 papers). Takuya Kaneko is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Axon Guidance and Neuronal Signaling (3 papers) and Terahertz technology and applications (3 papers). Takuya Kaneko collaborates with scholars based in Japan, United States and China. Takuya Kaneko's co-authors include Yoshimichi Ohki, Naoshi Hirai, S. Ito, Jiwang Yan, Masato Kinoshita, Nobuhito Yoshihara, Atsuko Shimada, Kazunori Uchida, Tsunemoto Kuriyagawa and Toru Kawanishi and has published in prestigious journals such as Nature Communications, Neuron and Development.

In The Last Decade

Takuya Kaneko

24 papers receiving 426 citations

Peers

Takuya Kaneko
Comparison fields: 5 of 105
  • Molecular Biology 102
  • Materials Chemistry 75
  • Cellular and Molecular Neuroscience 72
  • Biomedical Engineering 71
  • Electrical and Electronic Engineering 66
Replace Shunqi Wang with:
Shunqi Wang China
Ji Yeon Kim South Korea
Jeong-Jin Kim South Korea
Benjamin E. Smith United States
Ikuko Yamada Japan
Min Sung Choi South Korea
Do Hoon Kim South Korea
Yuwen Zhao China
Takuya Yokoyama Japan
Shunqi Wang China View profile →
Citations per field, relative to Takuya Kaneko
Takuya Kaneko · 1×
Citations per year, relative to Takuya Kaneko
Takuya Kaneko · 1×

Countries citing papers authored by Takuya Kaneko

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Kaneko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Kaneko

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 4
5 1
6 1
7 4
8 6
9 44
10 4
11 5
12 6
13 20
14 9
15 81
16 15
17 10
18 1
19 35
20 3

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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