Kazuto Sugimura
Impact in
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- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
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- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
Papers in
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- DNA Repair Mechanisms 7
- Genomics and Chromatin Dynamics 7
- Epigenetics and DNA Methylation 3
- Cancer therapeutics and mechanisms 1
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- Chromosomal and Genetic Variations 2
- Co-authors
- Katsuzumi Okumura (10 shared papers)Hiroshi Taguchi (3 shared papers)Shin‐ichiro Takebayashi (3 shared papers)Shunichi Takeda (2 shared papers)Chie Tanaka (1 shared paper)Yoshimi Nakagawa (1 shared paper)Naohito Aoki (1 shared paper)Masahiro Sato (1 shared paper)
- Journals
- Experimental Cell Research (2 papers)Biochemical and Biophysical Research Communications (2 papers)Bioscience Biotechnology and Biochemistry (2 papers)Journal of Biological Chemistry (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Kazuto Sugimura
10 papers receiving 587 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 505
- Oncology 181
- Cancer Research 98
- Cell Biology 54
- Cardiology and Cardiovascular Medicine 36
Countries citing papers authored by Kazuto Sugimura
This map shows the geographic impact of Kazuto 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 Kazuto Sugimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuto Sugimura more than expected).
Fields of papers citing papers by Kazuto Sugimura
This network shows the impact of papers produced by Kazuto 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 Kazuto Sugimura. The network helps show where Kazuto Sugimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Kazuto 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
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 176 | |
| 2 | 2010 | 157 | |
| 3 | 2009 | 113 | |
| 4 | 2011 | 61 | |
| 5 | 2004 | 41 | |
| 6 | 2017 | 16 | |
| 7 | 2010 | 15 | |
| 8 | 2007 | 10 | |
| 9 | 2006 | 7 | |
| 10 | 2008 | 5 |
About Kazuto Sugimura
Kazuto Sugimura is a scholar working on Molecular Biology, Plant Science, Oncology, Epidemiology and Physiology, having authored 10 papers that have together received 601 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (3 papers), Chromosomal and Genetic Variations (2 papers), PARP inhibition in cancer therapy (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Cancer therapeutics and mechanisms (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Molecular Biology (505 citations), Oncology (181 citations), Cancer Research (98 citations), Cell Biology (54 citations) and Cardiology and Cardiovascular Medicine (36 citations). Kazuto Sugimura has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Katsuzumi Okumura, Hiroshi Taguchi, Shin‐ichiro Takebayashi, Shunichi Takeda, Chie Tanaka, Yoshimi Nakagawa, Naohito Aoki, Masahiro Sato, Fumio Hanaoka and Takeshi Mizuno. Their work appears in journals such as Experimental Cell Research, Biochemical and Biophysical Research Communications, Bioscience Biotechnology and Biochemistry, Journal of Biological Chemistry and The Journal of Cell 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.