David Canner
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Immune Cell Function and Interaction
Papers in
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- Immune Cell Function and Interaction 3
- IL-33, ST2, and ILC Pathways 2
- T-cell and B-cell Immunology 2
- Oncology 3
- Cancer Immunotherapy and Biomarkers 2
- Cancer Treatment and Pharmacology 1
- Co-authors
- Gabriel B. Loeb (2 shared papers)Alexander Y. Rudensky (2 shared papers)Jay Shendure (1 shared paper)Joseph B. Hiatt (1 shared paper)Robert B. Darnell (1 shared paper)Christina S. Leslie (1 shared paper)Aly A. Khan (1 shared paper)Tyler Jacks (5 shared papers)
- Journals
- Journal of Structural Biology (1 paper)Cell Reports (1 paper)Molecular Cell (1 paper)Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
David Canner
9 papers receiving 719 citations
David Canner's Hit Papers
Peers
Comparison fields: 5 of 81
- Cancer Research 276
- Immunology 198
- Molecular Biology 383
- Pulmonary and Respiratory Medicine 177
- Oncology 100
Countries citing papers authored by David Canner
This map shows the geographic impact of David Canner'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 Canner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Canner more than expected).
Fields of papers citing papers by David Canner
This network shows the impact of papers produced by David Canner. 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 Canner. The network helps show where David Canner may publish in the future.
Co-authors
The 25 scholars most cited alongside David Canner, 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 | 2012 | 266 | |
| 2 | Anatomically and Functionally Distinct Lung Mesenchymal Populations Marked by Lgr5 and Lgr6 Hit paper breakdown → | 2017 | 256 |
| 3 | 2013 | 91 | |
| 4 | 2019 | 53 | |
| 5 | 2011 | 48 | |
| 6 | 2021 | 3 | |
| 7 | 2011 | 2 | |
| 8 | 2018 | 1 | |
| 9 | 2019 | 1 |
About David Canner
David Canner is a scholar working on Immunology, Oncology, Cancer Research, Surgery and Molecular Biology, having authored 9 papers that have together received 721 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), MicroRNA in disease regulation (2 papers), IL-33, ST2, and ILC Pathways (2 papers), T-cell and B-cell Immunology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cancer Treatment and Pharmacology (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (276 citations), Immunology (198 citations), Molecular Biology (383 citations), Pulmonary and Respiratory Medicine (177 citations) and Oncology (100 citations). David Canner has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Gabriel B. Loeb, Alexander Y. Rudensky, Jay Shendure, Joseph B. Hiatt, Robert B. Darnell, Christina S. Leslie, Aly A. Khan, Tyler Jacks, Joo‐Hyeon Lee and Tuomas Tammela. Their work appears in journals such as Journal of Structural Biology, Cell Reports, Molecular Cell, Cell and Proceedings of the National Academy of Sciences.
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.