Catherine Monnot

3.2k citations
44 papers · 2.4k · h-index 25

Impact in

Papers in

Catherine Monnot

41 papers receiving 2.4k citations

Peers

Catherine Monnot
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 911
  • Cancer Research 409
  • Immunology and Allergy 104
  • Molecular Biology 1.2k
  • Endocrinology, Diabetes and Metabolism 249
Replace Tae‐Hwa Chun with:
Tae‐Hwa Chun United States
W. Matthijs Blankesteijn Netherlands
Mika Ilves Finland
M. C. Capogrossi Italy
M Eghbali United States
Elissavet Kardami Canada
Joanne Bruno United States
Koichi Nishiyama Japan
Yee Sook Cho South Korea
Donal MacGrogan United States
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Citations per field
00.5×1.7×
Tae‐Hwa Chun · 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003276
2 2006206
3 1996180
4 2011157
5 2018150
6 2006147
7 1993147
8 201392
9 201089
10 199485
11 200383
12 198678
13 200871
14 199668
15 201363
16 199447
17 201643
18 202043
19 199243
20 200638

About Catherine Monnot

Catherine Monnot is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Cancer Research and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 2.4k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 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 Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (911 citations), Cancer Research (409 citations), Immunology and Allergy (104 citations), Molecular Biology (1.2k citations) and Endocrinology, Diabetes and Metabolism (249 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, Sébastien Le Jan, B Teutsch and Pierre Corvol. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Cardiology, Biochemical and Biophysical Research Communications, Hypertension and Acta Biomaterialia.

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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