José Aznar

540 total citations
18 papers, 424 citations indexed

About

José Aznar is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, José Aznar has authored 18 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in José Aznar's work include Blood Pressure and Hypertension Studies (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Blood properties and coagulation (3 papers). José Aznar is often cited by papers focused on Blood Pressure and Hypertension Studies (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Blood properties and coagulation (3 papers). José Aznar collaborates with scholars based in Spain and United States. José Aznar's co-authors include J.L. Llisterri, Josep Redón, Luis Cea‐Calvo, José Vicente Lozano, Jorge González‐Esteban, Cristina Fernández, Vicente Gil-Guillén, Basilio Moreno, Susana Monereo and Amparo Vayá and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Hypertension.

In The Last Decade

José Aznar

18 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
José Aznar Spain	12	286	73	71	55	51	18	424
Gail T. Louis United States	6	300 1.0×	87 1.2×	107 1.5×	35 0.6×	24 0.5×	9	473
Markéta Galovcová Czechia	10	256 0.9×	65 0.9×	103 1.5×	45 0.8×	81 1.6×	16	398
Nathan D Wong United States	6	319 1.1×	51 0.7×	50 0.7×	35 0.6×	47 0.9×	21	438
Grimm Rh United States	5	285 1.0×	79 1.1×	56 0.8×	23 0.4×	40 0.8×	8	415
Zhi Jian Wang China	15	495 1.7×	45 0.6×	187 2.6×	72 1.3×	24 0.5×	20	679
Amir Taraben Saudi Arabia	9	196 0.7×	47 0.6×	39 0.5×	49 0.9×	20 0.4×	15	323
Olebogeng H.I. Majane South Africa	16	591 2.1×	90 1.2×	68 1.0×	54 1.0×	52 1.0×	40	685
Joep van der Leeuw Netherlands	10	181 0.6×	125 1.7×	74 1.0×	53 1.0×	33 0.6×	19	366
Kuo‐Tzu Sung Taiwan	13	447 1.6×	68 0.9×	87 1.2×	75 1.4×	41 0.8×	44	620
Eduardo Alegría Ezquerra Spain	14	501 1.8×	142 1.9×	107 1.5×	62 1.1×	34 0.7×	46	676

Countries citing papers authored by José Aznar

Since Specialization

Citations

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

Fields of papers citing papers by José Aznar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Aznar

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

All Works

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18 of 18 papers shown

Gómez‐Gómez, Enrique, et al.. (2014). Palliative Surgery for Rare Cases of Anterior Urethral Metastasis in Prostate Cancer. SHILAP Revista de lepidopterología. 2014. 1–4. 3 indexed citations

Llisterri, J.L., et al.. (2009). Prevalencia del síndrome metabólico en la población española de 60 años o más. Estudio de base poblacional PREV-ICTUS. Medicina Clínica. 132(5). 172–179. 5 indexed citations

Maestre, Ana M., et al.. (2009). Diagnostic accuracy of clinical criteria for identifying systolic and diastolic heart failure: cross‐sectional study. Journal of Evaluation in Clinical Practice. 15(1). 55–61. 35 indexed citations

Cea‐Calvo, Luis, José Vicente Lozano, Cristina Fernández, et al.. (2008). Prevalence of low HDL cholesterol, and relationship between serum HDL and cardiovascular disease in elderly Spanish population: the PREV-ICTUS study. International Journal of Clinical Practice. 63(1). 71–81. 13 indexed citations

Cea‐Calvo, Luis, Basilio Moreno, Susana Monereo, et al.. (2008). Prevalencia de sobrepeso y obesidad en población española de 60 años o más y factores relacionados. Estudio PREV-ICTUS. Medicina Clínica. 131(6). 205–210. 21 indexed citations

Lozano, José Vicente, Vicente Pallarés‐Carratalá, Luis Cea‐Calvo, et al.. (2008). Serum lipid profiles and their relationship to cardiovascular disease in the elderly: the PREV-ICTUS study. Current Medical Research and Opinion. 24(3). 659–670. 26 indexed citations

Redón, Josep, Luis Cea‐Calvo, Basilio Moreno, et al.. (2008). Independent impact of obesity and fat distribution in hypertension prevalence and control in the elderly. Journal of Hypertension. 26(9). 1757–1764. 44 indexed citations

Redón, Josep, Vicente Gil, Luis Cea‐Calvo, et al.. (2008). The impact of occult renal failure on the cardiovascular risk stratification in an elderly population: The PREV‐ICTUS study. Blood Pressure. 17(4). 212–219. 1 indexed citations

Cea‐Calvo, Luis, Josep Redón, José Vicente Lozano, et al.. (2007). Prevalencia de fibrilación auricular en la población española de 60 o más años de edad. Estudio PREV-ICTUS. Revista Española de Cardiología. 60(6). 616–624. 107 indexed citations

10.

Cea‐Calvo, Luis, Josep Redón, José Vicente Lozano, et al.. (2007). Prevalencia de filtrado glomerular disminuido en la población española de edad avanzada. Estudio PREV-ICTUS. Medicina Clínica. 129(18). 681–687. 17 indexed citations

11.

Redón, Josep, Luis Cea‐Calvo, José Vicente Lozano, et al.. (2007). Differences in Blood Pressure Control and Stroke Mortality Across Spain. Hypertension. 49(4). 799–805. 44 indexed citations

12.

Redón, Josep, Luis Cea‐Calvo, José Vicente Lozano, et al.. (2007). Blood Pressure and Estimated Risk of Stroke in the Elderly Population of Spain. Stroke. 38(4). 1167–1173. 29 indexed citations

13.

Velasco, José A., Juan A. Rodriguez, Francisco Ridocci, & José Aznar. (2004). Action to improve secondary prevention in coronary heart disease patients: one-year follow-up of a shared care programme. European Heart Journal Supplements. 6. 13 indexed citations

14.

Merino-Torres, Juan Francisco, et al.. (2002). Plasma lipids and blood fluidity in patients with polygenic hypercholesterolaemia treated with fluvastatin.. PubMed. 27(3-4). 193–9. 3 indexed citations

15.

Llisterri, J.L., et al.. (2001). Losartan reduces microalbuminuria in hypertensive microalbuminuric type 2 diabetics. Nephrology Dialysis Transplantation. 16(suppl_1). 85–89. 27 indexed citations

16.

Vayá, Amparo, et al.. (1999). Effect of a modified fibrate (Biniwas Retard) on hemorheological alterations in hyperlipemic patients.. PubMed. 21(2). 79–85. 7 indexed citations

17.

Vayá, Amparo, et al.. (1999). Hemorheological alterations in patients with chronic renal failure. Effect of hemodialysis.. PubMed. 21(1). 1–6. 22 indexed citations

18.

Vayá, Amparo, Marcial Martı́nez, J. Dalmau, & José Aznar. (1998). Hemorheological changes in children with polygenic hypercholesterolemia.. PubMed. 19(3). 259–62. 7 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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