David Canner

1.9k total citations · 1 hit paper
9 papers, 721 citations indexed

About

David Canner is a scholar working on Immunology, Oncology and Cancer Research. According to data from OpenAlex, David Canner has authored 9 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in David Canner's work include Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). David Canner is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). David Canner collaborates with scholars based in United States, Israel and United Kingdom. David Canner's co-authors include Alexander Y. Rudensky, Gabriel B. Loeb, Aly A. Khan, Christina S. Leslie, Robert B. Darnell, Jay Shendure, Joseph B. Hiatt, Tyler Jacks, Katherine Wu and Aviv Regev and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

David Canner

9 papers receiving 719 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Anatomically and Functionally Distinct Lung Mesenchymal Populations Marked by Lgr5 and Lgr6

2017 256 citations Joo‐Hyeon Lee, Tuomas Tammela et al. Cell profile →

Peers

David Canner

MB

CR

IMMUN

PRM

SURGE

Yun Xu China

Guoyin Li China

Sophie Couvé France

Zhi-Ming Shao China

Boyao Yu China

Yeo Song Lee South Korea

He Dou China

Jingqin Lan China

Yifei Feng China

Yun Xu China

David Canner

360 ×0.9

MB

265 ×1.0

CR

75 ×0.4

IMMUN

101 ×0.6

PRM

101 ×0.8

SURGE

Citations per year, relative to David Canner David Canner (= 1×) peers Yun Xu

Countries citing papers authored by David Canner

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Canner

This figure shows the co-authorship network connecting the top 25 collaborators of David Canner. A scholar is included among the top collaborators of David Canner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Canner. David Canner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Burger, Megan L., Giorgio Gaglia, Cecily C. Ritch, et al.. (2021). Antigen Dominance Hierarchies Shape TCF1+ Progenitor CD8 T Cell Phenotypes in Tumors. SSRN Electronic Journal. 3 indexed citations

2.

Li, Amy, Rebecca H. Herbst, David Canner, et al.. (2019). IL-33 Signaling Alters Regulatory T Cell Diversity in Support of Tumor Development. Cell Reports. 29(10). 2998–3008.e8. 53 indexed citations

3.

Li, Amy, Rebecca H. Herbst, David Canner, et al.. (2019). Longitudinal Single Cell Profiling of Regulatory T Cells Identifies IL-33 as a Driver of Tumor Immunosuppression. SSRN Electronic Journal. 1 indexed citations

4.

Smith, Olivia, Peter M.K. Westcott, David Canner, et al.. (2018). Abstract LB-284: Engineering a hypermutant mouse model of NSCLC to modulate immune response. Cancer Research. 78(13_Supplement). LB–284. 1 indexed citations

5.

Lee, Joo‐Hyeon, Tuomas Tammela, Matan Hofree, et al.. (2017). Anatomically and Functionally Distinct Lung Mesenchymal Populations Marked by Lgr5 and Lgr6. Cell. 170(6). 1149–1163.e12. 256 indexed citations breakdown →

6.

Zawislak, Carolyn L., Aimee M. Beaulieu, Gabriel B. Loeb, et al.. (2013). Stage-specific regulation of natural killer cell homeostasis and response against viral infection by microRNA-155. Proceedings of the National Academy of Sciences. 110(17). 6967–6972. 91 indexed citations

7.

Loeb, Gabriel B., Aly A. Khan, David Canner, et al.. (2012). Transcriptome-wide miR-155 Binding Map Reveals Widespread Noncanonical MicroRNA Targeting. Molecular Cell. 48(5). 760–770. 266 indexed citations

8.

Canner, David. (2011). Proteopedia entry: HMG‐CoA reductase. Biochemistry and Molecular Biology Education. 39(1). 64–64. 2 indexed citations

9.

Prilusky, Jaime, Eran Hodis, David Canner, et al.. (2011). Proteopedia: A status report on the collaborative, 3D web-encyclopedia of proteins and other biomolecules. Journal of Structural Biology. 175(2). 244–252. 48 indexed citations

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.

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