Motoshi Suzuki
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 8
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms 8
- Molecular Biology top 2%
- DNA Repair Mechanisms 28
- Sphingolipid Metabolism and Signaling 21
- DNA and Nucleic Acid Chemistry 16
- RNA modifications and cancer 10
- RNA Research and Splicing 10
- Cell Biology top 5%
- Biochemistry top 5%
- Co-authors
- Takashi TakahashiShonen YoshidaLawrence A. LoebHideki YamadaTakashi MurateTomoya YamaguchiYukako ShimadaKiyoshi Yanagisawa
- Journals
- Biochemical and Biophysical Research Communications (11 papers)The Journal of Biochemistry (8 papers)Journal of Biological Chemistry (7 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Motoshi Suzuki
131 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 942
- Aging 81
- Molecular Biology 3.0k
- Cell Biology 393
- Biochemistry 149
Countries citing papers authored by Motoshi Suzuki
This map shows the geographic impact of Motoshi Suzuki'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 Motoshi Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motoshi Suzuki more than expected).
Fields of papers citing papers by Motoshi Suzuki
This network shows the impact of papers produced by Motoshi Suzuki. 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 Motoshi Suzuki. The network helps show where Motoshi Suzuki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Motoshi Suzuki, 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 | 2021 | 7 | |
| 2 | 2021 | 6 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 22 | |
| 5 | 2020 | 14 | |
| 6 | 2019 | 13 | |
| 7 | 2019 | 11 | |
| 8 | 2016 | 8 | |
| 9 | 2014 | 6 | |
| 10 | 2013 | 4 | |
| 11 | Involvement of KRAS G12A mutation in the IL-2-independent growth of a human T-LGL leukemia cell line, PLT-2. | 2012 | 7 |
| 12 | 2012 | 19 | |
| 13 | 2010 | 40 | |
| 14 | 2008 | 153 | |
| 15 | 2008 | 22 | |
| 16 | 2005 | 25 | |
| 17 | 2003 | 16 | |
| 18 | 2000 | 13 | |
| 19 | Mechanisms of inhibitions of DNA polymerase gamma by nucleotide analogues having anti-HIV activities. | 1991 | 2 |
| 20 | 1991 | 8 |
About Motoshi Suzuki
Motoshi Suzuki is a scholar working on Aging, Molecular Biology and Cancer Research, having authored 132 papers that have together received 4.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (28 papers), Sphingolipid Metabolism and Signaling (21 papers), DNA and Nucleic Acid Chemistry (16 papers), RNA modifications and cancer (10 papers), RNA Research and Splicing (10 papers), Cancer-related molecular mechanisms research (9 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Cancer Research (942 citations), Aging (81 citations) and Molecular Biology (3.0k citations). Motoshi Suzuki has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Takashi Takahashi, Shonen Yoshida, Lawrence A. Loeb, Hideki Yamada, Takashi Murate, Tomoya Yamaguchi, Yukako Shimada, Kiyoshi Yanagisawa, Toyoshi Fujimoto and Elinor T. Adman. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Journal of Biochemistry, Journal of Biological Chemistry, Oncogene and Cancer Science.
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.