M Bellet

939 citations
31 papers · 574 indexed · h-index 13

M Bellet

29 papers receiving 531 citations

Peers

M Bellet
Comparison fields: 5 of 70
  • Cardiology and Cardiovascular Medicine 321
  • Transplantation 21
  • Endocrinology, Diabetes and Metabolism 112
  • Cellular and Molecular Neuroscience 78
  • Nephrology 26
Replace P Sassano with:
P Sassano France
Hillel S. Ribner United States
T. Ninomiya Japan
T. Fasanella D'amore United States
J Meyer Germany
Lennard Tang Jespersen Denmark
G. J. Wenting Netherlands
Gen Yasuda Japan
N. Scott United Kingdom
M. A. Boim Brazil
M Bellet relative to P Sassano France P Sassano's profile →
Citations per field
00.5×10×15×
P Sassano · 1×
Citations per year

Countries citing papers authored by M Bellet

Since Specialization
Citations

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

Fields of papers citing papers by M Bellet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202059
2 20192
3 20106
4 19929
5
Use of crossover trials to obtain antihypertensive dose-response curves and to study combination therapy during the development of benazepril.
19905
6 19907
7 198937
8 198914
9 198718
10 198741
11 1985112
12 198546
13 198526
14 19851
15 19847
16
[Arterial hypertension induced by drugs].
19821
17 198148
18
Central hypotensive effect of diprenorphine in normotensive rat and SHR.
19814
19
[Cholangio-carcinoma arising in Caroli's disease (author's transl)].
19791
20
[Angiographic signs of extra-dural hematomas of the posterior fossa (author's transl)].
19790

About M Bellet

M Bellet is a scholar working on Cardiology and Cardiovascular Medicine, Biochemistry and Transplantation, having authored 31 papers that have together received 574 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (7 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Receptor Mechanisms and Signaling (3 papers), Renin-Angiotensin System Studies (3 papers), Neuropeptides and Animal Physiology (3 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (321 citations), Transplantation (21 citations) and Endocrinology, Diabetes and Metabolism (112 citations). M Bellet has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Joël Ménard, Pierre Corvol, P Sassano, Christèle Kandalaft, Philippe Léger, Parisa Danaietash, Paul E. Verweij, Bruno Flamion, Joël Ménard and H. Schmitt. Their work appears in journals such as Journal of Hypertension, Journal of Cardiovascular Pharmacology, British Journal of Clinical Pharmacology, Journal of Clinical Hypertension and Respiration.

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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