Roi Villar-Vázquez

561 total citations
6 papers, 466 citations indexed

About

Roi Villar-Vázquez is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Roi Villar-Vázquez has authored 6 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Immunology. Recurrent topics in Roi Villar-Vázquez's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Immunotherapy and Immune Responses (2 papers). Roi Villar-Vázquez is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Immunotherapy and Immune Responses (2 papers). Roi Villar-Vázquez collaborates with scholars based in Spain and United States. Roi Villar-Vázquez's co-authors include J. Ignacio Casal, Rodrigo Barderas, Alberto Peláez‐García, Sofía Torres, Rubén A. Bartolomé, María López-Lucendo, Marta Mendes, María Jesús Fernández‐Aceñero, Félix Bonilla and Antonio Garcı́a de Herreros and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Analytica Chimica Acta.

In The Last Decade

Roi Villar-Vázquez

6 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roi Villar-Vázquez Spain 6 263 175 99 86 63 6 466
Marta Giussani Italy 9 171 0.7× 200 1.1× 106 1.1× 50 0.6× 65 1.0× 16 391
Maša Alečković United States 8 326 1.2× 190 1.1× 180 1.8× 89 1.0× 58 0.9× 17 536
Maya Dadiani Israel 12 201 0.8× 145 0.8× 136 1.4× 46 0.5× 61 1.0× 22 411
Kian Kani United States 12 245 0.9× 177 1.0× 60 0.6× 51 0.6× 72 1.1× 21 438
Cathy C. Zhang United States 11 288 1.1× 196 1.1× 91 0.9× 19 0.2× 52 0.8× 13 464
Dusica Cvetković United States 13 210 0.8× 65 0.4× 91 0.9× 37 0.4× 114 1.8× 34 446
Ori Maller United States 11 191 0.7× 315 1.8× 129 1.3× 126 1.5× 51 0.8× 12 657
Aurélie Thuleau France 10 179 0.7× 180 1.0× 108 1.1× 101 1.2× 61 1.0× 15 378
Michael A. Dengler Germany 14 455 1.7× 109 0.6× 143 1.4× 66 0.8× 118 1.9× 24 706
Zhaoliang Liu China 11 226 0.9× 97 0.6× 141 1.4× 51 0.6× 68 1.1× 17 420

Countries citing papers authored by Roi Villar-Vázquez

Since Specialization
Citations

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

Fields of papers citing papers by Roi Villar-Vázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roi Villar-Vázquez. 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 Roi Villar-Vázquez. The network helps show where Roi Villar-Vázquez may publish in the future.

Co-authorship network of co-authors of Roi Villar-Vázquez

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

All Works

6 of 6 papers shown
1.
Villar-Vázquez, Roi, Guillermo Padilla, María Jesús Fernández‐Aceñero, et al.. (2016). Development of a novel multiplex beads‐based assay for autoantibody detection for colorectal cancer diagnosis. PROTEOMICS. 16(8). 1280–1290. 30 indexed citations
2.
Soler, Maria, M.‐Carmen Estévez, Roi Villar-Vázquez, J. Ignacio Casal, & Laura M. Lechuga. (2016). Label-free nanoplasmonic sensing of tumor-associate autoantibodies for early diagnosis of colorectal cancer. Analytica Chimica Acta. 930. 31–38. 53 indexed citations
3.
Torres, Sofía, Rubén A. Bartolomé, Marta Mendes, et al.. (2013). Proteome Profiling of Cancer-Associated Fibroblasts Identifies Novel Proinflammatory Signatures and Prognostic Markers for Colorectal Cancer. Clinical Cancer Research. 19(21). 6006–6019. 196 indexed citations
4.
Barderas, Rodrigo, Marta Mendes, Sofía Torres, et al.. (2013). In-depth Characterization of the Secretome of Colorectal Cancer Metastatic Cells Identifies Key Proteins in Cell Adhesion, Migration, and Invasion. Molecular & Cellular Proteomics. 12(6). 1602–1620. 102 indexed citations
5.
Barderas, Rodrigo, Roi Villar-Vázquez, María Jesús Fernández‐Aceñero, et al.. (2013). Sporadic colon cancer murine models demonstrate the value of autoantibody detection for preclinical cancer diagnosis. Scientific Reports. 3(1). 2938–2938. 39 indexed citations
6.
Barderas, Rodrigo, Ingrid Babel, Ramón Díaz‐Uriarte, et al.. (2012). An optimized predictor panel for colorectal cancer diagnosis based on the combination of tumor-associated antigens obtained from protein and phage microarrays. Journal of Proteomics. 75(15). 4647–4655. 46 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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