Danielle Jacques

2.9k citations
115 papers · 2.6k · h-index 30

Impact in

Papers in

Danielle Jacques

112 papers receiving 2.5k citations

Peers

Danielle Jacques
Comparison fields: 5 of 118
  • Cellular and Molecular Neuroscience 955
  • Endocrine and Autonomic Systems 231
  • Cardiology and Cardiovascular Medicine 672
  • Molecular Biology 1.5k
  • Physiology 446
Replace Jeffrey R. Jasper with:
Jeffrey R. Jasper United States
Nambi Aiyar United States
Kunio Ishii Japan
Martha E. O’Donnell United States
Michèle Darmon France
Bernard Masri France
Sarah Jones United Kingdom
Elizabeth A. Woodcock Australia
Chiyoko Inagaki Japan
Kathleen D. Keef United States
Danielle Jacques relative to Jeffrey R. Jasper United States Jeffrey R. Jasper's profile →
Citations per field
00.5×3.7×
Jeffrey R. Jasper · 1×
Citations per year

Countries citing papers authored by Danielle Jacques

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Jacques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle Jacques, 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 Jacques Line = papers co-authored together Danielle Jacques links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998167
2 2007116
3 2000111
4 199790
5 199787
6 200366
7 199559
8 201956
9 200353
10 200653
11 200047
12 199941
13 199741
14 201041
15 200839
16 200939
17 200038
18 199238
19 202337
20 198836

About Danielle Jacques

Danielle Jacques is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Physiology and Endocrinology, Diabetes and Metabolism, having authored 115 papers that have together received 2.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (45 papers), Ion channel regulation and function (25 papers), Neuropeptides and Animal Physiology (20 papers), Nitric Oxide and Endothelin Effects (19 papers), Cardiac electrophysiology and arrhythmias (19 papers), Renin-Angiotensin System Studies (17 papers), Neuroscience and Neuropharmacology Research (12 papers) and Cardiomyopathy and Myosin Studies (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (955 citations), Endocrine and Autonomic Systems (231 citations), Cardiology and Cardiovascular Medicine (672 citations), Molecular Biology (1.5k citations) and Physiology (446 citations). Danielle Jacques has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Ghassan Bkaily, Yvan Dumont, Pedro D’Orléans-Juste, Levon Avedanian, Sawsan Sader, Johny Al-Khoury, Pierre Pothier, Ghada S. Hassan, Pascale Bouchard and R�mi Quirion. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Molecular and Cellular Biochemistry, Journal of Cardiovascular Pharmacology, Peptides and Nutrients.

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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