Keisuke Miyake
Impact in
Papers in
- Co-authors
- Takashi Tamiya (56 shared papers)Nobuyuki Kawai (29 shared papers)Thomas Litman (2 shared papers)Susan E. Bates (2 shared papers)Michael Dean (3 shared papers)Tito Fojo (3 shared papers)Lyn A. Mickley (3 shared papers)Yoshihiro Nishiyama (30 shared papers)
- Journals
- Annals of Nuclear Medicine (7 papers)Journal of Neuro-Oncology (4 papers)Neurologia medico-chirurgica (4 papers)Brain Tumor Pathology (4 papers)EJNMMI Research (4 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Keisuke Miyake
96 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Genetics 749
- Oncology 1.3k
- Cancer Research 377
- Pediatrics, Perinatology and Child Health 402
- Neurology 309
Countries citing papers authored by Keisuke Miyake
This map shows the geographic impact of Keisuke Miyake'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 Keisuke Miyake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Miyake more than expected).
Fields of papers citing papers by Keisuke Miyake
This network shows the impact of papers produced by Keisuke Miyake. 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 Keisuke Miyake. The network helps show where Keisuke Miyake may publish in the future.
Co-authors
The 25 scholars most cited alongside Keisuke Miyake, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Molecular cloning of cDNAs which are highly overexpressed in mitoxantrone-resistant cells: demonstration of homology to ABC transport genes. Hit paper breakdown → | 1999 | 674 |
| 2 | 2000 | 443 | |
| 3 | Analysis of gene expression profiles associated with cisplatin resistance in human ovarian cancer cell lines and tissues using cDNA microarray. | 2001 | 93 |
| 4 | 2006 | 93 | |
| 5 | 2017 | 86 | |
| 6 | 2012 | 86 | |
| 7 | 2000 | 71 | |
| 8 | 1991 | 61 | |
| 9 | 2010 | 54 | |
| 10 | 2018 | 54 | |
| 11 | 2014 | 52 | |
| 12 | 2004 | 47 | |
| 13 | 2013 | 47 | |
| 14 | 2005 | 44 | |
| 15 | 2016 | 44 | |
| 16 | 2010 | 41 | |
| 17 | 2017 | 40 | |
| 18 | 2010 | 39 | |
| 19 | 2017 | 36 | |
| 20 | 2017 | 36 |
About Keisuke Miyake
Keisuke Miyake is a scholar working on Genetics, Neurology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 101 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (45 papers), Medical Imaging Techniques and Applications (18 papers), Cancer, Hypoxia, and Metabolism (11 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Meningioma and schwannoma management (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Lymphoma Diagnosis and Treatment (7 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Genetics (749 citations), Oncology (1.3k citations), Cancer Research (377 citations), Pediatrics, Perinatology and Child Health (402 citations) and Neurology (309 citations). Keisuke Miyake has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takashi Tamiya, Nobuyuki Kawai, Thomas Litman, Susan E. Bates, Michael Dean, Tito Fojo, Lyn A. Mickley, Yoshihiro Nishiyama, Masaki Okada and Zhirong Zhan. Their work appears in journals such as Annals of Nuclear Medicine, Journal of Neuro-Oncology, Neurologia medico-chirurgica, Brain Tumor Pathology and EJNMMI Research.
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.