Aurélie Cazet

2.7k total citations
23 papers, 1.1k citations indexed

About

Aurélie Cazet is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Aurélie Cazet has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cell Biology. Recurrent topics in Aurélie Cazet's work include Glycosylation and Glycoproteins Research (13 papers), Galectins and Cancer Biology (5 papers) and Hedgehog Signaling Pathway Studies (4 papers). Aurélie Cazet is often cited by papers focused on Glycosylation and Glycoproteins Research (13 papers), Galectins and Cancer Biology (5 papers) and Hedgehog Signaling Pathway Studies (4 papers). Aurélie Cazet collaborates with scholars based in France, Australia and United States. Aurélie Cazet's co-authors include Philippe Delannoy, Marie Bobowski, Sylvain Julien, Sophie Groux‐Degroote, Joy Burchell, Alexander Swarbrick, Sandra O’Toole, Marie‐Ange Krzewinski‐Recchi, Xuefen Le Bourhis and Laurent Guyon and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Aurélie Cazet

23 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aurélie Cazet France 14 839 277 206 203 146 23 1.1k
Diana Campos Portugal 11 917 1.1× 429 1.5× 174 0.8× 174 0.9× 114 0.8× 29 1.1k
Andreia Peixoto Portugal 20 788 0.9× 334 1.2× 116 0.6× 230 1.1× 97 0.7× 32 1.1k
Meritxell Balmaña Portugal 16 903 1.1× 402 1.5× 157 0.8× 172 0.8× 100 0.7× 21 1.1k
Keiko Miyazaki Japan 10 1.1k 1.3× 512 1.8× 224 1.1× 264 1.3× 159 1.1× 15 1.4k
D. Gomika Udugamasooriya United States 16 698 0.8× 141 0.5× 205 1.0× 251 1.2× 60 0.4× 35 1.0k
Anna Radzikowska Poland 11 593 0.7× 225 0.8× 103 0.5× 162 0.8× 111 0.8× 24 1.1k
Stefan Mereiter Portugal 15 837 1.0× 433 1.6× 167 0.8× 168 0.8× 114 0.8× 24 1.0k
Mineko Izawa Japan 12 1.2k 1.5× 560 2.0× 288 1.4× 260 1.3× 214 1.5× 16 1.5k
Simon Wisnovsky Canada 16 1.5k 1.8× 193 0.7× 289 1.4× 442 2.2× 115 0.8× 22 1.9k
Luís Lima Portugal 20 586 0.7× 281 1.0× 75 0.4× 205 1.0× 72 0.5× 47 1.0k

Countries citing papers authored by Aurélie Cazet

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Cazet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Cazet

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Cazet. A scholar is included among the top collaborators of Aurélie Cazet 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 Aurélie Cazet. Aurélie Cazet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Murali, Reshma, Wee Siang Teo, Andrea McFarland, et al.. (2020). Targeting the Id1-Kif11 Axis in Triple-Negative Breast Cancer Using Combination Therapy. Biomolecules. 10(9). 1295–1295. 11 indexed citations
2.
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Cazet, Aurélie, et al.. (2018). MPDU1 regulates CEACAM1 and cell adhesion in vitro and in vivo. Glycoconjugate Journal. 35(3). 265–274. 1 indexed citations
5.
Hui, Mun N., Aurélie Cazet, Benjamin Elsworth, et al.. (2018). Targeting the Hedgehog signalling pathway in triple negative breast cancer.. Journal of Clinical Oncology. 36(15_suppl). e24216–e24216. 7 indexed citations
6.
Conway, James R. W., Claire Vennin, Aurélie Cazet, et al.. (2017). Three-dimensional organotypic matrices from alternative collagen sources as pre-clinical models for cell biology. Scientific Reports. 7(1). 16887–16887. 18 indexed citations
7.
Hui, Mun N., Aurélie Cazet, Caroline Cooper, et al.. (2015). Targeting the hedgehog signalling pathway in triple negative breast cancer. Annals of Oncology. 26. iii31–iii31. 2 indexed citations
8.
Cazet, Aurélie, et al.. (2014). Mannose Phosphate Isomerase Regulates Fibroblast Growth Factor Receptor Family Signaling and Glioma Radiosensitivity. PLoS ONE. 9(10). e110345–e110345. 13 indexed citations
9.
Warrier, Sanjay, Jane Beith, Aurélie Cazet, et al.. (2013). Claudin-1 as a novel transcriptional target of hedgehog signaling and a predictor for outcome in breast cancer.. Journal of Clinical Oncology. 31(15_suppl). 1053–1053. 2 indexed citations
10.
O’Toole, Sandra, Jane Beith, Ewan K.A. Millar, et al.. (2013). Therapeutic targets in triple negative breast cancer. Journal of Clinical Pathology. 66(6). 530–542. 122 indexed citations
11.
Cazet, Aurélie, Marie Bobowski, Yoann Rombouts, et al.. (2012). The ganglioside GD2 induces the constitutive activation of c-Met in MDA-MB-231 breast cancer cells expressing the GD3 synthase. Glycobiology. 22(6). 806–816. 80 indexed citations
12.
Steenackers, Agata, Jorick Vanbeselaere, Aurélie Cazet, et al.. (2012). Accumulation of Unusual Gangliosides GQ3 and GP3 in Breast Cancer Cells Expressing the GD3 Synthase. Molecules. 17(8). 9559–9572. 19 indexed citations
13.
Steenackers, Agata, Aurélie Cazet, Marie Bobowski, et al.. (2011). Expression of GD3 synthase modifies ganglioside profile and increases migration of MCF-7 breast cancer cells. Comptes Rendus Chimie. 15(1). 3–14. 6 indexed citations
14.
Cazet, Aurélie, Sylvain Julien, Marie Bobowski, et al.. (2010). Consequences of the expression of sialylated antigens in breast cancer. Carbohydrate Research. 345(10). 1377–1383. 86 indexed citations
15.
Cazet, Aurélie, Sylvain Julien, Marie Bobowski, Joy Burchell, & Philippe Delannoy. (2010). Tumour-associated carbohydrate antigens in breast cancer. Breast Cancer Research. 12(3). 204–204. 187 indexed citations
16.
Bernardin, Aude, Aurélie Cazet, Laurent Guyon, et al.. (2010). Copper-Free Click Chemistry for Highly Luminescent Quantum Dot Conjugates: Application to in Vivo Metabolic Imaging. Bioconjugate Chemistry. 21(4). 583–588. 138 indexed citations
17.
Trottein, François, Lana Schaffer, Stoyan Ivanov, et al.. (2009). Glycosyltransferase and sulfotransferase gene expression profiles in human monocytes, dendritic cells and macrophages. Glycoconjugate Journal. 26(9). 1259–1274. 37 indexed citations
18.
Lehoux, Sylvain, Sophie Groux‐Degroote, Aurélie Cazet, et al.. (2009). Transcriptional regulation of the human ST6GAL2 gene in cerebral cortex and neuronal cells. Glycoconjugate Journal. 27(1). 99–114. 35 indexed citations
19.
Cazet, Aurélie, Sophie Groux‐Degroote, Sylvain Lehoux, et al.. (2009). GD3 synthase overexpression enhances proliferation and migration of MDA-MB-231 breast cancer cells. Biological Chemistry. 390(7). 601–609. 49 indexed citations
20.
Groux‐Degroote, Sophie, Marie‐Ange Krzewinski‐Recchi, Aurélie Cazet, et al.. (2008). IL-6 and IL-8 increase the expression of glycosyltransferases and sulfotransferases involved in the biosynthesis of sialylated and/or sulfated Lewisx epitopes in the human bronchial mucosa. Biochemical Journal. 410(1). 213–223. 63 indexed citations

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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