Virginie Mattot
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology top 10%
- Cellular and Molecular Neuroscience top 10%
- Immunology
- Co-authors
- Fabrice SoncinBernard VandenbunderFlorea LupuEtienne LelièvrePeter CarmelietLieve MoonsGaëlle VillainYin‐Shan Ng
- Topics
- Angiogenesis and VEGF in Cancer (17 papers)Cell Adhesion Molecules Research (9 papers)MicroRNA in disease regulation (3 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Virginie Mattot
34 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.1k
- Cancer Research 455
- Oncology 286
- Cellular and Molecular Neuroscience 168
- Immunology 166
Countries citing papers authored by Virginie Mattot
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
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 of co-authors of Virginie Mattot
This figure shows the co-authorship network connecting the top 25 collaborators of Virginie Mattot. A scholar is included among the top collaborators of Virginie Mattot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Virginie Mattot. Virginie Mattot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 72 | |
| 4 | 21 | |
| 5 | 12 | |
| 6 | 28 | |
| 7 | 45 | |
| 8 | 19 | |
| 9 | 40 | |
| 10 | 19 | |
| 11 | 22 | |
| 12 | 36 | |
| 13 | 68 | |
| 14 | 23 | |
| 15 | 87 | |
| 16 | 31 | |
| 17 | Impaired myocardial angiogenesis and ischemic cardiomyopathy in mice lacking the vascular endothelial growth factor isoforms VEGF164 and VEGF188breakdown → | 529 |
| 18 | De nouveaux outils pour bloquer l’angiogenèse tumorale | 2 |
| 19 | 11 | |
| 20 | 26 |
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) and MicroRNA in disease regulation (3 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.