David T. Miyamoto
- Oncology top 1%
- Molecular Biology top 5%
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 5%
- Co-authors
- Shyamala MaheswaranTimothy J. MitchisonMehmet TonerDaniel A. HaberShannon L. StottDavid T. TingBen S. WittnerBrian W. Brannigan
- Topics
- Prostate Cancer Treatment and Research (20 papers)Cancer Genomics and Diagnostics (18 papers)Cancer Cells and Metastasis (16 papers)
- 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
- Oncology 2.0k
- Molecular Biology 1.5k
- Cancer Research 1.3k
- Pulmonary and Respiratory Medicine 760
- Biomedical Engineering 678
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 of co-authors of David T. Miyamoto
This figure shows the co-authorship network connecting the top 25 collaborators of David T. Miyamoto. A scholar is included among the top collaborators of David T. Miyamoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David T. Miyamoto. David T. Miyamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 59 | |
| 6 | 2 | |
| 7 | 100 | |
| 8 | 78 | |
| 9 | 65 | |
| 10 | 22 | |
| 11 | Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasisbreakdown → | 1786 |
| 12 | 105 | |
| 13 | 38 | |
| 14 | 217 | |
| 15 | 11 | |
| 16 | 29 | |
| 17 | 95 | |
| 18 | 87 | |
| 19 | 8 | |
| 20 | 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) and Cancer Cells and Metastasis (16 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.