Kosuke Takeya

829 citations
43 papers · 681 · h-index 14

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 8
    • Ion channel regulation and function 5
    • Mitochondrial Function and Pathology 3
    • Muscle Physiology and Disorders 3
    • Nitric Oxide and Endothelin Effects 8

Kosuke Takeya

43 papers receiving 628 citations

Peers

Kosuke Takeya
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 135
  • Microbiology 32
  • Immunology 109
  • Physiology 131
  • Molecular Biology 332
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Citations per field
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Citations per year

Countries citing papers authored by Kosuke Takeya

Since Specialization
Citations

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

Fields of papers citing papers by Kosuke Takeya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kosuke Takeya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kosuke Takeya Line = papers co-authored together Kosuke Takeya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979110
2 200994
3 200868
4 201045
5 200835
6 198033
7 198132
8 198329
9 201728
10 197828
11 198124
12 201417
13 197216
14 201413
15
Positive inotropic effect of 3,4-dihydro-6-[4-(3,4-dimethoxybenzoyl)-1 -piperazinyl]-2(1H)-quinolinone (OPC-8212) and mechanism of action in guinea pig ventricular myocardium.
198413
16 198010
17 20239
18 20177
19 20217
20 20206

About Kosuke Takeya

Kosuke Takeya is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Epidemiology and Immunology, having authored 43 papers that have together received 681 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (8 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Cardiomyopathy and Myosin Studies (6 papers), Ion channel regulation and function (5 papers), Mitochondrial Function and Pathology (3 papers), Autophagy in Disease and Therapy (3 papers), Mycobacterium research and diagnosis (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (135 citations), Microbiology (32 citations), Immunology (109 citations), Physiology (131 citations) and Molecular Biology (332 citations). Kosuke Takeya has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Kyosuke Nomoto, Masao Mitsuyama, Michael P. Walsh, Kathy Loutzenhiser, Rodger Loutzenhiser, Emma Walsh, William C. Cole, Ahmed F. El‐Yazbi, Mitsuya Shiraishi and Masumi Eto. Their work appears in journals such as Journal of Smooth Muscle Research, Microbiology, The Journal of Physiology, Chemical and Pharmaceutical Bulletin and American Journal of Physiology-Renal Physiology.

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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