James E. Verdone

18 papers receiving 1.2k citations

James E. Verdone's Hit Papers

Polyclonal breast cancer metastases arise from collective dissemination of keratin 14-expressing tumor cell clusters 2016 · 558 citations
5580+3+6Years since publication100200300400500

Peers

James E. Verdone
Comparison fields: 5 of 94
  • Cancer Research 381
  • Oncology 585
  • Cell Biology 202
  • Molecular Biology 454
  • Modeling and Simulation 30
Replace Vanesa L. Silvestri with:
Vanesa L. Silvestri United States
Sarah Javaid United States
Franck Assayag France
Pramudita R. Prasetyanti Netherlands
Renee Head Canada
Ludmilla de Plater France
Yoko S. DeRose United States
Daniel Stieber Luxembourg
Andrea Richardson United States
Federico Bocci United States
James E. Verdone relative to Vanesa L. Silvestri United States Vanesa L. Silvestri's profile →
Citations per field
00.5×1.5×
Vanesa L. Silvestri · 1×
Citations per year

Countries citing papers authored by James E. Verdone

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with James E. Verdone Line = papers co-authored together James E. Verdone links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Polyclonal breast cancer metastases arise from collective dissemination of keratin 14-expressing tumor cell clusters
Hit paper breakdown →
2016558
2 2014150
3 201689
4 201688
5 201664
6 201655
7 201734
8 201823
9 201520
10 201417
11 202117
12 201815
13 201715
14 201811
15 20149
16 20176
17 20165
18 20191

About James E. Verdone

James E. Verdone is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Cell Biology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Prostate Cancer Treatment and Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Cellular Mechanics and Interactions (2 papers), Cell Image Analysis Techniques (2 papers), Advanced X-ray Imaging Techniques (1 paper), Renal cell carcinoma treatment (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Cancer Research (381 citations), Oncology (585 citations), Cell Biology (202 citations), Molecular Biology (454 citations) and Modeling and Simulation (30 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, Koen Schipper, Joshua D. Cohen, Kevin J. Cheung, Joel S. Bader, Andrew J. Ewald, Vanesa L. Silvestri, Veena Padmanaban and James R. Hernandez. Their work appears in journals such as Oncotarget, Medical Oncology, BioTechniques, Nature Reviews Urology and Molecular 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.

Explore authors with similar magnitude of impact