Rocío Aguado

892 total citations
19 papers, 252 citations indexed

About

Rocío Aguado is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Rocío Aguado has authored 19 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Epidemiology. Recurrent topics in Rocío Aguado's work include Lipoproteins and Cardiovascular Health (6 papers), Herpesvirus Infections and Treatments (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Rocío Aguado is often cited by papers focused on Lipoproteins and Cardiovascular Health (6 papers), Herpesvirus Infections and Treatments (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Rocío Aguado collaborates with scholars based in Spain, Chile and Bulgaria. Rocío Aguado's co-authors include Rodrigo Alonso, José Luis Díaz-Díaz, Nelva Mata, Ovidio Muñiz-Grijalvo, Mar Piedecausa, Francisco Fuentes, R. Figueras, Pedro Luis Ruíz Sáenz, Sergio Castillo and Marta Mauri and has published in prestigious journals such as Blood, Scientific Reports and European Heart Journal.

In The Last Decade

Rocío Aguado

18 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rocío Aguado Spain 8 159 87 64 36 33 19 252
Haili Yao China 8 111 0.7× 144 1.7× 33 0.5× 91 2.5× 41 1.2× 14 329
Sven Bos Netherlands 10 279 1.8× 78 0.9× 102 1.6× 79 2.2× 132 4.0× 16 380
Manabu Narisawa Japan 11 75 0.5× 111 1.3× 32 0.5× 98 2.7× 25 0.8× 20 333
Sophie Gonbert France 6 131 0.8× 112 1.3× 40 0.6× 26 0.7× 101 3.1× 9 266
D. Datta United Kingdom 7 293 1.8× 118 1.4× 81 1.3× 33 0.9× 127 3.8× 22 375
Lotfolah Saed Iran 6 87 0.5× 60 0.7× 41 0.6× 39 1.1× 38 1.2× 8 278
Konrad Schmidt Austria 6 383 2.4× 135 1.6× 140 2.2× 67 1.9× 151 4.6× 9 492
Rutger Verbeek Netherlands 9 341 2.1× 137 1.6× 83 1.3× 51 1.4× 164 5.0× 16 421
Byung‐Joo Song South Korea 8 97 0.6× 126 1.4× 23 0.4× 21 0.6× 31 0.9× 16 362
Sydney Akapame United States 8 183 1.2× 29 0.3× 21 0.3× 18 0.5× 12 0.4× 15 278

Countries citing papers authored by Rocío Aguado

Since Specialization
Citations

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

Fields of papers citing papers by Rocío Aguado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rocío Aguado

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

All Works

19 of 19 papers shown
1.
2.
Alonso, Rodrigo, José Luis Díaz-Díaz, Juan Francisco Sánchez Muñoz-Torrero, et al.. (2022). Persistence to long-term PCSK9 inhibitors treatment and its effectiveness in familial hypercholesterolemia: data from the SAFEHEART study. European Heart Journal. 43(Supplement_2). 1 indexed citations
3.
Alonso, Rodrigo, Ovidio Muñiz-Grijalvo, José Luis Díaz-Díaz, et al.. (2021). Efficacy of PCSK9 inhibitors in the treatment of heterozygous familial hypercholesterolemia: A clinical practice experience. Journal of clinical lipidology. 15(4). 584–592. 11 indexed citations
4.
5.
Caballero‐Villarraso, Javier, et al.. (2019). Hormone replacement therapy in children with growth hormone deficiency: impact on immune profile. Archives of Physiology and Biochemistry. 127(3). 245–249. 6 indexed citations
6.
Aguado, Rocío, M.L. Agüera, Miguel Montejo, et al.. (2018). Lack of evidence of association between IFNG and IL28B polymorphisms and QuantiFERON-CMV test results in seropositive transplant patients. Human Immunology. 79(6). 499–505. 1 indexed citations
7.
Cantisán, Sara, F. Santos, Alberto Rodríguez‐Benot, et al.. (2017). Impact of age and cytomegalovirus on CD8+ T-cell compartment remodeling after solid organ transplantation: A one-year follow-up study. Experimental Gerontology. 95. 98–106. 8 indexed citations
8.
Lafita‐Navarro, M. Carmen, Rocío Aguado, Lucia García-Gutiérrez, et al.. (2016). NUMB inactivation confers resistance to imatinib in chronic myeloid leukemia cells. Cancer Letters. 375(1). 92–99. 4 indexed citations
9.
Cantisán, Sara, Pilar Pérez‐Romero, Miguel Montejo, et al.. (2016). Prevention strategies differentially modulate the impact of cytomegalovirus replication on CD8+ T-cell differentiation in high-risk solid organ transplant patients. Antiviral Research. 132. 244–251. 5 indexed citations
10.
Fuentes, Francisco, Juan F. Alcalá‐Díaz, Gerald F. Watts, et al.. (2015). Statins do not increase the risk of developing type 2 diabetes in familial hypercholesterolemia: The SAFEHEART study. International Journal of Cardiology. 201. 79–84. 30 indexed citations
11.
Mata, Pedro, Rodrigo Alonso, José Luis Díaz-Díaz, et al.. (2014). Hiperlipidemia familiar combinada: documento de consenso. Atención Primaria. 46(8). 440–446. 15 indexed citations
12.
Mata, Pedro, Rodrigo Alonso, José Luis Díaz-Díaz, et al.. (2014). Hiperlipidemia familiar combinada: documento de consenso. Medicina de Familia SEMERGEN. 40(7). 374–380. 3 indexed citations
13.
Ortega, Consuelo, et al.. (2013). Interleukin-21 Overexpression Dominates T Cell Response to Epstein-Barr Virus in a Fatal Case of X-Linked Lymphoproliferative Syndrome Type 1. Clinical and Vaccine Immunology. 20(5). 765–771. 3 indexed citations
14.
Ortega, Consuelo, et al.. (2013). IL-17 Producing T Cells in Celiac Disease: Angels or Devils?. International Reviews of Immunology. 32(5-6). 534–543. 11 indexed citations
15.
Ortega, Consuelo, Silvia Fernández, Rocío Aguado, et al.. (2013). A novel phenotype variant of severe congenital neutropenia caused by G6PC3 deficiency. Pediatric Blood & Cancer. 60(7). E29–31. 2 indexed citations
16.
Aguado, Rocío, et al.. (2013). Antiadenohypophysis Autoantibodies in Patients with Nongluten‐related Gastroenteropathies. Journal of Clinical Laboratory Analysis. 28(1). 59–62. 2 indexed citations
17.
Aguado, Rocío, et al.. (2010). The endocytic adaptor Numb regulates thymus size by modulating pre-TCR signaling during asymmetric division. Blood. 116(10). 1705–1714. 18 indexed citations
18.
Alonso, Rodrigo, Nelva Mata, Sergio Castillo, et al.. (2008). Cardiovascular disease in familial hypercholesterolaemia: Influence of low-density lipoprotein receptor mutation type and classic risk factors. Atherosclerosis. 200(2). 315–321. 118 indexed citations
19.
Ballesteros‐Pomar, María D., et al.. (2006). Dietas bajas en hidratos de carbono frente a dietas bajas en grasas. Endocrinología y Nutrición. 53(3). 209–217. 1 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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