Kensuke Kimura

3.4k citations
89 papers · 2.8k · h-index 24

Impact in

Papers in

Kensuke Kimura

83 papers receiving 2.7k citations

Peers

Kensuke Kimura
Comparison fields: 5 of 140
  • Developmental Neuroscience 187
  • Cardiology and Cardiovascular Medicine 888
  • Cellular and Molecular Neuroscience 377
  • Surgery 689
  • Molecular Biology 878
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Leslie Reinlib United States
Alexander Ruvantha Pinto Australia
Maurits A. Jansen United Kingdom
Sheila M. Bell United States
Nadia Mercader Spain
Natascia Tiso Italy
Kathryn White United Kingdom
Shinji Makino Japan
Katsumasa Kawahara Japan
Sofia Zdunek Sweden
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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 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008434
2 2007186
3 2012143
4 2012135
5 2006132
6 2010123
7 2004117
8 2014111
9 2004110
10 200694
11 201091
12 200490
13 200788
14 201183
15 200565
16 201064
17 201156
18 200350
19 202038
20 199937

About Kensuke Kimura

Kensuke Kimura is a scholar working on Cardiology and Cardiovascular Medicine, Global and Planetary Change, Plant Science, Surgery and Cellular and Molecular Neuroscience, having authored 89 papers that have together received 2.8k 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), Tissue Engineering and Regenerative Medicine (5 papers), Cardiac Arrhythmias and Treatments (5 papers), Cardiac Fibrosis and Remodeling (4 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Developmental Neuroscience (187 citations), Cardiology and Cardiovascular Medicine (888 citations), Cellular and Molecular Neuroscience (377 citations), Surgery (689 citations) and Molecular Biology (878 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, Masaharu Kitano and Ikuroh Ohsawa. Their work appears in journals such as Journal of Clinical Investigation, Circulation Research, Biochemical and Biophysical Research Communications, Plant Cell & Environment and Circulation.

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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