Joshua D. Cohen
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 20
- Oncology top 5%
- Cancer Cells and Metastasis 5
- Pancreatic and Hepatic Oncology Research 5
- Colorectal Cancer Treatments and Studies 4
- Global Cancer Incidence and Screening 3
- Colorectal Cancer Surgical Treatments 3
- Pathology and Forensic Medicine top 10%
- Genetic factors in colorectal cancer 8
- Cell Biology top 10%
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- James E. VerdoneJoel S. BaderAndrew J. EwaldMichael A. GorinVanesa L. SilvestriVeena PadmanabanKenneth J. PientaKevin J. Cheung
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Clinical Oncology (12 papers)Nature Biotechnology (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Joshua D. Cohen
31 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Cancer Research 521
- Oncology 623
- Pathology and Forensic Medicine 188
- Cell Biology 164
- Molecular Biology 390
Countries citing papers authored by Joshua D. Cohen
This map shows the geographic impact of Joshua D. Cohen'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 Joshua D. Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua D. Cohen more than expected).
Fields of papers citing papers by Joshua D. Cohen
This network shows the impact of papers produced by Joshua D. Cohen. 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 Joshua D. Cohen. The network helps show where Joshua D. Cohen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joshua D. Cohen, 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 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 24 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 44 | |
| 11 | 2019 | 149 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 11 | |
| 14 | 2017 | 11 | |
| 15 | Polyclonal breast cancer metastases arise from collective dissemination of keratin 14-expressing tumor cell clustersbreakdown → | 2016 | 541 |
| 16 | 2013 | 3 | |
| 17 | 2013 | 1 | |
| 18 | 2013 | 64 | |
| 19 | 2010 | 36 | |
| 20 | 1992 | 109 |
About Joshua D. Cohen
Joshua D. Cohen is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Genetic factors in colorectal cancer (8 papers), Cancer Cells and Metastasis (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Global Cancer Incidence and Screening (3 papers), Colorectal Cancer Surgical Treatments (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cancer Research (521 citations), Oncology (623 citations) and Pathology and Forensic Medicine (188 citations). Joshua D. Cohen has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include James E. Verdone, Joel S. Bader, Andrew J. Ewald, Michael A. Gorin, Vanesa L. Silvestri, Veena Padmanaban, Kenneth J. Pienta, Kevin J. Cheung, Koen Schipper and Nickolas Papadopoulos. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Nature Biotechnology.
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.