Ryusuke Hatae
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
Papers in
- Genetics 41
- Glioma Diagnosis and Treatment 41
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- Cancer Genomics and Diagnostics 6
- Cancer, Hypoxia, and Metabolism 6
- MicroRNA in disease regulation 5
- Co-authors
- Masahiro Mizoguchi (38 shared papers)Koji Yoshimoto (36 shared papers)Nobuhiro Hata (38 shared papers)Kenji Chamoto (4 shared papers)Tasuku Honjo (3 shared papers)Daisuke Kuga (33 shared papers)Satoshi O. Suzuki (20 shared papers)Koji Iihara (24 shared papers)
- Journals
- Neuropathology (8 papers)Journal of Neuro-Oncology (4 papers)Neuro-Oncology (3 papers)Neurologia medico-chirurgica (3 papers)Brain Tumor Pathology (3 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Ryusuke Hatae
53 papers receiving 975 citations
Peers
Comparison fields: 5 of 75
- Genetics 554
- Cancer Research 227
- Neurology 147
- Radiology, Nuclear Medicine and Imaging 216
- Oncology 216
Countries citing papers authored by Ryusuke Hatae
This map shows the geographic impact of Ryusuke Hatae'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 Ryusuke Hatae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryusuke Hatae more than expected).
Fields of papers citing papers by Ryusuke Hatae
This network shows the impact of papers produced by Ryusuke Hatae. 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 Ryusuke Hatae. The network helps show where Ryusuke Hatae may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryusuke Hatae, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 117 | |
| 2 | 2015 | 94 | |
| 3 | 2012 | 94 | |
| 4 | 2019 | 63 | |
| 5 | 2017 | 61 | |
| 6 | 2016 | 39 | |
| 7 | 2021 | 37 | |
| 8 | 2019 | 32 | |
| 9 | 2016 | 31 | |
| 10 | 2019 | 29 | |
| 11 | 2024 | 27 | |
| 12 | 2021 | 26 | |
| 13 | 2021 | 25 | |
| 14 | 2021 | 20 | |
| 15 | 2020 | 19 | |
| 16 | 2017 | 18 | |
| 17 | 2021 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2018 | 16 | |
| 20 | 2024 | 13 |
About Ryusuke Hatae
Ryusuke Hatae is a scholar working on Genetics, Cancer Research, Neurology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 979 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (41 papers), Meningioma and schwannoma management (8 papers), Vascular Malformations Diagnosis and Treatment (8 papers), Brain Metastases and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cancer Genomics and Diagnostics (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Genetics (554 citations), Cancer Research (227 citations), Neurology (147 citations), Radiology, Nuclear Medicine and Imaging (216 citations) and Oncology (216 citations). Ryusuke Hatae has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Masahiro Mizoguchi, Koji Yoshimoto, Nobuhiro Hata, Kenji Chamoto, Tasuku Honjo, Daisuke Kuga, Satoshi O. Suzuki, Koji Iihara, Yuhei Sangatsuda and Yojiro Akagi. Their work appears in journals such as Neuropathology, Journal of Neuro-Oncology, Neuro-Oncology, Neurologia medico-chirurgica and Brain Tumor Pathology.
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.