Danielle Denis

42 papers receiving 2.2k citations

Peers

Danielle Denis
Comparison fields: 5 of 92
  • Pharmacology 830
  • Biochemistry 249
  • Organic Chemistry 479
  • Physiology 53
  • Physiology 291
Replace Maria Cristina Breschi with:
Maria Cristina Breschi Italy
Jocelyne Guay Canada
France Laliberté Canada
Andreas W. Herling Germany
Stella E. Charleson Canada
Serge Léger Canada
Elizabeth Wong Canada
A W Ford‐Hutchinson United Kingdom
David Aharony United States
Yoshitaka Maki Japan
Danielle Denis relative to Maria Cristina Breschi Italy Maria Cristina Breschi's profile →
Citations per field
00.5×1.5×2×2.3×
Maria Cristina Breschi · 1×
Citations per year

Countries citing papers authored by Danielle Denis

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Denis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle Denis, 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 Danielle Denis Line = papers co-authored together Danielle Denis 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 2000484
2 1999292
3 2007153
4 2001109
5 1999102
6 200884
7 200373
8 199269
9 200269
10 200469
11 200151
12 201050
13 201046
14 200545
15 200444
16 200039
17 200838
18 200533
19 201033
20 199932

About Danielle Denis

Danielle Denis is a scholar working on Pharmacology, Biochemistry, Physiology, Organic Chemistry and Molecular Biology, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (29 papers), Receptor Mechanisms and Signaling (11 papers), Synthesis and biological activity (10 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Asthma and respiratory diseases (6 papers), Adenosine and Purinergic Signaling (5 papers), Neuropeptides and Animal Physiology (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Pharmacology (830 citations), Biochemistry (249 citations), Organic Chemistry (479 citations), Physiology (53 citations) and Physiology (291 citations). Danielle Denis has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kathleen M. Metters, F. Nantel, Nicole Sawyer, Sonia Lamontagne, Marie‐Claude Carrière, M. Cirino, Nathalie M. Tremblay, Denis Riendeau, Marc Labelle and Robert J. Gordon. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Molecular Pharmacology, European Journal of Biochemistry, Journal of Medicinal Chemistry and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

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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