Kaoru Sugimura
Impact in
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Aging top 5%
Papers in
- Cell Biology 22
- Cellular Mechanics and Interactions 19
- Hippo pathway signaling and YAP/TAZ 6
-
- Developmental Biology and Gene Regulation 7
- Co-authors
- Shuji Ishihara (11 shared papers)Tadashi Uemura (11 shared papers)François Graner (3 shared papers)Pierre‐François Lenne (1 shared paper)Atsushi Miyawaki (2 shared papers)Daisuke Satoh (3 shared papers)Tatsushi Igaki (2 shared papers)Shizue Ohsawa (3 shared papers)
- Journals
- Journal of Theoretical Biology (3 papers)Genes to Cells (3 papers)The European Physical Journal E (3 papers)Nature Communications (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kaoru Sugimura
31 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Cell Biology 1.0k
- Aging 52
- Cellular and Molecular Neuroscience 418
- Biophysics 108
- Modeling and Simulation 48
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 166 | |
| 2 | 2016 | 150 | |
| 3 | 2015 | 147 | |
| 4 | 2012 | 144 | |
| 5 | 2003 | 124 | |
| 6 | 2014 | 122 | |
| 7 | 2003 | 97 | |
| 8 | 2013 | 86 | |
| 9 | 2004 | 85 | |
| 10 | 2009 | 78 | |
| 11 | 2013 | 62 | |
| 12 | 2007 | 61 | |
| 13 | 2011 | 52 | |
| 14 | 2007 | 39 | |
| 15 | 2017 | 36 | |
| 16 | 2018 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2021 | 15 | |
| 19 | 2012 | 13 | |
| 20 | 2022 | 11 |
About Kaoru Sugimura
Kaoru Sugimura is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering and Biophysics, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (19 papers), Neurobiology and Insect Physiology Research (11 papers), Developmental Biology and Gene Regulation (7 papers), Hippo pathway signaling and YAP/TAZ (6 papers), 3D Printing in Biomedical Research (5 papers), Cell Image Analysis Techniques (3 papers), Invertebrate Immune Response Mechanisms (3 papers) and Micro and Nano Robotics (3 papers). The work is most often cited by research in Cell Biology (1.0k citations), Aging (52 citations), Cellular and Molecular Neuroscience (418 citations), Biophysics (108 citations) and Modeling and Simulation (48 citations). Kaoru Sugimura has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shuji Ishihara, Tadashi Uemura, François Graner, Pierre‐François Lenne, Atsushi Miyawaki, Daisuke Satoh, Tatsushi Igaki, Shizue Ohsawa, Yukako Hattori and Tian Xu. Their work appears in journals such as Journal of Theoretical Biology, Genes to Cells, The European Physical Journal E, Nature Communications and PLoS Computational Biology.
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.