Fátima Almagro

872 total citations
11 papers, 434 citations indexed

About

Fátima Almagro is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Fátima Almagro has authored 11 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Cancer Research. Recurrent topics in Fátima Almagro's work include Lipoproteins and Cardiovascular Health (9 papers), Cancer, Lipids, and Metabolism (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Fátima Almagro is often cited by papers focused on Lipoproteins and Cardiovascular Health (9 papers), Cancer, Lipids, and Metabolism (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Fátima Almagro collaborates with scholars based in Spain, Chile and Italy. Fátima Almagro's co-authors include Fernando Civeira, Miguel Pocovı́, Núria Plana, Emilio Ros, Francisco Fuentes, José Puzo, Estíbaliz Jarauta, Daniel Zambón, Sofía Pérez‐Calahorra and L. Masana and has published in prestigious journals such as Scientific Reports, The American Journal of Cardiology and Clinica Chimica Acta.

In The Last Decade

Fátima Almagro

11 papers receiving 425 citations

Peers

Fátima Almagro

SURGE

EDM

CCM

M.A.W. Umans-Eckenhausen Netherlands

Luis Irigoyen Spain

D. Datta United Kingdom

Konrad Schmidt Austria

Shubham Shan Canada

Pedro Luis Ruíz Sáenz Spain

Sven Bos Netherlands

Khalid Al-Waili Oman

Lubomira Cermakova Canada

M.A.W. Umans-Eckenhausen Netherlands

Fátima Almagro

450 ×1.1

SURGE

166 ×1.0

EDM

123 ×0.8

108 ×1.0

CCM

93 ×1.8

Citations per year, relative to Fátima Almagro Fátima Almagro (= 1×) peers M.A.W. Umans-Eckenhausen

Countries citing papers authored by Fátima Almagro

Since Specialization

Citations

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

Fields of papers citing papers by Fátima Almagro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fátima Almagro

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

All Works

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11 of 11 papers shown

Pérez‐Calahorra, Sofía, Martín Laclaustra, Victoria Marco-Benedí, et al.. (2019). Effect of lipid-lowering treatment in cardiovascular disease prevalence in familial hypercholesterolemia. Atherosclerosis. 284. 245–252. 45 indexed citations

Ariza, María José, Carmen Pérez-López, Fátima Almagro, et al.. (2019). Genetic variants in the LPL and GPIHBP1 genes, in patients with severe hypertriglyceridaemia, detected with high resolution melting analysis. Clinica Chimica Acta. 500. 163–171. 8 indexed citations

Climent, Elisenda, Sofía Pérez‐Calahorra, Victoria Marco-Benedí, et al.. (2017). Effect of LDL cholesterol, statins and presence of mutations on the prevalence of type 2 diabetes in heterozygous familial hypercholesterolemia. Scientific Reports. 7(1). 5596–5596. 43 indexed citations

Sánchez-Hernández, Rosa M., Fernando Civeira, Marianne Stef, et al.. (2016). Homozygous Familial Hypercholesterolemia in Spain. Circulation Cardiovascular Genetics. 9(6). 504–510. 43 indexed citations

Alonso, Rodrigo, José Luis Díaz-Díaz, Francisco Arrieta, et al.. (2016). Clinical and molecular characteristics of homozygous familial hypercholesterolemia patients: Insights from SAFEHEART registry. Journal of clinical lipidology. 10(4). 953–961. 34 indexed citations

Pérez‐Calahorra, Sofía, Rosa M. Sánchez-Hernández, Núria Plana, et al.. (2016). Value of the Definition of Severe Familial Hypercholesterolemia for Stratification of Heterozygous Patients. The American Journal of Cardiology. 119(5). 742–748. 11 indexed citations

Brea, Ángel, Daniel Mosquera, José María Mostaza, et al.. (2011). Hipertrigliceridemia, esteatosis hepática y riesgo cardiovascular. Clínica e Investigación en Arteriosclerosis. 23(2). 72–77. 1 indexed citations

Junyent, Mireia, Rosa Gilabert, Estíbaliz Jarauta, et al.. (2009). Impact of low-density lipoprotein receptor mutational class on carotid atherosclerosis in patients with familial hypercholesterolemia. Atherosclerosis. 208(2). 437–441. 38 indexed citations

Civeira, Fernando, Emilio Ros, Estíbaliz Jarauta, et al.. (2008). Comparison of Genetic Versus Clinical Diagnosis in Familial Hypercholesterolemia. The American Journal of Cardiology. 102(9). 1187–1193.e1. 131 indexed citations

10.

Mozas, Pilar, Sergio Castillo, Diego Tejedor, et al.. (2004). Molecular characterization of familial hypercholesterolemia in Spain: Identification of 39 novel and 77 recurrent mutations in LDLR. Human Mutation. 24(2). 187–187. 72 indexed citations

11.

Garcés, Cármen, et al.. (2000). Manifestaciones clínicas de la hipercolesterolemia familiar heterozigota en España. Estudio de 301 casos de la zona centro y norte. Medicina Clínica. 114(2). 50–51. 8 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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