Take Matsuyama

33 total papers · 1.1k total citations
16 papers, 763 citations indexed

About

Take Matsuyama is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ophthalmology. According to data from OpenAlex, Take Matsuyama has authored 16 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 2 papers in Ophthalmology. Recurrent topics in Take Matsuyama's work include Retinal Development and Disorders (13 papers), Photoreceptor and optogenetics research (12 papers) and Neuroscience and Neural Engineering (7 papers). Take Matsuyama is often cited by papers focused on Retinal Development and Disorders (13 papers), Photoreceptor and optogenetics research (12 papers) and Neuroscience and Neural Engineering (7 papers). Take Matsuyama collaborates with scholars based in Japan and United States. Take Matsuyama's co-authors include Yoshinori Shichida, Takahiro Yamashita, Yasushi Imamoto, Masayo Takahashi, Michiko Mandai, Hung‐Ya Tu, Suguru Yamasaki, Akiyoshi Kishino, Tomoyo Hashiguchi and Atsushi Kuwahara and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemistry.

In The Last Decade

Take Matsuyama

14 papers receiving 748 citations

Author Peers

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

Author Last Decade Papers Cites
Take Matsuyama 536 532 135 52 51 16 763
Jeffrey Falk 725 1.4× 416 0.8× 98 0.7× 115 2.2× 24 0.5× 16 888
Morven A. Cameron 401 0.7× 535 1.0× 494 3.7× 58 1.1× 46 0.9× 26 834
Dong-Gen Luo 392 0.7× 490 0.9× 219 1.6× 51 1.0× 10 0.2× 14 664
Rikard Frederiksen 415 0.8× 395 0.7× 50 0.4× 98 1.9× 26 0.5× 32 681
Sayuri Tomonari 424 0.8× 401 0.8× 267 2.0× 13 0.3× 29 0.6× 24 784
V.J. Wulff 309 0.6× 331 0.6× 36 0.3× 20 0.4× 31 0.6× 43 659
Farhang Farhangfar 529 1.0× 332 0.6× 94 0.7× 108 2.1× 22 0.4× 15 697
Evan G. Cameron 390 0.7× 306 0.6× 94 0.7× 40 0.8× 21 0.4× 25 721
Judith D. Speck 363 0.7× 153 0.3× 49 0.4× 54 1.0× 32 0.6× 14 678
Ákos Lukáts 498 0.9× 364 0.7× 168 1.2× 208 4.0× 83 1.6× 38 863

Countries citing papers authored by Take Matsuyama

Since Specialization
Citations

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

Fields of papers citing papers by Take Matsuyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Take Matsuyama

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