Virginie Mattot

3.4k citations
35 papers · 1.7k indexed · 1 hit paper · h-index 22

Virginie Mattot

34 papers receiving 1.6k citations

Hit Papers

Impaired myocardial angiogenesis and ischemic cardiomyopa...5291999202620082017100200300400500

Peers

Virginie Mattot
Comparison fields: 5 of 94
  • Cancer Research 455
  • Immunology and Allergy 142
  • Molecular Biology 1.1k
  • Sensory Systems 63
  • Oncology 286
Replace Mayumi Jijiwa with:
Mayumi Jijiwa Japan
Florence Cabon France
Amaya García de Vinuesa Netherlands
Joachim R. Göthert Germany
Brad A. Bryan United States
Sebastian Albinsson Sweden
Gregory S. Robinson United States
Μαρία Γεωργιάδου Finland
Kerstin Troidl Germany
Ulf Dahl Sweden
Virginie Mattot relative to Mayumi Jijiwa Japan Mayumi Jijiwa's profile →
Citations per field
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Mayumi Jijiwa · 1×
Citations per year

Countries citing papers authored by Virginie Mattot

Since Specialization
Citations

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

Fields of papers citing papers by Virginie Mattot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20240
3 201772
4 201721
5 201612
6 201628
7 201445
8 201319
9 201140
10 201019
11 200922
12 200936
13 200768
14 200223
15 200287
16 200031
17
Impaired myocardial angiogenesis and ischemic cardiomyopathy in mice lacking the vascular endothelial growth factor isoforms VEGF164 and VEGF188breakdown →
1999529
18
De nouveaux outils pour bloquer l’angiogenèse tumorale
19972
19 199711
20 199526

About Virginie Mattot

Virginie Mattot is a scholar working on Immunology and Allergy, Cancer Research and Behavioral Neuroscience, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (17 papers), Cell Adhesion Molecules Research (9 papers), MicroRNA in disease regulation (3 papers), Microbial metabolism and enzyme function (2 papers), Connective tissue disorders research (2 papers), Neurobiology and Insect Physiology Research (2 papers), Ubiquitin and proteasome pathways (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Cancer Research (455 citations), Immunology and Allergy (142 citations) and Molecular Biology (1.1k citations). Virginie Mattot has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Fabrice Soncin, Bernard Vandenbunder, Florea Lupu, Etienne Lelièvre, Peter Carmeliet, Lieve Moons, Gaëlle Villain, Yin‐Shan Ng, Koen Brusselmans and Ivo Cornelissen. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Nature 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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