Darya Gorbenko del Blanco

1.0k total citations
15 papers, 439 citations indexed

About

Darya Gorbenko del Blanco is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Darya Gorbenko del Blanco has authored 15 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Darya Gorbenko del Blanco's work include Connective tissue disorders research (5 papers), Aortic Disease and Treatment Approaches (4 papers) and Aortic aneurysm repair treatments (3 papers). Darya Gorbenko del Blanco is often cited by papers focused on Connective tissue disorders research (5 papers), Aortic Disease and Treatment Approaches (4 papers) and Aortic aneurysm repair treatments (3 papers). Darya Gorbenko del Blanco collaborates with scholars based in Spain, Netherlands and United States. Darya Gorbenko del Blanco's co-authors include Miriam Aza‐Carmona, Karen E. Heath, Ángel Campos‐Barros, Sara Benito‐Sanz, Jesús Argente, Gustavo Egea, Valérie Cormier‐Daire, Céline Huber, N. Simon Thomas and John A. Crolla and has published in prestigious journals such as PLoS ONE, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Darya Gorbenko del Blanco

15 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darya Gorbenko del Blanco Spain 11 276 185 117 61 58 15 439
Christiane Bay Denmark 11 100 0.4× 150 0.8× 62 0.5× 53 0.9× 7 0.1× 21 477
Zhaolong Yu United States 7 246 0.9× 236 1.3× 33 0.3× 11 0.2× 8 0.1× 12 505
Valentina Paloschi Sweden 12 63 0.2× 119 0.6× 250 2.1× 8 0.1× 156 2.7× 21 450
Guian Chen China 15 114 0.4× 254 1.4× 17 0.1× 37 0.6× 13 0.2× 29 549
A Baxová Czechia 10 246 0.9× 243 1.3× 13 0.1× 11 0.2× 15 0.3× 40 416
Hermine E. Veenstra‐Knol Netherlands 13 220 0.8× 276 1.5× 33 0.3× 14 0.2× 133 2.3× 20 561
J. Robert Schleiffarth United States 7 152 0.6× 368 2.0× 32 0.3× 13 0.2× 11 0.2× 10 499
Baiba Lāce Latvia 12 245 0.9× 215 1.2× 29 0.2× 13 0.2× 25 0.4× 50 474
Aziza Sbiti Morocco 9 133 0.5× 211 1.1× 17 0.1× 6 0.1× 22 0.4× 19 387
Katarzyna Wertheim‐Tysarowska Poland 12 80 0.3× 136 0.7× 55 0.5× 11 0.2× 8 0.1× 52 431

Countries citing papers authored by Darya Gorbenko del Blanco

Since Specialization
Citations

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

Fields of papers citing papers by Darya Gorbenko del Blanco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darya Gorbenko del Blanco. 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 Darya Gorbenko del Blanco. The network helps show where Darya Gorbenko del Blanco may publish in the future.

Co-authorship network of co-authors of Darya Gorbenko del Blanco

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

All Works

15 of 15 papers shown
1.
Ibáñez‐Fonseca, Arturo, et al.. (2020). Elastin-Like Recombinamer Hydrogels for Improved Skeletal Muscle Healing Through Modulation of Macrophage Polarization. Frontiers in Bioengineering and Biotechnology. 8. 413–413. 32 indexed citations
2.
Siegert, Anna‐Maria, Gerardo Garcia-Díaz Barriga, Anna Esteve‐Codina, et al.. (2018). A FBN1 3′UTR mutation variant is associated with endoplasmic reticulum stress in aortic aneurysm in Marfan syndrome. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(1). 107–114. 16 indexed citations
3.
Jiménez‐Altayó, Francesc, Thayna Meirelles, Eva Crosas‐Molist, et al.. (2018). Redox stress in Marfan syndrome: Dissecting the role of the NADPH oxidase NOX4 in aortic aneurysm. Free Radical Biology and Medicine. 118. 44–58. 59 indexed citations
4.
Barrio, Raquel, Montserrat García-Lavandeira, Adela Escudero, et al.. (2017). The syndrome of central hypothyroidism and macroorchidism: IGSF1 controls TRHR and FSHB expression by differential modulation of pituitary TGFβ and Activin pathways. Scientific Reports. 7(1). 42937–42937. 28 indexed citations
5.
Mas‐Stachurska, Aleksandra, Anna‐Maria Siegert, Montserrat Batlle, et al.. (2017). Cardiovascular Benefits of Moderate Exercise Training in Marfan Syndrome: Insights From an Animal Model. Journal of the American Heart Association. 6(9). 38 indexed citations
6.
Uriarte, Juan J., Thayna Meirelles, Darya Gorbenko del Blanco, et al.. (2016). Early Impairment of Lung Mechanics in a Murine Model of Marfan Syndrome. PLoS ONE. 11(3). e0152124–e0152124. 21 indexed citations
7.
Busnadiego, Óscar, Darya Gorbenko del Blanco, José González, et al.. (2015). Elevated expression levels of lysyl oxidases protect against aortic aneurysm progression in Marfan syndrome. Journal of Molecular and Cellular Cardiology. 85. 48–57. 30 indexed citations
8.
Palma, Renata Kelly da, Ramón Farré, Josep M. Montserrat, et al.. (2014). Increased upper airway collapsibility in a mouse model of Marfan syndrome. Respiratory Physiology & Neurobiology. 207. 58–60. 6 indexed citations
9.
Aza‐Carmona, Miriam, Alfonso Hisado-Oliva, Darya Gorbenko del Blanco, et al.. (2014). NPPB and ACAN, Two Novel SHOX2 Transcription Targets Implicated in Skeletal Development. PLoS ONE. 9(1). e83104–e83104. 15 indexed citations
10.
Blanco, Darya Gorbenko del, et al.. (2012). A novel OTX2 mutation in a patient with combined pituitary hormone deficiency, pituitary malformation, and an underdeveloped left optic nerve. European Journal of Endocrinology. 167(3). 441–452. 32 indexed citations
11.
Blanco, Darya Gorbenko del, et al.. (2012). Single‐nucleotide variants in two Hedgehog genes, SHH and HHIP, as genetic cause of combined pituitary hormone deficiency. Clinical Endocrinology. 78(3). 415–423. 8 indexed citations
12.
Blanco, Darya Gorbenko del, et al.. (2011). Isolated GH deficiency: mutation screening and copy number analysis of HMGA2 and CDK6 genes. European Journal of Endocrinology. 165(4). 537–544. 10 indexed citations
13.
Blanco, Darya Gorbenko del, et al.. (2011). Growth hormone insensitivity syndrome caused by a heterozygous GHR mutation: phenotypic variability owing to moderation by nonsense‐mediated decay. Clinical Endocrinology. 76(5). 706–712. 4 indexed citations
14.
Benito‐Sanz, Sara, Darya Gorbenko del Blanco, Miriam Aza‐Carmona, et al.. (2006). PAR1 deletions downstream ofSHOX are the most frequent defect in a Spanish cohort of Léri-Weill dyschondrosteosis (LWD) probands. Human Mutation. 27(10). 1062–1062. 44 indexed citations
15.
Benito‐Sanz, Sara, N. Simon Thomas, Céline Huber, et al.. (2005). A Novel Class of Pseudoautosomal Region 1 Deletions Downstream of SHOX Is Associated with Léri-Weill Dyschondrosteosis. The American Journal of Human Genetics. 77(4). 533–544. 96 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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