Kaoru Sugimura
Impact in
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
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- Axon Guidance and Neuronal Signaling
- Neurobiology and Insect Physiology Research
Papers in
- Cell Biology 23
- Cellular Mechanics and Interactions 22
- Microtubule and mitosis dynamics 2
- Skin and Cellular Biology Research 1
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- Axon Guidance and Neuronal Signaling 6
- Neurobiology and Insect Physiology Research 2
- Co-authors
- Shuji Ishihara (13 shared papers)Tadashi Uemura (10 shared papers)François Graner (4 shared papers)Pierre‐François Lenne (1 shared paper)Atsushi Miyawaki (2 shared papers)Daisuke Satoh (3 shared papers)Yohanns Bellaı̈che (3 shared papers)Shizue Ohsawa (3 shared papers)
- Journals
- Journal of Theoretical Biology (3 papers)The European Physical Journal E (3 papers)Development (3 papers)Genes to Cells (3 papers)Nature Communications (2 papers)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Kaoru Sugimura
32 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 76
- Cell Biology 885
- Cellular and Molecular Neuroscience 360
- Developmental Neuroscience 43
- Aging 19
- Biophysics 80
Countries citing papers authored by Kaoru Sugimura
This map shows the geographic impact of Kaoru Sugimura'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 Kaoru Sugimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Sugimura more than expected).
Fields of papers citing papers by Kaoru Sugimura
This network shows the impact of papers produced by Kaoru Sugimura. 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 Kaoru Sugimura. The network helps show where Kaoru Sugimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaoru Sugimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 172 | |
| 2 | 2015 | 166 | |
| 3 | 2012 | 156 | |
| 4 | 2016 | 156 | |
| 5 | 2014 | 130 | |
| 6 | 2003 | 120 | |
| 7 | 2003 | 101 | |
| 8 | 2013 | 92 | |
| 9 | 2004 | 79 | |
| 10 | 2009 | 74 | |
| 11 | 2013 | 63 | |
| 12 | 2007 | 57 | |
| 13 | 2011 | 53 | |
| 14 | 2017 | 44 | |
| 15 | 2007 | 40 | |
| 16 | 2018 | 24 | |
| 17 | 2017 | 20 | |
| 18 | 2021 | 16 | |
| 19 | 2012 | 15 | |
| 20 | 2022 | 13 |
About Kaoru Sugimura
Kaoru Sugimura is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Biophysics, Molecular Biology and Developmental Neuroscience, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (22 papers), Axon Guidance and Neuronal Signaling (6 papers), Developmental Biology and Gene Regulation (4 papers), Microtubule and mitosis dynamics (2 papers), Neurobiology and Insect Physiology Research (2 papers), Cell Image Analysis Techniques (2 papers), Skin and Cellular Biology Research (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Cell Biology (885 citations), Cellular and Molecular Neuroscience (360 citations), Developmental Neuroscience (43 citations), Aging (19 citations) and Biophysics (80 citations). Kaoru Sugimura has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Shuji Ishihara, Tadashi Uemura, François Graner, Pierre‐François Lenne, Atsushi Miyawaki, Daisuke Satoh, Yohanns Bellaı̈che, Shizue Ohsawa, Tatsushi Igaki and Tian Xu. Their work appears in journals such as Journal of Theoretical Biology, The European Physical Journal E, Development, Genes to Cells and Nature 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.