Shinsuke Muto
Impact in
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- Kruppel-like factors research
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
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- Cancer-related gene regulation 7
- Kruppel-like factors research 4
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 2
- Surgery 2
- Co-authors
- Masami Horikoshi (8 shared papers)Ryozo Nagai (8 shared papers)Kenichi Aizawa (6 shared papers)Toru Suzuki (5 shared papers)Toshiya Senda (4 shared papers)Miki Senda (4 shared papers)Toru Suzuki (3 shared papers)Y. Akai (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular and Cellular Biology (1 paper)Journal of Community Psychology (1 paper)PLoS ONE (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Shinsuke Muto
16 papers receiving 451 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 338
- Hematology 30
- Genetics 72
- Emergency Medical Services 16
- Clinical Psychology 29
Countries citing papers authored by Shinsuke Muto
This map shows the geographic impact of Shinsuke Muto'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 Shinsuke Muto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinsuke Muto more than expected).
Fields of papers citing papers by Shinsuke Muto
This network shows the impact of papers produced by Shinsuke Muto. 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 Shinsuke Muto. The network helps show where Shinsuke Muto may publish in the future.
Co-authors
The 25 scholars most cited alongside Shinsuke Muto, 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 | 2007 | 135 | |
| 2 | 2003 | 101 | |
| 3 | 2005 | 55 | |
| 4 | 2003 | 41 | |
| 5 | 2014 | 34 | |
| 6 | 2007 | 25 | |
| 7 | 2015 | 22 | |
| 8 | 2014 | 13 | |
| 9 | 2024 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 2004 | 4 | |
| 12 | 2004 | 4 | |
| 13 | Transcriptional activation by acetylation of the transcription factor IKLF/BTEB2 by p300 | 2002 | 1 |
| 14 | 2004 | 1 | |
| 15 | 2008 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2013 | 0 |
About Shinsuke Muto
Shinsuke Muto is a scholar working on Molecular Biology, Surgery, Hematology, Emergency Medical Services and Materials Chemistry, having authored 17 papers that have together received 455 indexed citations. Recurring topics across this work include Cancer-related gene regulation (7 papers), Kruppel-like factors research (4 papers), Genomics and Chromatin Dynamics (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Disaster Response and Management (2 papers), Enzyme Structure and Function (2 papers), RNA Research and Splicing (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Molecular Biology (338 citations), Hematology (30 citations), Genetics (72 citations), Emergency Medical Services (16 citations) and Clinical Psychology (29 citations). Shinsuke Muto has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Masami Horikoshi, Ryozo Nagai, Kenichi Aizawa, Toru Suzuki, Toshiya Senda, Miki Senda, Toru Suzuki, Y. Akai, Kazue Yamaoka and Machiko Inoue. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Journal of Community Psychology, PLoS ONE and Proceedings of the National Academy of Sciences.
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.