James E. Verdone
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
- Oncology 9
- Cancer Cells and Metastasis 8
- Co-authors
- Kenneth J. Pienta (16 shared papers)Michael A. Gorin (7 shared papers)Vanesa L. Silvestri (1 shared paper)Joshua D. Cohen (1 shared paper)Veena Padmanaban (1 shared paper)Kevin J. Cheung (1 shared paper)Andrew J. Ewald (1 shared paper)Koen Schipper (1 shared paper)
- Journals
- Oncotarget (3 papers)Medical Oncology (2 papers)Nature Reviews Urology (1 paper)Scientific Reports (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
James E. Verdone
18 papers receiving 1.1k citations
James E. Verdone's Hit Papers
Peers
Comparison fields: 5 of 102
- Cancer Research 421
- Oncology 603
- Cell Biology 205
- Molecular Biology 477
- Modeling and Simulation 29
Countries citing papers authored by James E. Verdone
This map shows the geographic impact of James E. Verdone'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 James E. Verdone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Verdone more than expected).
Fields of papers citing papers by James E. Verdone
This network shows the impact of papers produced by James E. Verdone. 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 James E. Verdone. The network helps show where James E. Verdone may publish in the future.
Co-authors
The 25 scholars most cited alongside James E. Verdone, 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 | Polyclonal breast cancer metastases arise from collective dissemination of keratin 14-expressing tumor cell clusters Hit paper breakdown → | 2016 | 541 |
| 2 | 2014 | 146 | |
| 3 | 2016 | 87 | |
| 4 | 2016 | 84 | |
| 5 | 2016 | 64 | |
| 6 | 2016 | 51 | |
| 7 | 2017 | 34 | |
| 8 | 2018 | 21 | |
| 9 | 2015 | 19 | |
| 10 | 2014 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2018 | 10 | |
| 15 | 2014 | 8 | |
| 16 | 2017 | 6 | |
| 17 | 2016 | 5 | |
| 18 | 2019 | 1 |
About James E. Verdone
James E. Verdone is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Cancer Genomics and Diagnostics (3 papers), Prostate Cancer Treatment and Research (3 papers), Cell Image Analysis Techniques (2 papers), Cellular Mechanics and Interactions (2 papers), Immunotherapy and Immune Responses (2 papers), Advanced X-ray Imaging Techniques (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Cancer Research (421 citations), Oncology (603 citations), Cell Biology (205 citations), Molecular Biology (477 citations) and Modeling and Simulation (29 citations). James E. Verdone has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Kenneth J. Pienta, Michael A. Gorin, Vanesa L. Silvestri, Joshua D. Cohen, Veena Padmanaban, Kevin J. Cheung, Andrew J. Ewald, Koen Schipper, Joel S. Bader and James R. Hernandez. Their work appears in journals such as Oncotarget, Medical Oncology, Nature Reviews Urology, Scientific Reports and Journal of Cellular Biochemistry.
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.