Catherine Monnot

3.1k citations
43 papers · 2.4k · h-index 25

Impact in

Papers in

Catherine Monnot

41 papers receiving 2.3k citations

Peers

Catherine Monnot
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 958
  • Cancer Research 517
  • Molecular Biology 1.3k
  • Endocrinology, Diabetes and Metabolism 292
  • Immunology and Allergy 106
Replace W. Matthijs Blankesteijn with:
W. Matthijs Blankesteijn Netherlands
M. C. Capogrossi Italy
Mika Ilves Finland
Behrooz G. Sharifi United States
Joanne Bruno United States
M Eghbali United States
Koichi Nishiyama Japan
Markus Hosang Switzerland
Yee Sook Cho South Korea
Anna Hultgårdh‐Nilsson Sweden
Catherine Monnot relative to W. Matthijs Blankesteijn Netherlands W. Matthijs Blankesteijn's profile →
Citations per field
00.5×1.5×2.4×
W. Matthijs Blankesteijn · 1×
Citations per year

Countries citing papers authored by Catherine Monnot

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Monnot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003275
2 2006206
3 1996179
4 2011155
5 2006147
6 1993147
7 2018144
8 201391
9 201088
10 199485
11 200383
12 198678
13 200871
14 199668
15 201361
16 199447
17 199243
18 201642
19 202041
20 200637

About Catherine Monnot

Catherine Monnot is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Cell Biology and Surgery, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (16 papers), Lipid metabolism and disorders (10 papers), Receptor Mechanisms and Signaling (9 papers), Renin-Angiotensin System Studies (8 papers), Cellular Mechanics and Interactions (5 papers), Cell Adhesion Molecules Research (3 papers), Neuropeptides and Animal Physiology (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (958 citations), Cancer Research (517 citations), Molecular Biology (1.3k citations), Endocrinology, Diabetes and Metabolism (292 citations) and Immunology and Allergy (106 citations). Catherine Monnot has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Stéphane Germain, Pierre Corvol, Laurent Muller, Éric Clauser, Aurélie Cazes, Claire Bihoreau, Sophie Conchon, B Teutsch, Sébastien Le Jan and Pierre Corvol. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Cardiology, Acta Biomaterialia, Hypertension and Biochemical and Biophysical Research Communications.

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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