Gaëlle Cuzon
- Molecular Medicine top 0.05%
- Endocrinology top 0.1%
- Clinical Biochemistry top 0.2%
- Pharmacology top 1%
- Pollution top 1%
- Co-authors
- Patrice NordmannThierry NaasMaría Virginia VillegasJohn P. QuinnLaurent DortetY. GlupczynskiMarie-Frédérique LartigueLaurent Poirel
- Topics
- Antibiotic Resistance in Bacteria (39 papers)Enterobacteriaceae and Cronobacter Research (14 papers)Bacterial Identification and Susceptibility Testing (10 papers)
- Partner nations
- FranceSwitzerlandBelgium
In The Last Decade
Gaëlle Cuzon
47 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Molecular Medicine 3.6k
- Endocrinology 1.7k
- Clinical Biochemistry 933
- Pharmacology 831
- Pollution 795
Countries citing papers authored by Gaëlle Cuzon
This map shows the geographic impact of Gaëlle Cuzon'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 Gaëlle Cuzon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaëlle Cuzon more than expected).
Fields of papers citing papers by Gaëlle Cuzon
This network shows the impact of papers produced by Gaëlle Cuzon. 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 Gaëlle Cuzon. The network helps show where Gaëlle Cuzon may publish in the future.
Co-authorship network of co-authors of Gaëlle Cuzon
This figure shows the co-authorship network connecting the top 25 collaborators of Gaëlle Cuzon. A scholar is included among the top collaborators of Gaëlle Cuzon 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 Gaëlle Cuzon. Gaëlle Cuzon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 25 | |
| 3 | 49 | |
| 4 | 10 | |
| 5 | 44 | |
| 6 | 20 | |
| 7 | 101 | |
| 8 | 38 | |
| 9 | 5 | |
| 10 | 46 | |
| 11 | 84 | |
| 12 | 7 | |
| 13 | 18 | |
| 14 | KPC carbapenemases: what issue in clinical microbiology? | 1 |
| 15 | 21 | |
| 16 | The real threat of Klebsiella pneumoniae carbapenemase-producing bacteriabreakdown → | 1220 |
| 17 | 11 | |
| 18 | 387 | |
| 19 | 3 | |
| 20 | Quelques observations récentes sur lea piqures par poissons venimeux du genre Synanceja et étude disc-électrophorétique de leur venin. | 4 |
About Gaëlle Cuzon
Gaëlle Cuzon is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 47 papers that have together received 4.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (39 papers), Enterobacteriaceae and Cronobacter Research (14 papers) and Bacterial Identification and Susceptibility Testing (10 papers). The work is most often cited by research in Molecular Medicine (3.6k citations), Endocrinology (1.7k citations) and Applied Microbiology and Biotechnology (520 citations). Gaëlle Cuzon has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Patrice Nordmann, Thierry Naas, María Virginia Villegas, John P. Quinn, Laurent Dortet, Y. Glupczynski, Marie-Frédérique Lartigue, Laurent Poirel, Pierre Bogaerts and Rémy A. Bonnin. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.
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.