Virginia Pérez-Andreu

27 total papers · 2.0k total citations
13 papers, 513 citations indexed

About

Virginia Pérez-Andreu is a scholar working on Pharmacology, Molecular Biology and Hematology. According to data from OpenAlex, Virginia Pérez-Andreu has authored 13 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 4 papers in Molecular Biology and 3 papers in Hematology. Recurrent topics in Virginia Pérez-Andreu's work include Pharmacogenetics and Drug Metabolism (5 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Virginia Pérez-Andreu is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Virginia Pérez-Andreu collaborates with scholars based in Spain, United States and Guatemala. Virginia Pérez-Andreu's co-authors include Vicente Vicente, Vanessa Roldán, Javier Corral, Nuria García‐Barberá, Rocío Gónzález‐Conejero, Ana Isabel Antón, Constantino Martı́nez, Irene Martínez‐Martínez, Ana Muntañola and Carlos Salvador and has published in prestigious journals such as Blood, PLoS ONE and Cancer.

In The Last Decade

Virginia Pérez-Andreu

13 papers receiving 503 citations

Author Peers

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

Author Last Decade Papers Cites
Virginia Pérez-Andreu 200 173 140 106 105 13 513
Nuria García‐Barberá 206 1.0× 32 0.2× 85 0.6× 41 0.4× 95 0.9× 23 486
Caroline Berube 153 0.8× 70 0.4× 283 2.0× 140 1.3× 54 0.5× 32 573
Devron R. Shah 189 0.9× 48 0.3× 95 0.7× 25 0.2× 77 0.7× 7 597
Yvonne Pak 143 0.7× 107 0.6× 147 1.1× 25 0.2× 30 0.3× 17 533
Valentina Lotto 150 0.8× 84 0.5× 139 1.0× 176 1.7× 9 0.1× 8 542
Stefano Di Giulio 133 0.7× 63 0.4× 88 0.6× 55 0.5× 9 0.1× 20 486
Friederike Kanefendt 124 0.6× 175 1.0× 131 0.9× 11 0.1× 33 0.3× 21 451
Laïla Zahed 110 0.6× 112 0.6× 125 0.9× 16 0.2× 37 0.4× 20 492
Philip J. Migliore 172 0.9× 91 0.5× 222 1.6× 21 0.2× 15 0.1× 17 556
Yi Ling Teo 227 1.1× 57 0.3× 80 0.6× 16 0.2× 102 1.0× 11 619

Countries citing papers authored by Virginia Pérez-Andreu

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Pérez-Andreu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia Pérez-Andreu. 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 Virginia Pérez-Andreu. The network helps show where Virginia Pérez-Andreu may publish in the future.

Co-authorship network of co-authors of Virginia Pérez-Andreu

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Pérez-Andreu. A scholar is included among the top collaborators of Virginia Pérez-Andreu 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 Virginia Pérez-Andreu. Virginia Pérez-Andreu 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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