Hideyuki Saya
Impact in
- Cell Biology top 0.05%
- Microtubule and mitosis dynamics
- Proteoglycans and glycosaminoglycans research
- Cancer Research top 0.1%
- Cancer, Hypoxia, and Metabolism
Papers in
- Cell Biology 120
- Microtubule and mitosis dynamics 51
- Proteoglycans and glycosaminoglycans research 38
- Oncology 181
- Cancer Cells and Metastasis 74
- Cancer-related Molecular Pathways 59
- Co-authors
- Osamu NaganoTomotoshi MarumotoDongwei ZhangYoshimi ArimaToru HirotaMasayuki NittaEiji SugiharaMitsuyoshi Nakao
- Journals
- Oncogene (29 papers)Cancer Science (27 papers)Cancer Research (26 papers)Journal of Biological Chemistry (18 papers)PLoS ONE (16 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Hideyuki Saya
452 papers receiving 23.4k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Cell Biology 6.6k
- Cancer Research 4.4k
- Oncology 7.2k
- Molecular Biology 14.2k
- Immunology and Allergy 1.0k
Countries citing papers authored by Hideyuki Saya
This map shows the geographic impact of Hideyuki Saya'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 Hideyuki Saya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyuki Saya more than expected).
Fields of papers citing papers by Hideyuki Saya
This network shows the impact of papers produced by Hideyuki Saya. 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 Hideyuki Saya. The network helps show where Hideyuki Saya may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideyuki Saya, 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 | 4 | |
| 2 | 2021 | 42 | |
| 3 | 2020 | 10 | |
| 4 | 2019 | 4 | |
| 5 | 2016 | 22 | |
| 6 | 2016 | 78 | |
| 7 | 2016 | 56 | |
| 8 | 2015 | 14 | |
| 9 | 2015 | 17 | |
| 10 | 2014 | 70 | |
| 11 | 2013 | 52 | |
| 12 | 2013 | 26 | |
| 13 | 2013 | 168 | |
| 14 | 2012 | 181 | |
| 15 | 2012 | 30 | |
| 16 | 2012 | 213 | |
| 17 | 2010 | 57 | |
| 18 | 2010 | 21 | |
| 19 | 2009 | 317 | |
| 20 | 2008 | 131 |
About Hideyuki Saya
Hideyuki Saya is a scholar working on Cell Biology, Oncology, Cancer Research, Molecular Biology and Genetics, having authored 458 papers that have together received 23.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (74 papers), Cancer-related Molecular Pathways (59 papers), Microtubule and mitosis dynamics (51 papers), Proteoglycans and glycosaminoglycans research (38 papers), Epigenetics and DNA Methylation (37 papers), Glioma Diagnosis and Treatment (32 papers), Cancer, Hypoxia, and Metabolism (30 papers) and Ubiquitin and proteasome pathways (23 papers). The work is most often cited by research in Cell Biology (6.6k citations), Cancer Research (4.4k citations), Oncology (7.2k citations), Molecular Biology (14.2k citations) and Immunology and Allergy (1.0k citations). Hideyuki Saya has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Osamu Nagano, Tomotoshi Marumoto, Dongwei Zhang, Yoshimi Arima, Toru Hirota, Masayuki Nitta, Eiji Sugihara, Mitsuyoshi Nakao, Go J. Yoshida and Takashi Sasayama. Their work appears in journals such as Oncogene, Cancer Science, Cancer Research, Journal of Biological Chemistry and PLoS ONE.
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.