Ryosuke Hayami
Impact in
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- Breast Cancer Treatment Studies
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- Cancer-related Molecular Pathways
Papers in
- Oncology 13
- HER2/EGFR in Cancer Research 5
- Cancer Treatment and Pharmacology 3
- PARP inhibition in cancer therapy 3
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- DNA Repair Mechanisms 6
- Ubiquitin and proteasome pathways 3
- Genomics and Chromatin Dynamics 2
- Co-authors
- Wenwen Wu (7 shared papers)Tomohiko Ohta (7 shared papers)Mamoru Fukuda (5 shared papers)Toru Nishikawa (4 shared papers)Hiroyuki Nishikawa (3 shared papers)Ko Sato (2 shared papers)Haruki Ogata (1 shared paper)Yasuyuki Kojima (5 shared papers)
In The Last Decade
Ryosuke Hayami
17 papers receiving 364 citations
Peers
Comparison fields: 5 of 40
- Cancer Research 70
- Oncology 101
- Molecular Biology 254
- Pathology and Forensic Medicine 56
- Dermatology 27
Countries citing papers authored by Ryosuke Hayami
This map shows the geographic impact of Ryosuke Hayami'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 Ryosuke Hayami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Hayami more than expected).
Fields of papers citing papers by Ryosuke Hayami
This network shows the impact of papers produced by Ryosuke Hayami. 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 Ryosuke Hayami. The network helps show where Ryosuke Hayami may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryosuke Hayami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 120 | |
| 2 | 2005 | 53 | |
| 3 | 2015 | 45 | |
| 4 | 2015 | 38 | |
| 5 | 2007 | 34 | |
| 6 | 2015 | 28 | |
| 7 | 2005 | 25 | |
| 8 | 2018 | 8 | |
| 9 | 2020 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2015 | 1 | |
| 17 | [Thrombophlebitis in an Elderly Japanese Woman Treated with Tamoxifen for Breast Cancer]. | 2015 | 1 |
| 18 | 2026 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2023 | 0 |
About Ryosuke Hayami
Ryosuke Hayami is a scholar working on Oncology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Epidemiology, having authored 21 papers that have together received 369 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), DNA Repair Mechanisms (6 papers), HER2/EGFR in Cancer Research (5 papers), Cancer Treatment and Pharmacology (3 papers), PARP inhibition in cancer therapy (3 papers), Breast Lesions and Carcinomas (3 papers), Ubiquitin and proteasome pathways (3 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cancer Research (70 citations), Oncology (101 citations), Molecular Biology (254 citations), Pathology and Forensic Medicine (56 citations) and Dermatology (27 citations). Ryosuke Hayami has collaborated with scholars based in Japan and Singapore. Frequent co-authors include Wenwen Wu, Tomohiko Ohta, Mamoru Fukuda, Toru Nishikawa, Hiroyuki Nishikawa, Ko Sato, Haruki Ogata, Yasuyuki Kojima, Ichiro Maeda and Koichiro Tsugawa. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Cancer Letters, Journal of Biological Chemistry and Clinical Breast Cancer.
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.