Beatriz Sobrino

3.7k total citations
46 papers, 1.8k citations indexed

About

Beatriz Sobrino is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Beatriz Sobrino has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Genetics and 6 papers in Surgery. Recurrent topics in Beatriz Sobrino's work include Molecular Biology Techniques and Applications (8 papers), Forensic and Genetic Research (7 papers) and Genomics and Rare Diseases (6 papers). Beatriz Sobrino is often cited by papers focused on Molecular Biology Techniques and Applications (8 papers), Forensic and Genetic Research (7 papers) and Genomics and Rare Diseases (6 papers). Beatriz Sobrino collaborates with scholars based in Spain, Saudi Arabia and United Kingdom. Beatriz Sobrino's co-authors include Ángel Carracedo, Marı́a Brión, M.V. Lareu, Martin Richards, Antonio Salas, Vincent Macaulay, Paula Sánchez‐Diz, Alejandro Blanco‐Verea, Jorge Amigo and Juan Diego Ruíz-Mesa and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Beatriz Sobrino

44 papers receiving 1.7k citations

Peers

Beatriz Sobrino
Beatriz Sobrino
Citations per year, relative to Beatriz Sobrino Beatriz Sobrino (= 1×) peers Keiji Tamaki

Countries citing papers authored by Beatriz Sobrino

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Sobrino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatriz Sobrino

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

All Works

20 of 20 papers shown
1.
Sobrino, Beatriz, et al.. (2025). Gram-positive infections in special populations. Expert view on the role of dalbavancin. Expert Review of Anti-infective Therapy. 23(5). 265–275.
2.
Bartolomé, Carolina, Ana L. García‐Pérez, Karine Monceau, et al.. (2024). Prevalence and population genetic analyses of parasites in invasive Vespa velutina and native Hymenoptera. Journal of Invertebrate Pathology. 207. 108203–108203.
3.
Priego, Julián, Jesús de Blas, Alicia Torrado, et al.. (2024). Design, synthesis and validation of a new Crimped Head-Piece for DNA-Encoded libraries generation. Bioorganic & Medicinal Chemistry. 99. 117596–117596. 1 indexed citations
4.
Barturen, Guillermo, Elena Carnero‐Montoro, Manuel Martínez‐Bueno, et al.. (2022). Whole blood DNA methylation analysis reveals respiratory environmental traits involved in COVID-19 severity following SARS-CoV-2 infection. Nature Communications. 13(1). 4597–4597. 28 indexed citations
5.
Blanco‐Verea, Alejandro, Eva Ramos‐Luis, Beatriz Sobrino, et al.. (2022). Detection of the Copy Number Variants of Genes in Patients with Familial Cardiac Diseases by Massively Parallel Sequencing. Molecular Diagnosis & Therapy. 27(1). 105–113. 1 indexed citations
6.
Bartolomé, Carolina, Beatriz Sobrino, Jorge Amigo, et al.. (2020). Longitudinal analysis on parasite diversity in honeybee colonies: new taxa, high frequency of mixed infections and seasonal patterns of variation. Scientific Reports. 10(1). 10454–10454. 25 indexed citations
7.
Ruiz‐Cabezas, Juan Carlos, et al.. (2019). Mutational analysis of CFTR in the Ecuadorian population using next-generation sequencing. Gene. 696. 28–32. 7 indexed citations
8.
Brión, Marı́a, et al.. (2015). Massive parallel sequencing applied to the molecular autopsy in sudden cardiac death in the young. Forensic Science International Genetics. 18. 160–170. 29 indexed citations
9.
Suárez‐Rama, Jose Javier, Manuel Arrojo, Beatriz Sobrino, et al.. (2015). Resequencing and association analysis of coding regions at twenty candidate genes suggest a role for rare risk variation at AKAP9 and protective variation at NRXN1 in schizophrenia susceptibility. Journal of Psychiatric Research. 66-67. 38–44. 14 indexed citations
10.
Eduardoff, Mayra, Carla Santos, M. de la Puente, et al.. (2015). Inter-laboratory evaluation of SNP-based forensic identification by massively parallel sequencing using the Ion PGM™. Forensic Science International Genetics. 17. 110–121. 106 indexed citations
11.
Allegue, Catarina, Mónica Coll, Jesús Matés, et al.. (2015). Genetic Analysis of Arrhythmogenic Diseases in the Era of NGS: The Complexity of Clinical Decision-Making in Brugada Syndrome. PLoS ONE. 10(7). e0133037–e0133037. 42 indexed citations
12.
Blanco‐Verea, Alejandro, Gisela Teixidó‐Turà, Irene Valenzuela, et al.. (2014). Whole exome sequencing for the identification of a new mutation in TGFB2 involved in a familial case of non-syndromic aortic disease. Clinica Chimica Acta. 437. 88–92. 13 indexed citations
13.
Colmenero, Juan, Juan Diego Ruíz-Mesa, Rocío Sanjuán‐Jiménez, Beatriz Sobrino, & Pilar Morata. (2012). Establishing the diagnosis of tuberculous vertebral osteomyelitis. European Spine Journal. 22(S4). 579–586. 64 indexed citations
14.
Revenga‐Parra, Mónica, Beatriz Sobrino, Ángel Carracedo, et al.. (2011). Electrochemical DNA base pairs quantification and endonuclease cleavage detection. Biosensors and Bioelectronics. 27(1). 40–45. 10 indexed citations
15.
Brión, Marı́a, Manuel Sánchez‐Salorio, Marta Cortón, et al.. (2010). Genetic association study of age-related macular degeneration in the Spanish population. Acta Ophthalmologica. 89(1). e12–e22. 32 indexed citations
16.
Brión, Marı́a, Inés Quintela, Beatriz Sobrino, et al.. (2010). New technologies in the genetic approach to sudden cardiac death in the young. Forensic Science International. 203(1-3). 15–24. 17 indexed citations
17.
Rodríguez‐Santiago, Benjamín, Beatriz Sobrino, Clara Serra‐Juhé, et al.. (2009). Association of common copy number variants at the glutathione S-transferase genes and rare novel genomic changes with schizophrenia. Molecular Psychiatry. 15(10). 1023–1033. 73 indexed citations
18.
Phillips, Christopher, Rixun Fang, David Ballard, et al.. (2007). Evaluation of the Genplex SNP typing system and a 49plex forensic marker panel. Forensic Science International Genetics. 1(2). 180–185. 74 indexed citations
19.
Sobrino, Beatriz, Marı́a Brión, & Ángel Carracedo. (2005). SNPs in forensic genetics: a review on SNP typing methodologies. Forensic Science International. 154(2-3). 181–194. 287 indexed citations
20.
Brión, Marı́a, Beatriz Sobrino, Alejandro Blanco‐Verea, M.V. Lareu, & Ángel Carracedo. (2004). Hierarchical analysis of 30 Y-chromosome SNPs in European populations. International Journal of Legal Medicine. 119(1). 10–15. 86 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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