Danielle Denis

37 papers receiving 1.9k citations

Peers

Danielle Denis
Comparison fields: 5 of 109
  • Pharmacology 825
  • Biochemistry 282
  • Physiology 451
  • Organic Chemistry 478
  • Pharmacology 121
Replace Chi‐Chung Chan with:
Chi‐Chung Chan Canada
Jocelyne Guay Canada
David Aharony United States
C S Ramesha United States
S. Charleson Canada
Sharon Sadowski United States
F.A. Fitzpatrick United States
Tsumoru Miyamoto Japan
Sven Hammarström Sweden
Thomas J. Carty United States
Danielle Denis relative to Chi‐Chung Chan Canada Chi‐Chung Chan's profile →
Citations per field
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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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000473
2 1999287
3 2001111
4 199998
5 200878
6 200368
7 200267
8 200465
9 199263
10 200149
11 201046
12 200443
13 200039
14 200538
15 200835
16 199932
17 201029
18 201029
19 200627
20 200527

About Danielle Denis

Danielle Denis is a scholar working on Pharmacology, Molecular Biology, Physiology, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (22 papers), Asthma and respiratory diseases (11 papers), Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (7 papers), Estrogen and related hormone effects (7 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Synthesis of β-Lactam Compounds (5 papers) and Synthesis and Biological Evaluation (3 papers). The work is most often cited by research in Pharmacology (825 citations), Biochemistry (282 citations), Physiology (451 citations), Organic Chemistry (478 citations) and Pharmacology (121 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 Tremblay, Robert J. Gordon, Marc Labelle and Hélène Jûteau. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Molecular Pharmacology, European Journal of Biochemistry, Journal of Pharmacology and Experimental Therapeutics and FEBS Letters.

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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