Kensuke Kimura

3.4k citations
91 papers · 2.7k · h-index 24

Impact in

Papers in

Kensuke Kimura

84 papers receiving 2.7k citations

Peers

Kensuke Kimura
Comparison fields: 5 of 140
  • Developmental Neuroscience 182
  • Cardiology and Cardiovascular Medicine 858
  • Cellular and Molecular Neuroscience 366
  • Surgery 674
  • Physiology 302
Replace Bin Wei with:
Bin Wei China
Bettina Erdmann Germany
Natascia Tiso Italy
Yoshiharu Murata Japan
Sofia Zdunek Sweden
Sameer B. Shah United States
Mei Xin China
Luca Ferri Italy
Katsumasa Kawahara Japan
Shinji Makino Japan
Kensuke Kimura relative to Bin Wei China Bin Wei's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kensuke Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Kensuke Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kensuke Kimura, 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 Kensuke Kimura Line = papers co-authored together Kensuke Kimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008426
2 2007177
3 2012138
4 2012131
5 2006130
6 2010120
7 2004116
8 2004109
9 2014103
10 200691
11 200489
12 200786
13 201082
14 201180
15 200563
16 201063
17 201156
18 200351
19 201136
20 202036

About Kensuke Kimura

Kensuke Kimura is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Plant Science, Surgery and Global and Planetary Change, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (16 papers), Greenhouse Technology and Climate Control (10 papers), Plant responses to elevated CO2 (7 papers), Cardiac electrophysiology and arrhythmias (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Cardiomyopathy and Myosin Studies (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Developmental Neuroscience (182 citations), Cardiology and Cardiovascular Medicine (858 citations), Cellular and Molecular Neuroscience (366 citations), Surgery (674 citations) and Physiology (302 citations). Kensuke Kimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Keiichi Fukuda, Masaki Ieda, Satoshi Ogawa, Motoaki Sano, Shinji Makino, Hideaki Kanazawa, Jin Endo, Ken Shinmura, Ikuroh Ohsawa and Shigeo Ohta. Their work appears in journals such as Circulation, Journal of Clinical Investigation, Agricultural and Forest Meteorology, Plant Cell & Environment and Biochemical and Biophysical Research Communications.

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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