David Dankort
Impact in
- Oncology top 1%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
Papers in
- Oncology 27
- HER2/EGFR in Cancer Research 13
- Cancer-related Molecular Pathways 6
- Cancer Cells and Metastasis 4
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- Melanoma and MAPK Pathways 8
- PI3K/AKT/mTOR signaling in cancer 6
- Glycosylation and Glycoproteins Research 3
- Co-authors
- William J. Muller (18 shared papers)Martin McMahon (12 shared papers)David P. Curley (4 shared papers)Marcus Bosenberg (4 shared papers)Peter M. Siegel (5 shared papers)William Damsky (3 shared papers)Anthony N. Karnezis (2 shared papers)M. James You (1 shared paper)
- Journals
- Molecular and Cellular Biology (6 papers)Oncogene (5 papers)Cancer Research (4 papers)Genes & Development (2 papers)PLoS ONE (2 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
David Dankort
39 papers receiving 4.0k citations
David Dankort's Hit Papers
Peers
Comparison fields: 5 of 95
- Oncology 1.9k
- Immunology and Allergy 249
- Cancer Research 565
- Molecular Biology 2.6k
- Cell Biology 451
Countries citing papers authored by David Dankort
This map shows the geographic impact of David Dankort'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 Dankort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Dankort more than expected).
Fields of papers citing papers by David Dankort
This network shows the impact of papers produced by David Dankort. 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 Dankort. The network helps show where David Dankort may publish in the future.
Co-authors
The 25 scholars most cited alongside David Dankort, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BrafV600E cooperates with Pten loss to induce metastatic melanoma Hit paper breakdown → | 2009 | 868 |
| 2 | 2007 | 387 | |
| 3 | 2011 | 276 | |
| 4 | 2012 | 228 | |
| 5 | 2012 | 208 | |
| 6 | 1994 | 198 | |
| 7 | 1994 | 171 | |
| 8 | 2001 | 144 | |
| 9 | 1994 | 136 | |
| 10 | 1997 | 125 | |
| 11 | 2011 | 114 | |
| 12 | 2004 | 111 | |
| 13 | 2004 | 104 | |
| 14 | 2015 | 93 | |
| 15 | 2011 | 83 | |
| 16 | 2012 | 81 | |
| 17 | 2000 | 81 | |
| 18 | 2010 | 77 | |
| 19 | 2001 | 70 | |
| 20 | 2004 | 65 |
About David Dankort
David Dankort is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics and Cancer Research, having authored 39 papers that have together received 4.0k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (13 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Melanoma and MAPK Pathways (8 papers), Cancer-related Molecular Pathways (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Axon Guidance and Neuronal Signaling (4 papers), Cancer Cells and Metastasis (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Oncology (1.9k citations), Immunology and Allergy (249 citations), Cancer Research (565 citations), Molecular Biology (2.6k citations) and Cell Biology (451 citations). David Dankort has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include William J. Muller, Martin McMahon, David P. Curley, Marcus Bosenberg, Peter M. Siegel, William Damsky, Anthony N. Karnezis, M. James You, Betsy Nelson and Ronald A. DePinho. Their work appears in journals such as Molecular and Cellular Biology, Oncogene, Cancer Research, Genes & Development and PLoS ONE.
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.