Futoshi Toyoda

109 total papers · 1.5k total citations
54 papers, 1.0k citations indexed

About

Futoshi Toyoda is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Futoshi Toyoda has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 40 papers in Cardiology and Cardiovascular Medicine and 23 papers in Cellular and Molecular Neuroscience. Recurrent topics in Futoshi Toyoda's work include Ion channel regulation and function (41 papers), Cardiac electrophysiology and arrhythmias (40 papers) and Neuroscience and Neural Engineering (11 papers). Futoshi Toyoda is often cited by papers focused on Ion channel regulation and function (41 papers), Cardiac electrophysiology and arrhythmias (40 papers) and Neuroscience and Neural Engineering (11 papers). Futoshi Toyoda collaborates with scholars based in Japan, United States and China. Futoshi Toyoda's co-authors include Hiroshi Matsuura, Wei‐Guang Ding, Minoru Horie, Dimitar P. Zankov, Mariko Omatsu‐Kanbe, Seiko Ohno, Takeru Makiyama, Hisao Ueyama, Hideki Itoh and Shinji Imai and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Futoshi Toyoda

53 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Futoshi Toyoda 756 690 236 55 48 54 1.0k
Stanislav Berjukow 761 1.0× 432 0.6× 493 2.1× 36 0.7× 31 0.6× 21 901
Cristina E. Molina 594 0.8× 733 1.1× 114 0.5× 72 1.3× 15 0.3× 38 1.1k
Keli Hu 587 0.8× 399 0.6× 135 0.6× 97 1.8× 48 1.0× 33 1.2k
Issei Imanaga 650 0.9× 471 0.7× 203 0.9× 46 0.8× 12 0.3× 37 882
Guenther Haeusler 430 0.6× 284 0.4× 237 1.0× 155 2.8× 50 1.0× 36 926
Masahiro Fujino 520 0.7× 364 0.5× 139 0.6× 116 2.1× 23 0.5× 53 1.1k
Daiju Yamazaki 653 0.9× 318 0.5× 286 1.2× 72 1.3× 35 0.7× 44 1.1k
Sarah M. Schumacher 639 0.8× 507 0.7× 200 0.8× 102 1.9× 16 0.3× 35 992
Doreen Fialho 948 1.3× 670 1.0× 714 3.0× 34 0.6× 20 0.4× 33 1.2k
Rita I. Jabr 460 0.6× 286 0.4× 104 0.4× 158 2.9× 55 1.1× 42 1.0k

Countries citing papers authored by Futoshi Toyoda

Since Specialization
Citations

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

Fields of papers citing papers by Futoshi Toyoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Futoshi Toyoda

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