Sonia Vera

933 total citations
10 papers, 769 citations indexed

About

Sonia Vera is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sonia Vera has authored 10 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sonia Vera's work include Vascular Anomalies and Treatments (6 papers), Pulmonary Hypertension Research and Treatments (3 papers) and TGF-β signaling in diseases (3 papers). Sonia Vera is often cited by papers focused on Vascular Anomalies and Treatments (6 papers), Pulmonary Hypertension Research and Treatments (3 papers) and TGF-β signaling in diseases (3 papers). Sonia Vera collaborates with scholars based in Canada, United States and Italy. Sonia Vera's co-authors include Michelle Letarte, Mourad Toporsian, Mohammed G. Kabir, Karuthapillai Govindaraju, Pedro Lastres, Robert Gros, David H. Eidelman, Carmelo Bernabéu, Mansoor Husain and Ángel L. Corbí and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and European Journal of Immunology.

In The Last Decade

Sonia Vera

10 papers receiving 755 citations

Peers

Sonia Vera

PRM

GENET

ONCOL

Mercedes Guerrero-Esteo Spain

Nuria Almendro Spain

Laëtitia Mauge France

Wolfgang Röckl Germany

Ichiro Onitsuka Japan

Maria De Mol Belgium

Brit B. Sørensen Denmark

Jean-Michel Foidart Belgium

Clément d’Audigier France

Outi Vierimaa Finland

Mercedes Guerrero-Esteo Spain

Sonia Vera

529 ×1.6

216 ×0.8

PRM

214 ×0.9

GENET

118 ×1.3

ONCOL

31 ×0.3

Citations per year, relative to Sonia Vera Sonia Vera (= 1×) peers Mercedes Guerrero-Esteo

Countries citing papers authored by Sonia Vera

Since Specialization

Citations

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

Fields of papers citing papers by Sonia Vera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Vera

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

All Works

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10 of 10 papers shown

Xu, Guoxiong, Miriam Barrios‐Rodiles, Mirjana Jerkić, et al.. (2013). Novel Protein Interactions with Endoglin and Activin Receptor-like Kinase 1: Potential Role in Vascular Networks. Molecular & Cellular Proteomics. 13(2). 489–502. 16 indexed citations

Vera, Sonia, Stefan Liebner, Gianni M. Di Guglielmo, et al.. (2005). Endoglin Null Endothelial Cells Proliferate Faster and Are More Responsive to Transforming Growth Factor β1 with Higher Affinity Receptors and an Activated Alk1 Pathway. Journal of Biological Chemistry. 280(30). 27800–27808. 106 indexed citations

Toporsian, Mourad, Robert Gros, Mohammed G. Kabir, et al.. (2005). A Role for Endoglin in Coupling eNOS Activity and Regulating Vascular Tone Revealed in Hereditary Hemorrhagic Telangiectasia. Circulation Research. 96(6). 684–692. 204 indexed citations

Cymerman, Urszula, et al.. (2003). Characterization of 17 novel endoglin mutations associated with hereditary hemorrhagic telangiectasia. Human Mutation. 21(5). 482–492. 45 indexed citations

Cymerman, Urszula, Sonia Vera, Annie Bourdeau, et al.. (2000). Identification of Hereditary Hemorrhagic Telangiectasia Type 1 in Newborns by Protein Expression and Mutation Analysis of Endoglin. Pediatric Research. 47(1). 24–24. 63 indexed citations

Guerrero-Esteo, Mercedes, Pedro Lastres, Ainhoa Letamendı́a, et al.. (1999). Endoglin overexpression modulates cellular morphology, migration, and adhesion of mouse fibroblasts. European Journal of Cell Biology. 78(9). 614–623. 86 indexed citations

Jindal, Sangita, et al.. (1995). Regulation of Transforming Growth Factor a Gene Expression in an Ovarian Surface Epithelial Cell Line Derived from a Human Carcinoma1. Biology of Reproduction. 52(5). 1027–1037. 30 indexed citations

Bellón, Teresa, Ángel L. Corbí, Pedro Lastres, et al.. (1993). Identification and expression of two forms of the human transforming growth factor‐β‐binding protein endoglin with distinct cytoplasmic regions. European Journal of Immunology. 23(9). 2340–2345. 180 indexed citations

Quackenbush, Elizabeth J., et al.. (1990). Confirmation by peptide sequence and co-expression on various cell types of the identity of CD44 and P85 glycoprotein. Molecular Immunology. 27(10). 947–955. 37 indexed citations

10.

Rogers, Ian M., Giacomo D’Agostaro, Sonia Vera, & Michelle Letarte. (1988). Several epitopes of p85 glycoprotein (CDw44) are dependent on intact disulphide bonds. Isolation of cDNA clones requires a polyclonal antibody raised against the reduced protein. Bioscience Reports. 8(4). 359–368. 2 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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