Ryosuke Satomi
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Lung Cancer Treatments and Mutations
Papers in
-
- Lung Cancer Treatments and Mutations 4
- Sarcoma Diagnosis and Treatment 1
-
- PI3K/AKT/mTOR signaling in cancer 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Katsuhiko Naoki (11 shared papers)Kenzo Soejima (11 shared papers)Hideki Terai (10 shared papers)Takashi Sato (10 shared papers)Satoshi Yoda (10 shared papers)Sohei Nakayama (10 shared papers)Shinnosuke Ikemura (9 shared papers)Tomoko Betsuyaku (6 shared papers)
- Journals
- Lung Cancer (2 papers)Cancer Chemotherapy and Pharmacology (2 papers)Molecular Cancer Research (2 papers)Journal for ImmunoTherapy of Cancer (1 paper)PLoS ONE (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Ryosuke Satomi
17 papers receiving 570 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 148
- Pulmonary and Respiratory Medicine 210
- Oncology 161
- Molecular Biology 275
- Immunology 41
Countries citing papers authored by Ryosuke Satomi
This map shows the geographic impact of Ryosuke Satomi'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 Satomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Satomi more than expected).
Fields of papers citing papers by Ryosuke Satomi
This network shows the impact of papers produced by Ryosuke Satomi. 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 Satomi. The network helps show where Ryosuke Satomi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryosuke Satomi, 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 | 2013 | 175 | |
| 2 | 2022 | 72 | |
| 3 | 2013 | 54 | |
| 4 | 2018 | 45 | |
| 5 | 2014 | 39 | |
| 6 | 2011 | 39 | |
| 7 | FOXD1 expression is associated with poor prognosis in non-small cell lung cancer. | 2015 | 35 |
| 8 | 2010 | 24 | |
| 9 | 2013 | 18 | |
| 10 | 2014 | 17 | |
| 11 | 2010 | 17 | |
| 12 | 2016 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2010 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2021 | 1 | |
| 17 | 2019 | 1 |
About Ryosuke Satomi
Ryosuke Satomi is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Epidemiology and Cancer Research, having authored 17 papers that have together received 573 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Cancer Immunotherapy and Biomarkers (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Mechanisms and Therapy (1 paper), Vascular Anomalies and Treatments (1 paper), Epigenetics and DNA Methylation (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Cancer Research (148 citations), Pulmonary and Respiratory Medicine (210 citations), Oncology (161 citations), Molecular Biology (275 citations) and Immunology (41 citations). Ryosuke Satomi has collaborated with scholars based in Japan and United States. Frequent co-authors include Katsuhiko Naoki, Kenzo Soejima, Hideki Terai, Takashi Sato, Satoshi Yoda, Sohei Nakayama, Shinnosuke Ikemura, Tomoko Betsuyaku, Hiroyuki Yasuda and Junko Hamamoto. Their work appears in journals such as Lung Cancer, Cancer Chemotherapy and Pharmacology, Molecular Cancer Research, Journal for ImmunoTherapy of Cancer 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.