A. Cortina

1.5k total citations
32 papers, 1.2k citations indexed

About

A. Cortina is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, A. Cortina has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 9 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in A. Cortina's work include Lipoproteins and Cardiovascular Health (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Hormonal Regulation and Hypertension (3 papers). A. Cortina is often cited by papers focused on Lipoproteins and Cardiovascular Health (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Hormonal Regulation and Hypertension (3 papers). A. Cortina collaborates with scholars based in Spain, Italy and Denmark. A. Cortina's co-authors include Victoria Álvarez, Eliécer Coto, Julián R. Reguero, Pelayo González, Alberto Batalla, Ruth Álvarez, Alfredo Ardia, Giuseppe Mancia, J G Kayanakis and Gorm Boje Jensen and has published in prestigious journals such as The Lancet, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

A. Cortina

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Cortina Spain 17 690 201 172 139 126 32 1.2k
J.D. Banga Netherlands 12 257 0.4× 222 1.1× 201 1.2× 399 2.9× 103 0.8× 17 1.1k
Marie‐Luise Gross Germany 22 297 0.4× 84 0.4× 183 1.1× 136 1.0× 205 1.6× 34 1.3k
Haruo Hirayama Japan 18 792 1.1× 117 0.6× 269 1.6× 142 1.0× 251 2.0× 71 1.4k
Manish P. Ponda United States 14 145 0.2× 143 0.7× 130 0.8× 132 0.9× 309 2.5× 24 1.0k
Elena Sticchi Italy 21 589 0.9× 228 1.1× 278 1.6× 125 0.9× 219 1.7× 80 1.4k
Inge Goovaerts Belgium 13 405 0.6× 198 1.0× 105 0.6× 79 0.6× 272 2.2× 25 916
Michael Thompson Australia 15 237 0.3× 119 0.6× 204 1.2× 148 1.1× 190 1.5× 28 911
B. I. Freedman United States 14 129 0.2× 166 0.8× 86 0.5× 222 1.6× 227 1.8× 19 1.1k
Maria Sambataro Italy 17 399 0.6× 107 0.5× 237 1.4× 567 4.1× 264 2.1× 49 1.5k
Harinder S. Juneja United States 16 348 0.5× 65 0.3× 177 1.0× 103 0.7× 221 1.8× 54 1.3k

Countries citing papers authored by A. Cortina

Since Specialization
Citations

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

Fields of papers citing papers by A. Cortina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Cortina

This figure shows the co-authorship network connecting the top 25 collaborators of A. Cortina. A scholar is included among the top collaborators of A. Cortina 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 A. Cortina. A. Cortina 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.
González, Pelayo, María G. Castro, Ruth Álvarez, et al.. (2003). Association between genetic variation in the Y chromosome and hypertension in myocardial infarction patients. American Journal of Medical Genetics Part A. 122A(3). 234–237. 16 indexed citations
2.
Coto, Eliécer, Julián R. Reguero, Victoria Álvarez, et al.. (2003). 5-Hydroxytryptamine 5-HT2A receptor and 5-hydroxytryptamine transporter polymorphisms in acute myocardial infarction. Clinical Science. 104(3). 241–241. 46 indexed citations
3.
González, Pelayo, Ruth Álvarez, Julián R. Reguero, et al.. (2002). Variation in the lipoprotein receptor-related protein, α2-macroglobulin and lipoprotein receptor-associatedprotein genes in relation to plasma lipid levels and riskof early myocardial infarction. Coronary Artery Disease. 13(5). 251–254. 22 indexed citations
4.
Álvarez, Ruth, et al.. (2001). Lack of association between polymorphisms of the coagulation factor VII and myocardial infarction in middle-aged Spanish men. International Journal of Cardiology. 80(2-3). 209–212. 21 indexed citations
5.
Cortina, A., Eduardo Segovia, José Luis Lambert, et al.. (2001). Prevalence of heart failure in Asturias (a region in the North of Spain). The American Journal of Cardiology. 87(12). 1417–1419. 70 indexed citations
6.
González, Pelayo, Roberto Martínez Álvarez, Victoria Álvarez, et al.. (2001). Genetic variation at the chemokine receptors CCR5/CCR2 in myocardial infarction. Genes and Immunity. 2(4). 191–195. 133 indexed citations
7.
8.
Álvarez, Ruth, Pelayo González, Alberto Batalla, et al.. (2001). Association between the NOS3 (−786 T/C) and the ACE (I/D) DNA Genotypes and Early Coronary Artery Disease. Nitric Oxide. 5(4). 343–348. 70 indexed citations
9.
Álvarez, Ruth, Nicolás Terrados, Julián R. Reguero, et al.. (2000). Genetic variation in the renin-angiotensin system and athletic performance. European Journal of Applied Physiology. 82(1-2). 117–120. 144 indexed citations
10.
Cortina, A., et al.. (1999). Absceso esplénico como complicación de una pancreatitis aguda. Cirugía Española. 66(5). 466–468. 1 indexed citations
11.
Vargas, Mariángela, et al.. (1999). The prothrombin 20210A allele and the factor V Leiden are associated with venous thrombosis but not with early coronary artery disease. Blood Coagulation & Fibrinolysis. 10(1). 39–39. 20 indexed citations
12.
Reguero, Julián R., et al.. (1998). Apolipoprotein A1 Gene Polymorphisms and Risk of Early Coronary Disease. Cardiology. 90(3). 231–235. 38 indexed citations
13.
Lambert, José Luis, et al.. (1998). Espasmo coronario y parada cardíaca por fibrilación ventricular. Revista Española de Cardiología. 51(5). 410–413. 1 indexed citations
14.
Morı́s, César, et al.. (1996). Stenting for coronary dissection after balloon dilation of in-stent restenosis: Stenting a previously stented site. American Heart Journal. 131(4). 834–836. 13 indexed citations
15.
Cortina, A., et al.. (1995). Interrelationships between Lipoprotein(a) and Other Cardiovascular Risk Factors. Cardiology. 86(5). 432–435. 6 indexed citations
16.
Reguero, Julián R., et al.. (1995). Aldosterone Levels and Cardiac Hypertrophy in Professional Cyclists. International Journal of Sports Medicine. 16(7). 475–477. 5 indexed citations
17.
Terrados, Nicolás, et al.. (1995). Prevalence and upper limit of cardiac hypertrophy in professional cyclists. European Journal of Applied Physiology. 70(5). 375–378. 23 indexed citations
18.
Morı́s, César, et al.. (1992). [The long-term evolution of patients with senile aortic stenosis undergoing percutaneous valve dilatation].. PubMed. 45(3). 162–6. 1 indexed citations
19.
Cortina, A., et al.. (1985). Left ventricular function after myocardial infarction: Clinical and angiographic correlations. Journal of the American College of Cardiology. 5(3). 619–624. 62 indexed citations
20.
Montero, Carlos, et al.. (1983). A new technique for reconstruction of the tricuspid valve ring in congenital tricuspid insufficiency.. Europe PMC (PubMed Central). 10(2). 209–13. 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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