Takuya Kanehisa

63 total papers · 699 total citations
32 papers, 550 citations indexed

About

Takuya Kanehisa is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Takuya Kanehisa has authored 32 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Takuya Kanehisa's work include Cardiac Arrhythmias and Treatments (6 papers), Genetic Neurodegenerative Diseases (5 papers) and Mitochondrial Function and Pathology (4 papers). Takuya Kanehisa is often cited by papers focused on Cardiac Arrhythmias and Treatments (6 papers), Genetic Neurodegenerative Diseases (5 papers) and Mitochondrial Function and Pathology (4 papers). Takuya Kanehisa collaborates with scholars based in Japan and United States. Takuya Kanehisa's co-authors include Nobuyuki Tanaka, Chuwa Tei, T Kashima, Hirofumi Tanaka, Hiromitsu Tanaka, Susumu Sakurai, Sho Nakao, Masaki Tahara, Shigetaka Nakamura and Shinichi Minagoe and has published in prestigious journals such as Circulation, Diabetes and The American Journal of Cardiology.

In The Last Decade

Takuya Kanehisa

31 papers receiving 484 citations

Author Peers

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

Author Last Decade Papers Cites
Takuya Kanehisa 238 137 116 115 72 32 550
J. Bohner 187 0.8× 112 0.8× 50 0.4× 42 0.4× 27 0.4× 35 594
Katherine Bridge 94 0.4× 67 0.5× 57 0.5× 129 1.1× 52 0.7× 26 449
Hannah Garver 244 1.0× 97 0.7× 79 0.7× 37 0.3× 55 0.8× 31 567
H Matsuda 161 0.7× 76 0.6× 53 0.5× 62 0.5× 38 0.5× 29 561
Shin Ito 232 1.0× 123 0.9× 143 1.2× 90 0.8× 23 0.3× 37 576
Hangjun Zhang 195 0.8× 84 0.6× 95 0.8× 60 0.5× 36 0.5× 20 521
Marie Josee E. van Rijn 170 0.7× 77 0.6× 70 0.6× 104 0.9× 17 0.2× 24 476
Hirotaka Toshimori 101 0.4× 154 1.1× 145 1.3× 39 0.3× 67 0.9× 20 456
D. Lang 224 0.9× 78 0.6× 85 0.7× 73 0.6× 35 0.5× 30 576
K Nakao 87 0.4× 177 1.3× 162 1.4× 40 0.3× 50 0.7× 32 468

Countries citing papers authored by Takuya Kanehisa

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Kanehisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Kanehisa

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