Marie‐Aude Devynck

2.6k citations
86 papers · 2.2k indexed · h-index 26

Marie‐Aude Devynck

86 papers receiving 2.0k citations

Peers

Marie‐Aude Devynck
Comparison fields: 5 of 122
  • Physiology 624
  • Cardiology and Cardiovascular Medicine 449
  • Biochemistry 136
  • Cellular and Molecular Neuroscience 322
  • Endocrinology, Diabetes and Metabolism 291
Replace G. Zürcher with:
G. Zürcher Switzerland
Yoshiki Yui Japan
G. Haeusler Austria
Robert T. Mallet United States
Heather Macarthur United States
R R Ruffolo United States
Kim‐Hanh Le Quan Sang France
G. Feuerstein United States
Keri L.H. Carpenter United Kingdom
A.G. Herman Belgium
Marie‐Aude Devynck relative to G. Zürcher Switzerland G. Zürcher's profile →
Citations per field
00.5×1.5×2.0×
G. Zürcher · 1×
Citations per year

Countries citing papers authored by Marie‐Aude Devynck

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Aude Devynck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Aude Devynck. 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 Marie‐Aude Devynck. The network helps show where Marie‐Aude Devynck may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2004137
2 20026
3 20013
4 20017
5 20015
6 199712
7 19975
8 199788
9 199621
10 199629
11 19965
12 19955
13 19956
14 199319
15 199218
16 19923
17 19897
18 198821
19 198863
20 19871

About Marie‐Aude Devynck

Marie‐Aude Devynck is a scholar working on Physiology, Physiology, Biochemistry, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 86 papers that have together received 2.2k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (22 papers), Receptor Mechanisms and Signaling (13 papers), Ion channel regulation and function (12 papers), Ion Transport and Channel Regulation (9 papers), Erythrocyte Function and Pathophysiology (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Antiplatelet Therapy and Cardiovascular Diseases (8 papers) and Renin-Angiotensin System Studies (7 papers). The work is most often cited by research in Physiology (624 citations), Cardiology and Cardiovascular Medicine (449 citations), Biochemistry (136 citations), Cellular and Molecular Neuroscience (322 citations) and Endocrinology, Diabetes and Metabolism (291 citations). Marie‐Aude Devynck has collaborated with scholars based in France, Czechia and Australia. Frequent co-authors include Philippe Meyer, Kim‐Hanh Le Quan Sang, Marie-Gabrielle Pernollet, Monique David‐Dufilho, Frédérique Lantoine, Annie Brunet, Ricardo P. Garay, Georges Dagher, Thérèse Montenay-Garestier and P Meyer. Their work appears in journals such as Journal of Hypertension, European Journal of Pharmacology, Journal of Cardiovascular Pharmacology, Clinical Science and American Journal of Hypertension.

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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