Satoshi Nishizuka
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 18
- Molecular Biology top 2%
- Cancer-related gene regulation 19
- Epigenetics and DNA Methylation 17
- Advanced Biosensing Techniques and Applications 15
- Gene expression and cancer classification 13
- Hepatology top 2%
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- Genetic factors in colorectal cancer 21
- Oncology top 2%
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- Gastric Cancer Management and Outcomes 16
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- Cholangiocarcinoma and Gallbladder Cancer Studies 12
- Co-authors
- Gen TamuraMasanori TerashimaTeiichi MotoyamaGo WakabayashiRyoichi SatodateJohn N. WeinsteinAkira SasakiWilliam C. Reinhold
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Satoshi Nishizuka
125 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 136
- Cancer Research 781
- Molecular Biology 3.1k
- Hepatology 355
- Pathology and Forensic Medicine 759
- Oncology 991
Countries citing papers authored by Satoshi Nishizuka
This map shows the geographic impact of Satoshi Nishizuka'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 Satoshi Nishizuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Nishizuka more than expected).
Fields of papers citing papers by Satoshi Nishizuka
This network shows the impact of papers produced by Satoshi Nishizuka. 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 Satoshi Nishizuka. The network helps show where Satoshi Nishizuka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Satoshi Nishizuka, 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 | 2025 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 27 | |
| 9 | 2022 | 15 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 4 | |
| 13 | 2019 | 2 | |
| 14 | 2018 | 20 | |
| 15 | 2017 | 8 | |
| 16 | 2017 | 24 | |
| 17 | 2015 | 28 | |
| 18 | 2013 | 37 | |
| 19 | 2007 | 31 | |
| 20 | Analysis of the fragile histidine triad gene in primary gastric carcinomas and gastric carcinoma cell lines. | 1997 | 16 |
About Satoshi Nishizuka
Satoshi Nishizuka is a scholar working on Cancer Research, Pathology and Forensic Medicine and Hepatology, having authored 129 papers that have together received 4.8k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (21 papers), Cancer-related gene regulation (19 papers), Cancer Genomics and Diagnostics (18 papers), Epigenetics and DNA Methylation (17 papers), Gastric Cancer Management and Outcomes (16 papers), Advanced Biosensing Techniques and Applications (15 papers), Gene expression and cancer classification (13 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (12 papers). The work is most often cited by research in Cancer Research (781 citations), Molecular Biology (3.1k citations) and Hepatology (355 citations). Satoshi Nishizuka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Gen Tamura, Masanori Terashima, Teiichi Motoyama, Go Wakabayashi, Ryoichi Satodate, John N. Weinstein, Akira Sasaki, William C. Reinhold, Chihaya Maesawa and Takeshi Iwaya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
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.