David A. Canton
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
-
- Protein Kinase Regulation and GTPase Signaling
- Wnt/β-catenin signaling in development and cancer
- PI3K/AKT/mTOR signaling in cancer
Papers in
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- Protein Kinase Regulation and GTPase Signaling 9
- Oncology 11
- CAR-T cell therapy research 7
- Co-authors
- David W. Litchfield (9 shared papers)Cunjie Zhang (5 shared papers)Greg Vilk (3 shared papers)John D. Scott (6 shared papers)John A. Cooper (2 shared papers)Ronald B. Saulnier (2 shared papers)Denis G. Bosc (2 shared papers)Richard J. Connolly (4 shared papers)
- Journals
- Cancer Research (4 papers)Journal of Biological Chemistry (3 papers)Biochemical Journal (2 papers)Molecular Cell (2 papers)Gene Therapy (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
David A. Canton
34 papers receiving 811 citations
Peers
Comparison fields: 5 of 97
- Cell Biology 186
- Molecular Biology 548
- Oncology 204
- Immunology 128
- Biotechnology 43
Countries citing papers authored by David A. Canton
This map shows the geographic impact of David A. Canton'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 A. Canton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Canton more than expected).
Fields of papers citing papers by David A. Canton
This network shows the impact of papers produced by David A. Canton. 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 A. Canton. The network helps show where David A. Canton may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Canton, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 85 | |
| 2 | 2005 | 66 | |
| 3 | 2002 | 62 | |
| 4 | 2012 | 58 | |
| 5 | 2004 | 53 | |
| 6 | 2006 | 52 | |
| 7 | 2008 | 45 | |
| 8 | 2018 | 43 | |
| 9 | 2001 | 42 | |
| 10 | 2017 | 41 | |
| 11 | 2015 | 39 | |
| 12 | 2001 | 34 | |
| 13 | 2001 | 33 | |
| 14 | 2012 | 28 | |
| 15 | 2001 | 24 | |
| 16 | 2016 | 23 | |
| 17 | 2018 | 22 | |
| 18 | 2020 | 11 | |
| 19 | National Curriculum Standards: Let’s Think It Over | 2009 | 10 |
| 20 | 2022 | 10 |
About David A. Canton
David A. Canton is a scholar working on Molecular Biology, Oncology, Biotechnology, Cell Biology and Immunology, having authored 38 papers that have together received 831 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (10 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), CAR-T cell therapy research (7 papers), Toxin Mechanisms and Immunotoxins (5 papers), Microtubule and mitosis dynamics (5 papers), Transgenic Plants and Applications (4 papers), Race, History, and American Society (4 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Cell Biology (186 citations), Molecular Biology (548 citations), Oncology (204 citations), Immunology (128 citations) and Biotechnology (43 citations). David A. Canton has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include David W. Litchfield, Cunjie Zhang, Greg Vilk, John D. Scott, John A. Cooper, Ronald B. Saulnier, Denis G. Bosc, Richard J. Connolly, Jean S. Campbell and Robert H. Pierce. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Biochemical Journal, Molecular Cell and Gene Therapy.
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.