Eunice Ugel

17.0k total citations
23 papers, 135 citations indexed

About

Eunice Ugel is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Eunice Ugel has authored 23 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 9 papers in Public Health, Environmental and Occupational Health and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Eunice Ugel's work include Health and Lifestyle Studies (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Global Public Health Policies and Epidemiology (6 papers). Eunice Ugel is often cited by papers focused on Health and Lifestyle Studies (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Global Public Health Policies and Epidemiology (6 papers). Eunice Ugel collaborates with scholars based in Venezuela, United States and Czechia. Eunice Ugel's co-authors include Ramfis Nieto‐Martínez, Juan P. González‐Rivas, Imperia Brajkovich, Jeffrey I. Mechanick, Alejandro Rísquez, Hermes Flórez, Pablo Aschner, Lindsay M. Jaacks, Jorge E. Chavarro and W. Timothy Garvey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nutrients and Endocrine Practice.

In The Last Decade

Eunice Ugel

22 papers receiving 129 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eunice Ugel Venezuela 8 47 44 43 38 31 23 135
Carlos Cure Colombia 7 29 0.6× 34 0.8× 77 1.8× 33 0.9× 42 1.4× 8 187
Semánová Csilla Hungary 5 40 0.9× 94 2.1× 54 1.3× 14 0.4× 18 0.6× 9 218
Adil Supiyev Kazakhstan 6 19 0.4× 50 1.1× 23 0.5× 9 0.2× 37 1.2× 13 140
Alain Morejón Cuba 3 25 0.5× 27 0.6× 44 1.0× 26 0.7× 21 0.7× 3 134
Maria Calabrese Italy 7 20 0.4× 32 0.7× 24 0.6× 11 0.3× 21 0.7× 10 111
Alejandra Montoya Mexico 8 24 0.5× 23 0.5× 23 0.5× 10 0.3× 12 0.4× 32 157
A K Das India 4 28 0.6× 141 3.2× 46 1.1× 44 1.2× 71 2.3× 6 238
Son Thai Pham Vietnam 6 16 0.3× 20 0.5× 46 1.1× 33 0.9× 68 2.2× 6 128
Nareemarn Neelapaichit Thailand 6 19 0.4× 18 0.4× 25 0.6× 9 0.2× 18 0.6× 20 89
Raúl Ramírez-Reyes Mexico 8 17 0.4× 57 1.3× 21 0.5× 6 0.2× 25 0.8× 15 139

Countries citing papers authored by Eunice Ugel

Since Specialization
Citations

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

Fields of papers citing papers by Eunice Ugel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunice Ugel

This figure shows the co-authorship network connecting the top 25 collaborators of Eunice Ugel. A scholar is included among the top collaborators of Eunice Ugel 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 Eunice Ugel. Eunice Ugel 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.
Velasquez‐Mieyer, Pedro, et al.. (2024). Relative Body Mass Index Improves the BMI Percentile Performance for Detection and Monitoring of Excess Adiposity in Adolescents. Nutrients. 16(5). 703–703. 3 indexed citations
2.
3.
Nieto‐Martínez, Ramfis, et al.. (2020). Cardiometabolic risk factors in Venezuela. The EVESCAM study: a national cross-sectional survey in adults. Primary care diabetes. 15(1). 106–114. 9 indexed citations
4.
González‐Rivas, Juan P., et al.. (2020). Valores óptimos de punto de corte de circunferencia abdominal para predecir alteraciones cardiometabólicas en una muestra representativa nacional de Venezuela. El estudio EVESCAM. SHILAP Revista de lepidopterología. 91(3). 272–280. 4 indexed citations
5.
Goodman, Dina, Juan P. González‐Rivas, Lindsay M. Jaacks, et al.. (2020). Dietary intake and cardiometabolic risk factors among Venezuelan adults: a nationally representative analysis. BMC Nutrition. 6(1). 61–61. 12 indexed citations
6.
González‐Rivas, Juan P., et al.. (2019). Cardiovascular Health in a National Sample of Venezuelan Subjects Assessed According to the AHA Score: The EVESCAM. Global Heart. 14(3). 285–285. 3 indexed citations
7.
González‐Rivas, Juan P., et al.. (2019). Diabetes and depression were not associated in Venezuelan adults: The EVESCAM study, a national cross-sectional sample. Primary care diabetes. 13(5). 441–445. 3 indexed citations
8.
9.
Nieto‐Martínez, Ramfis, et al.. (2019). External validation of the Finnish diabetes risk score in Venezuela using a national sample: The EVESCAM. Primary care diabetes. 13(6). 574–582. 10 indexed citations
10.
Nieto‐Martínez, Ramfis, Juan P. González‐Rivas, & Eunice Ugel. (2018). Prevalence of cardiometabolic risk factors in three populations from Venezuela: the VEMSOLS STUDY 2006-2010. 31(1). 4 indexed citations
11.
Nieto‐Martínez, Ramfis, Juan P. González‐Rivas, Eunice Ugel, et al.. (2017). Cardio-Metabolic Health Venezuelan Study (EVESCAM): Design and Implementation.. PubMed. 58(1). 56–69. 11 indexed citations
12.
González‐Rivas, Juan P., Ramfis Nieto‐Martínez, Imperia Brajkovich, Eunice Ugel, & Alejandro Rísquez. (2017). Prevalence of Dyslipidemias in Three Regions in Venezuela: The VEMSOLS Study Results. Arquivos Brasileiros de Cardiologia. 110(1). 30–35. 14 indexed citations
13.
Nieto‐Martínez, Ramfis, Jeffrey I. Mechanick, Imperia Brajkovich, et al.. (2017). Prevalence of diabetes in three regions of Venezuela. The VEMSOLS study results. Primary care diabetes. 12(2). 126–132. 15 indexed citations
14.
Nieto‐Martínez, Ramfis, Juan P. González‐Rivas, Eunice Ugel, et al.. (2017). Application Of The Aace/Ace Advanced Framework For The Diagnosis Of Obesity And Cardiometabolic Disease Staging In A General Population From 3 Regions Of Venezuela: The Vemsols Study Results. Endocrine Practice. 24(1). 6–13. 8 indexed citations
15.
González‐Rivas, Juan P., et al.. (2016). High prevalence and poor control of hypertension in five venezuelan populations: the VEMSOLS study.. PubMed. 57(4). 364–76. 2 indexed citations
16.
Ugel, Eunice, et al.. (2015). Estudio venezolano de salud cardiometabólica (EVESCAM): descripción general y muestreo. 31(2). 1 indexed citations
17.
Ugel, Eunice, et al.. (2011). Prevalencia de síndrome metabólico, obesidad y alteración de la glucemia en ayunas en adultos del páramo del Estado Mérida, Venezuela (estudio VEMSOLS). 27(4). 5 indexed citations
18.
Ugel, Eunice, et al.. (2006). Caries dental en personas con retraso mental y Síndrome de Down. Revista de Salud Pública. 8(3). 207–13. 8 indexed citations
19.
Ugel, Eunice, et al.. (2005). salud oral de las personas con retraso mental en cuatro municipios del estado lara, 2003. Acta odontológica venezolana. 43(3). 275–281. 7 indexed citations
20.
Ugel, Eunice, et al.. (2005). Oral health of mentally retarded persons in four counties of lara state (venezuela), 2003. Acta odontológica venezolana. 43(3). 275–281. 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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