Keisuke Miyake
Impact in
Papers in
- Genetics 41
- Glioma Diagnosis and Treatment 39
- Co-authors
- Takashi Tamiya (56 shared papers)Nobuyuki Kawai (29 shared papers)Thomas Litman (2 shared papers)Susan E. Bates (2 shared papers)Tito Fojo (3 shared papers)Lyn A. Mickley (3 shared papers)Michael Dean (3 shared papers)Yoshihiro Nishiyama (30 shared papers)
- Journals
- Annals of Nuclear Medicine (7 papers)Journal of Neuro-Oncology (4 papers)Brain Tumor Pathology (4 papers)EJNMMI Research (4 papers)Neurologia medico-chirurgica (4 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Keisuke Miyake
97 papers receiving 2.8k citations
Keisuke Miyake's Hit Papers
Peers
Comparison fields: 5 of 111
- Genetics 642
- Oncology 1.2k
- Cancer Research 317
- Pediatrics, Perinatology and Child Health 361
- Neurology 252
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 | 673 |
| 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 | 92 | |
| 5 | 2017 | 88 | |
| 6 | 2012 | 86 | |
| 7 | 2000 | 71 | |
| 8 | 1991 | 61 | |
| 9 | 2018 | 55 | |
| 10 | 2010 | 54 | |
| 11 | 2014 | 53 | |
| 12 | 2013 | 47 | |
| 13 | 2004 | 47 | |
| 14 | 2016 | 45 | |
| 15 | 2005 | 44 | |
| 16 | 2017 | 42 | |
| 17 | 2010 | 42 | |
| 18 | 2010 | 39 | |
| 19 | 2017 | 39 | |
| 20 | 2017 | 36 |
About Keisuke Miyake
Keisuke Miyake is a scholar working on Genetics, Molecular Biology, Neurology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 101 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (39 papers), Cancer, Hypoxia, and Metabolism (9 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Medical Imaging Techniques and Applications (8 papers), Meningioma and schwannoma management (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Genetics (642 citations), Oncology (1.2k citations), Cancer Research (317 citations), Pediatrics, Perinatology and Child Health (361 citations) and Neurology (252 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, Tito Fojo, Lyn A. Mickley, Michael Dean, Yoshihiro Nishiyama, Masaki Okada and Zhirong Zhan. Their work appears in journals such as Annals of Nuclear Medicine, Journal of Neuro-Oncology, Brain Tumor Pathology, EJNMMI Research and Neurologia medico-chirurgica.
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.