Rafael Gabriel

3.3k total citations · 1 hit paper
46 papers, 2.3k citations indexed

About

Rafael Gabriel is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Rafael Gabriel has authored 46 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 14 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Epidemiology. Recurrent topics in Rafael Gabriel's work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Blood Pressure and Hypertension Studies (13 papers) and Cardiovascular Function and Risk Factors (9 papers). Rafael Gabriel is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Blood Pressure and Hypertension Studies (13 papers) and Cardiovascular Function and Risk Factors (9 papers). Rafael Gabriel collaborates with scholars based in Spain, United States and Sweden. Rafael Gabriel's co-authors include Marc Miravitlles, José Luís Viejo, Carlos Villasante, Carlos A. Jiménez-Ruiz, L. Fernández-Fau, Juan F. Masa, Manuel Serrano‐Ríos, Peter M. Nilsson, V. Sobradillo and Steven M. Haffner and has published in prestigious journals such as PLoS ONE, Diabetes Care and CHEST Journal.

In The Last Decade

Rafael Gabriel

44 papers receiving 2.2k citations

Hit Papers

Geographic Variations in Prevalence and Underdiagnosis of... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers

Rafael Gabriel
Enkhe Badamgarav United States
Guichan Cao United States
Ana C. Ricardo United States
Rami Ben‐Joseph United States
Lung Taiwan
Chris Isles United Kingdom
Vidhu Thaker United States
Enkhe Badamgarav United States
Rafael Gabriel
Citations per year, relative to Rafael Gabriel Rafael Gabriel (= 1×) peers Enkhe Badamgarav

Countries citing papers authored by Rafael Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Gabriel

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Gabriel. A scholar is included among the top collaborators of Rafael Gabriel 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 Rafael Gabriel. Rafael Gabriel 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
2.
Pataky, Zoltan, Vincent Makoundou, P. Anders Nilsson, et al.. (2011). Metabolic normality in overweight and obese subjects. Which parameters? Which risks?. International Journal of Obesity. 35(9). 1208–1215. 30 indexed citations
3.
Ruiz-Nodar, Juan M., et al.. (2010). White-Coat Hypertension in the Elderly. Echocardiographic Analysis. A Substudy of the EPICARDIAN Project. Revista Española de Cardiología (English Edition). 63(11). 1377–1381. 10 indexed citations
4.
Ruiz-Nodar, Juan M., et al.. (2010). An Analysis of Cardiac Remodeling in the Elderly Population. EPICARDIAN Study. Revista Española de Cardiología (English Edition). 63(8). 989–991. 1 indexed citations
5.
Rooij, Susanne R. de, Joost Dekker, M. Kozàkovà, et al.. (2009). Fasting insulin has a stronger association with an adverse cardiometabolic risk profile than insulin resistance: the RISC study. European Journal of Endocrinology. 161(2). 223–230. 17 indexed citations
6.
Gil-Núñez, Antonio, José Vivancos, & Rafael Gabriel. (2008). Diagnóstico y prevención secundaria del infarto cerebral en España. Estudio DIAPRESIC. Medicina Clínica. 131(20). 765–769. 20 indexed citations
7.
Lorenzo, Carlos, Manuel Serrano‐Ríos, Nicholas G. Martin, et al.. (2007). Which Obesity Index Best Explains Prevalence Differences in Type 2 Diabetes Mellitus?. Obesity. 15(5). 1294–1301. 40 indexed citations
8.
Gabriel, Rafael, et al.. (2007). Psychopathological consequences after a terrorist attack: An epidemiological study among victims, the general population, and police officers. European Psychiatry. 22(6). 339–346. 77 indexed citations
9.
Blanco, Francisco J., Paloma Gil, Carmen del Arco, et al.. (2006). Association of clinic and ambulatory blood pressure with vascular damage in the elderly: the EPICARDIAN study. Blood Pressure Monitoring. 11(6). 329–335. 9 indexed citations
10.
Miravitlles, Marc, Montse Ferrer, Àngels Pont, et al.. (2005). Characteristics of a population of COPD patients identified from a population-based study. Focus on previous diagnosis and never smokers. Respiratory Medicine. 99(8). 985–995. 67 indexed citations
11.
Barrio, José Luis del, Jesús de Pedro‐Cuesta, Raquel Boix, et al.. (2005). Dementia, Stroke and Parkinson’s Disease in Spanish Populations: A Review of Door-to-Door Prevalence Surveys. Neuroepidemiology. 24(4). 179–188. 25 indexed citations
12.
Gabriel, Rafael, et al.. (2004). Epidemiología del perfil lipídico de la población anciana española: el estudio EPICARDIAN. Medicina Clínica. 122(16). 605–609. 9 indexed citations
13.
Jiménez-Ruíz, Carlos A., Marc Miravitlles, V. Sobradillo, et al.. (2004). Can cumulative tobacco consumption, FTND score, and carbon monoxide concentration in expired air be predictors of chronic obstructive pulmonary disease?. Nicotine & Tobacco Research. 6(4). 649–653. 28 indexed citations
14.
Pladevall, Manel, Heidi Guyer, Josep Reixach Sadurní, et al.. (2003). The association between leptin and left ventricular hypertrophy. Journal of Hypertension. 21(8). 1467–1473. 40 indexed citations
15.
Lorenzo, Carlos, Manuel Serrano‐Ríos, Nicholas G. Martin, et al.. (2003). Central Adiposity Determines Prevalence Differences of the Metabolic Syndrome. Obesity Research. 11(12). 1480–1487. 62 indexed citations
16.
Balkau, Beverley, Marie‐Aline Charles, Thomas Drivsholm, et al.. (2002). Frequency of the WHO metabolic syndrome in European cohorts, and an alternative definition of an insulin resistance syndrome.. PubMed. 28(5). 364–76. 411 indexed citations
17.
Miravitlles, Marc, Rafael Gabriel, Carlos A. Jiménez-Ruiz, et al.. (2000). Geographic Variations in Prevalence and Underdiagnosis of COPD. CHEST Journal. 118(4). 981–989. 529 indexed citations breakdown →
18.
Coca, António, et al.. (1999). The impact of different echocardiographic diagnostic criteria on the prevalence of left ventricular hypertrophy in essential hypertension. Journal of Hypertension. 17(10). 1471–1480. 62 indexed citations
19.
Suárez, C. Roldán, Carmen del Arco, Teresa Sáez, et al.. (1998). Monitorización ambulatoria de la presión arterial en ancianos. Estudio EPICARDIAN. Revista Española de Cardiología. 51(12). 965–971. 6 indexed citations
20.
Bonfill, Xavier, Rafael Gabriel, & Juan B Cabello. (1997). La medicina basada en la evidencia. Revista Española de Cardiología. 50(12). 819–825. 20 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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