David Allard

6.1k citations
42 papers · 2.1k · 1 hit paper · h-index 19

Impact in

  • Physiology top 0.2%
    • Adenosine and Purinergic Signaling
    • Paleontology and Stratigraphy of Fossils

Papers in

    • Adenosine and Purinergic Signaling 14
    • Cancer Immunotherapy and Biomarkers 5
    • Peptidase Inhibition and Analysis 4

David Allard

40 papers receiving 2.1k citations

David Allard's Hit Papers

The adenosine pathway in immuno-oncology 2020 · 390 citations
3900+2+4Years since publication100200300

Peers

David Allard
Comparison fields: 5 of 121
  • Physiology 618
  • Paleontology 233
  • Immunology 491
  • Oncology 536
  • Cancer Research 197
Replace Tomohiro Kawaguchi with:
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Julia Liu United States
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Qiyuan Li China
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David Allard relative to Tomohiro Kawaguchi Japan Tomohiro Kawaguchi's profile →
Citations per field
00.5×10.5×
Tomohiro Kawaguchi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside David Allard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Allard Line = papers co-authored together David Allard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The adenosine pathway in immuno-oncology
Hit paper breakdown →
2020390
2 1994247
3 2006187
4 1989179
5
ERBB2 up-regulates S100A4 and several other prometastatic genes in medulloblastoma.
2003140
6 2018116
7 2016109
8 202099
9 201795
10 201793
11 200877
12 201964
13 202250
14 201642
15 201928
16 201626
17 202122
18 201622
19 202321
20 202312

About David Allard

David Allard is a scholar working on Physiology, Oncology, Molecular Biology, Immunology and Safety, Risk, Reliability and Quality, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (14 papers), Cancer Immunotherapy and Biomarkers (5 papers), Peptidase Inhibition and Analysis (4 papers), Immune Cell Function and Interaction (4 papers), Nuclear and radioactivity studies (3 papers), Immune cells in cancer (3 papers), Ubiquitin and proteasome pathways (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Physiology (618 citations), Paleontology (233 citations), Immunology (491 citations), Oncology (536 citations) and Cancer Research (197 citations). David Allard has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include John Stagg, Bertrand Allard, Laurence Buisseret, Michael A. Arthur, Pavel Chrobák, D. S. Jones, Seymour O. Schlanger, William V. Sliter, Martin Turcotte and Timothy J. Bralower. Their work appears in journals such as Health Physics, Cancer Research, Nature Reviews Clinical Oncology, Journal for ImmunoTherapy of Cancer and Medical Physics.

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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