David Dankort
- Oncology top 1%
- HER2/EGFR in Cancer Research 13
- Cancer-related Molecular Pathways 6
- Cancer Cells and Metastasis 4
- Immunology and Allergy top 2%
- Cancer Research top 5%
- Molecular Biology top 2%
- Melanoma and MAPK Pathways 9
- PI3K/AKT/mTOR signaling in cancer 7
- Cell Biology top 5%
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- Monoclonal and Polyclonal Antibodies Research 11
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- Cancer Mechanisms and Therapy 4
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- Axon Guidance and Neuronal Signaling 4
- Co-authors
- William J. MullerMartin McMahonDavid P. CurleyPeter M. SiegelMarcus BosenbergWilliam DamskyAnthony N. KarnezisBetsy Nelson
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
David Dankort
39 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Oncology 2.0k
- Immunology and Allergy 254
- Cancer Research 581
- Molecular Biology 2.6k
- Cell Biology 449
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 2 | |
| 2 | 2015 | 14 | |
| 3 | 2015 | 87 | |
| 4 | 2014 | 21 | |
| 5 | 2014 | 53 | |
| 6 | 2014 | 5 | |
| 7 | 2013 | 6 | |
| 8 | 2013 | 11 | |
| 9 | 2012 | 78 | |
| 10 | 2012 | 219 | |
| 11 | 2011 | 267 | |
| 12 | 2010 | 73 | |
| 13 | 2007 | 373 | |
| 14 | 2004 | 13 | |
| 15 | 2004 | 106 | |
| 16 | 2004 | 23 | |
| 17 | 2004 | 94 | |
| 18 | 2001 | 50 | |
| 19 | 2001 | 138 | |
| 20 | 1994 | 167 |
About David Dankort
David Dankort is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cancer Research and Immunology and Allergy, having authored 39 papers that have together received 3.9k 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 (9 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Cancer-related Molecular Pathways (6 papers), Cancer Mechanisms and Therapy (4 papers), Cancer Cells and Metastasis (4 papers) and Axon Guidance and Neuronal Signaling (4 papers). The work is most often cited by research in Oncology (2.0k citations), Immunology and Allergy (254 citations), Cancer Research (581 citations), Molecular Biology (2.6k citations) and Cell Biology (449 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, Peter M. Siegel, Marcus Bosenberg, William Damsky, Anthony N. Karnezis, Betsy Nelson, Ronald A. DePinho and M. James You. Their work appears in journals such as Molecular and Cellular Biology, Oncogene, Cancer Research, Proceedings of the National Academy of Sciences and Molecular Cancer Research.
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.