Aurélie Vega

13 total papers · 531 total citations
11 papers, 448 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 448 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 Renal and related cancers (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 Renal and related cancers (2 papers). Aurélie Vega collaborates with scholars based in France, Netherlands and Switzerland. Aurélie Vega's co-authors include David H. Volle, Marine Baptissart, Jean‐Marc A. Lobaccaro, Bénazir Siddeek, Adil Bouskine, Patrick Fénichel, Françoise Caira, Mohamed Benahmed, Jean‐François Michiels and Salwan Maqdasy and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Aurélie Vega

11 papers receiving 444 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Aurélie Vega	174	127	122	115	86	11	448
Clavia Ruth Wooton‐Kee	182 1.0×	128 1.0×	101 0.8×	114 1.0×	40 0.5×	18	502
Jean‐Marc Lobaccaro	184 1.1×	106 0.8×	121 1.0×	76 0.7×	72 0.8×	12	447
Rok Keber	170 1.0×	52 0.4×	126 1.0×	59 0.5×	46 0.5×	10	484
Jeffrey S. Moffit	217 1.2×	73 0.6×	28 0.2×	33 0.3×	95 1.1×	16	446
Heidi A. Schoenfeld	161 0.9×	49 0.4×	48 0.4×	33 0.3×	200 2.3×	16	494
Hiroaki Homma	152 0.9×	56 0.4×	40 0.3×	94 0.8×	83 1.0×	12	432
Jaak Janssens	133 0.8×	96 0.8×	32 0.3×	55 0.5×	30 0.3×	18	507
James H. Clair	122 0.7×	44 0.3×	68 0.6×	39 0.3×	20 0.2×	13	470
Valérie Picard	132 0.8×	68 0.5×	83 0.7×	59 0.5×	60 0.7×	10	422
Yang Jiao	236 1.4×	62 0.5×	77 0.6×	36 0.3×	23 0.3×	15	532

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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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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