David Allard

6.0k total citations · 1 hit paper
37 papers, 2.1k citations indexed

About

David Allard is a scholar working on Physiology, Oncology and Immunology. According to data from OpenAlex, David Allard has authored 37 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 12 papers in Oncology and 9 papers in Immunology. Recurrent topics in David Allard's work include Adenosine and Purinergic Signaling (14 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Immune Cell Function and Interaction (5 papers). David Allard is often cited by papers focused on Adenosine and Purinergic Signaling (14 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Immune Cell Function and Interaction (5 papers). David Allard collaborates with scholars based in Canada, United States and Belgium. David Allard's co-authors include John Stagg, Bertrand Allard, Laurence Buisseret, Michael A. Arthur, D. S. Jones, Pavel Chrobák, R. Mark Leckie, William V. Sliter, Seymour O. Schlanger and Timothy J. Bralower and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and PLoS ONE.

In The Last Decade

David Allard

37 papers receiving 2.0k citations

Hit Papers

The adenosine pathway in immuno-oncology 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Allard Canada 19 677 612 609 538 233 37 2.1k
Tomohiro Kawaguchi Japan 26 926 1.4× 233 0.4× 63 0.1× 69 0.1× 209 0.9× 110 2.8k
Claudia Cosentino Italy 28 1.0k 1.5× 223 0.4× 54 0.1× 61 0.1× 51 0.2× 55 2.4k
Satoshi Kitajima Japan 28 1.9k 2.8× 174 0.3× 53 0.1× 104 0.2× 38 0.2× 88 3.6k
Zhenxin Li China 20 570 0.8× 135 0.2× 74 0.1× 371 0.7× 13 0.1× 106 1.9k
Leif Johansson Sweden 22 307 0.5× 354 0.6× 77 0.1× 71 0.1× 37 0.2× 48 1.3k
Qiyuan Li China 24 3.2k 4.7× 1.6k 2.6× 32 0.1× 437 0.8× 26 0.1× 106 5.2k
Jack Green United States 27 1.5k 2.2× 298 0.5× 44 0.1× 309 0.6× 22 0.1× 68 2.7k
Taketoshi Kodama Japan 26 745 1.1× 163 0.3× 30 0.0× 365 0.7× 15 0.1× 100 2.6k
Mark Lewis United Kingdom 23 262 0.4× 79 0.1× 58 0.1× 92 0.2× 431 1.8× 79 1.6k
Amy J. Williams United States 31 3.0k 4.5× 767 1.3× 23 0.0× 1.4k 2.6× 101 0.4× 69 5.7k

Countries citing papers authored by David Allard

Since Specialization
Citations

This map shows the geographic impact of David Allard'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 Allard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Allard more than expected).

Fields of papers citing papers by David Allard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Allard. 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 Allard. The network helps show where David Allard may publish in the future.

Co-authorship network of co-authors of David Allard

This figure shows the co-authorship network connecting the top 25 collaborators of David Allard. A scholar is included among the top collaborators of David Allard 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 Allard. David Allard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Allard, David, et al.. (2024). Adenosine Uptake through the Nucleoside Transporter ENT1 Suppresses Antitumor Immunity and T-cell Pyrimidine Synthesis. Cancer Research. 85(4). 692–703. 7 indexed citations
3.
Allard, Bertrand, Célia Jacoberger-Foissac, Isabelle Cousineau, et al.. (2023). Adenosine A2A receptor is a tumor suppressor of NASH-associated hepatocellular carcinoma. Cell Reports Medicine. 4(9). 101188–101188. 19 indexed citations
4.
Jacoberger-Foissac, Célia, Bertrand Allard, David Allard, & John Stagg. (2023). Assessing the Efficacy of Immune Checkpoint Inhibitors in Preclinical Tumor Models. Methods in molecular biology. 2614. 151–169. 2 indexed citations
5.
Jacoberger-Foissac, Célia, Isabelle Cousineau, Yacine Barèche, et al.. (2022). CD73 Inhibits cGAS–STING and Cooperates with CD39 to Promote Pancreatic Cancer. Cancer Immunology Research. 11(1). 56–71. 46 indexed citations
6.
Wang, Dee Dee, William W. O’Neill, Marcus Zervos, et al.. (2021). Association Between Implementation of a Universal Face Mask Policy for Healthcare Workers in a Health Care System and SARS-CoV-2 Positivity Testing Rate in Healthcare Workers. Journal of Occupational and Environmental Medicine. 63(6). 476–481. 8 indexed citations
7.
Barèche, Yacine, Sandra Pommey, Laurence Buisseret, et al.. (2021). High-dimensional analysis of the adenosine pathway in high-grade serous ovarian cancer. Journal for ImmunoTherapy of Cancer. 9(3). e001965–e001965. 21 indexed citations
8.
Allard, Bertrand, David Allard, Laurence Buisseret, & John Stagg. (2020). The adenosine pathway in immuno-oncology. Nature Reviews Clinical Oncology. 17(10). 611–629. 370 indexed citations breakdown →
9.
Allard, David, et al.. (2019). Targeting the adenosine pathway for cancer immunotherapy. Seminars in Immunology. 42. 101304–101304. 63 indexed citations
10.
Allard, David, et al.. (2018). CD73-A2a adenosine receptor axis promotes innate B cell antibody responses to pneumococcal polysaccharide vaccination. PLoS ONE. 13(1). e0191973–e0191973. 5 indexed citations
11.
Allard, David, Pavel Chrobák, Bertrand Allard, Nouredin Messaoudi, & John Stagg. (2018). Targeting the CD73-adenosine axis in immuno-oncology. Immunology Letters. 205. 31–39. 114 indexed citations
12.
Turcotte, Martin, David Allard, Deepak Mittal, et al.. (2017). CD73 Promotes Resistance to HER2/ErbB2 Antibody Therapy. Cancer Research. 77(20). 5652–5663. 94 indexed citations
13.
Charlebois, Roxanne, Bertrand Allard, David Allard, et al.. (2016). PolyI:C and CpG Synergize with Anti-ErbB2 mAb for Treatment of Breast Tumors Resistant to Immune Checkpoint Inhibitors. Cancer Research. 77(2). 312–319. 26 indexed citations
14.
Azevedo‐Pouly, Ana Clara P., Dhruvitkumar S. Sutaria, Jinmai Jiang, et al.. (2016). miR-216 and miR-217 expression is reduced in transgenic mouse models of pancreatic adenocarcinoma, knockout of miR-216/miR-217 host gene is embryonic lethal. Functional & Integrative Genomics. 17(2-3). 203–212. 22 indexed citations
15.
Allard, Bertrand, David Allard, & John Stagg. (2016). Methods to Evaluate the Antitumor Activity of Immune Checkpoint Inhibitors in Preclinical Studies. Methods in molecular biology. 1458. 159–177. 9 indexed citations
16.
Jiang, Jinmai, Ana Clara P. Azevedo‐Pouly, Roxana S. Redis, et al.. (2016). Globally increased ultraconserved noncoding RNA expression in pancreatic adenocarcinoma. Oncotarget. 7(33). 53165–53177. 39 indexed citations
17.
Allard, David, Bertrand Allard, Pierre-Olivier Gaudreau, Pavel Chrobák, & John Stagg. (2016). CD73–Adenosine: A Next-Generation Target in Immuno-Oncology. Immunotherapy. 8(2). 145–163. 107 indexed citations
19.
Hernán, Roberto, Christopher Calabrese, Adrian Frank, et al.. (2003). ERBB2 up-regulates S100A4 and several other prometastatic genes in medulloblastoma.. PubMed. 63(1). 140–8. 140 indexed citations
20.
Allard, David, et al.. (1991). Radioactivity in Zirconium Oxide Powders Used in Industrial Applications. Health Physics. 60(6). 859–862. 5 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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