Aurélie Vega

532 total citations
11 papers, 450 citations indexed

About

Aurélie Vega is a scholar working on Surgery, Oncology and Cancer Research. According to data from OpenAlex, Aurélie Vega has authored 11 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Aurélie Vega's work include Drug Transport and Resistance Mechanisms (7 papers), Cholesterol and Lipid Metabolism (6 papers) and Estrogen and related hormone effects (2 papers). Aurélie Vega is often cited by papers focused on Drug Transport and Resistance Mechanisms (7 papers), Cholesterol and Lipid Metabolism (6 papers) and Estrogen and related hormone effects (2 papers). Aurélie Vega collaborates with scholars based in France, Netherlands and Switzerland. Aurélie Vega's co-authors include David H. Volle, Jean‐Marc A. Lobaccaro, Marine Baptissart, Bénazir Siddeek, Adil Bouskine, Patrick Fénichel, Françoise Caira, Mohamed Benahmed, Salwan Maqdasy and Nicolas Chevalier and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Aurélie Vega

11 papers receiving 446 citations

Peers

Aurélie Vega

MB

ONCOL

SURGE

GENET

RM

Marine Baptissart France

Emmanuelle Martinot France

Hitoshi Kandori Japan

Jeffrey S. Moffit United States

M Mlynček Slovakia

Valérie Picard Canada

Itshak Zusman Israel

Kaname Ohara Japan

Li-min Yue China

Shahanshah Khan United States

Marine Baptissart France

Aurélie Vega

265 ×1.5

MB

215 ×1.7

ONCOL

157 ×1.3

SURGE

129 ×1.1

GENET

141 ×1.6

RM

Citations per year, relative to Aurélie Vega Aurélie Vega (= 1×) peers Marine Baptissart

Countries citing papers authored by Aurélie Vega

Since Specialization

Citations

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

Fields of papers citing papers by Aurélie Vega

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Vega

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

All Works

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11 of 11 papers shown

1.

Martinot, Emmanuelle, Marine Baptissart, Aurélie Vega, et al.. (2017). Bile acid homeostasis controls CAR signaling pathways in mouse testis through FXRalpha. Scientific Reports. 7(1). 42182–42182. 22 indexed citations

2.

Vega, Aurélie, Emmanuelle Martinot, Marine Baptissart, et al.. (2015). Bile Acid Alters Male Mouse Fertility in Metabolic Syndrome Context. PLoS ONE. 10(10). e0139946–e0139946. 13 indexed citations

3.

Baptissart, Marine, Aurélie Vega, Emmanuelle Martinot, et al.. (2014). Bile acids alter male fertility through G-protein-coupled bile acid receptor 1 signaling pathways in mice. Hepatology. 60(3). 1054–1065. 49 indexed citations

4.

Baptissart, Marine, et al.. (2013). Farnesoid X receptor alpha: a molecular link between bile acids and steroid signaling?. Cellular and Molecular Life Sciences. 70(23). 4511–4526. 27 indexed citations

5.

Lakhdari, Nadjem, Aurélie Vega, Claire Mauduit, et al.. (2013). Neonatal exposure to zearalenone induces long term modulation of ABC transporter expression in testis. Toxicology. 310. 29–38. 32 indexed citations

6.

Boussac, Hugues de, Émilie Viennois, Julie Dufour, et al.. (2013). Oxysterol receptors and their therapeutic applications in cancer conditions. Expert Opinion on Therapeutic Targets. 17(9). 1029–1038. 34 indexed citations

7.

Baptissart, Marine, Aurélie Vega, Salwan Maqdasy, et al.. (2012). Bile acids: From digestion to cancers. Biochimie. 95(3). 504–517. 87 indexed citations

8.

Vega, Aurélie, et al.. (2012). Epigenetic: a molecular link between testicular cancer and environmental exposures. Frontiers in Endocrinology. 3. 150–150. 27 indexed citations

9.

Chevalier, Nicolas, Aurélie Vega, Adil Bouskine, et al.. (2012). GPR30, the Non-Classical Membrane G Protein Related Estrogen Receptor, Is Overexpressed in Human Seminoma and Promotes Seminoma Cell Proliferation. PLoS ONE. 7(4). e34672–e34672. 85 indexed citations

10.

Siddeek, Bénazir, Aurélie Vega, Nadjem Lakhdari, et al.. (2012). Perinatal Programming of Adult Rat Germ Cell Death After Exposure to Xenoestrogens: Role of microRNA miR-29 Family in the Down-Regulation of DNA Methyltransferases and Mcl-1. Endocrinology. 153(4). 1936–1947. 57 indexed citations

11.

Bouskine, Adil, Aurélie Vega, Marielle Nebout, Mohamed Benahmed, & Patrick Fénichel. (2009). Expression of embryonic stem cell markers in cultured JKT‐1, a cell line derived from a human seminoma. International Journal of Andrology. 33(1). 54–63. 17 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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