David T. Miyamoto
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 18
- Oncology top 1%
- Cancer Cells and Metastasis 16
- Cell Biology top 2%
- Microtubule and mitosis dynamics 5
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- Prostate Cancer Treatment and Research 20
- Prostate Cancer Diagnosis and Treatment 7
- Molecular Biology top 5%
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- Bladder and Urothelial Cancer Treatments 16
- Urinary and Genital Oncology Studies 11
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- Cancer Research and Treatments 5
- Co-authors
- Shyamala MaheswaranTimothy J. MitchisonMehmet TonerDaniel A. HaberShannon L. StottDavid T. TingBen S. WittnerBrian W. Brannigan
- Cited by
- Cancer ResearchOncologyCell Biology
- Partner nations
- United StatesCanadaJapan
In The Last Decade
David T. Miyamoto
61 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Cancer Research 1.3k
- Oncology 2.0k
- Cell Biology 620
- Pulmonary and Respiratory Medicine 760
- Molecular Biology 1.5k
Countries citing papers authored by David T. Miyamoto
This map shows the geographic impact of David T. Miyamoto'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 David T. Miyamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Miyamoto more than expected).
Fields of papers citing papers by David T. Miyamoto
This network shows the impact of papers produced by David T. Miyamoto. 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 David T. Miyamoto. The network helps show where David T. Miyamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David T. Miyamoto, 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 | 2024 | 4 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 59 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 100 | |
| 8 | 2018 | 78 | |
| 9 | 2018 | 65 | |
| 10 | 2016 | 22 | |
| 11 | Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasisbreakdown → | 2014 | 1786 |
| 12 | 2014 | 105 | |
| 13 | 2013 | 38 | |
| 14 | 2012 | 217 | |
| 15 | 2010 | 11 | |
| 16 | 2009 | 29 | |
| 17 | 2004 | 95 | |
| 18 | 2003 | 87 | |
| 19 | 2000 | 8 | |
| 20 | 1998 | 7 |
About David T. Miyamoto
David T. Miyamoto is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 66 papers that have together received 3.9k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (20 papers), Cancer Genomics and Diagnostics (18 papers), Cancer Cells and Metastasis (16 papers), Bladder and Urothelial Cancer Treatments (16 papers), Urinary and Genital Oncology Studies (11 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Microtubule and mitosis dynamics (5 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (2.0k citations) and Cell Biology (620 citations). David T. Miyamoto has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Shyamala Maheswaran, Timothy J. Mitchison, Mehmet Toner, Daniel A. Haber, Shannon L. Stott, David T. Ting, Ben S. Wittner, Brian W. Brannigan, Sridhar Ramaswamy and Aditya Bardia. Their work appears in journals such as Cell, Nature Communications and Journal of Clinical Oncology.
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.