Mariela Paoli

7.1k total citations
53 papers, 791 citations indexed

About

Mariela Paoli is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and General Health Professions. According to data from OpenAlex, Mariela Paoli has authored 53 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Surgery and 16 papers in General Health Professions. Recurrent topics in Mariela Paoli's work include Health and Lifestyle Studies (16 papers), Obesity, Physical Activity, Diet (13 papers) and Cardiovascular Disease and Adiposity (12 papers). Mariela Paoli is often cited by papers focused on Health and Lifestyle Studies (16 papers), Obesity, Physical Activity, Diet (13 papers) and Cardiovascular Disease and Adiposity (12 papers). Mariela Paoli collaborates with scholars based in Venezuela, United States and Colombia. Mariela Paoli's co-authors include Roberto Lanes, Omar Villaroel, Peter Günczler, Marcos M. Lima-Martínez, José R. Weisinger, Anselmo Palacios, Eduardo Carrillo, Gabriela Arata-Bellabarba, Gianluca Iacobellis and Ruby Martinis and has published in prestigious journals such as The Journal of Pediatrics, Clinica Chimica Acta and Pediatric Diabetes.

In The Last Decade

Mariela Paoli

46 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariela Paoli Venezuela 16 318 264 177 157 141 53 791
Włodzimierz Łuczyński Poland 16 220 0.7× 65 0.2× 140 0.8× 91 0.6× 71 0.5× 77 729
Frank Diamond United States 15 342 1.1× 49 0.2× 71 0.4× 87 0.6× 177 1.3× 51 788
Ahreum Kwon South Korea 15 235 0.7× 65 0.2× 86 0.5× 90 0.6× 88 0.6× 68 651
Hanna Dis Margeirsdottir Norway 14 509 1.6× 175 0.7× 154 0.9× 121 0.8× 36 0.3× 25 763
Wendy J. Brickman United States 15 124 0.4× 69 0.3× 51 0.3× 120 0.8× 129 0.9× 35 562
D J Becker United States 8 679 2.1× 283 1.1× 219 1.2× 48 0.3× 66 0.5× 12 1.0k
Ciara McDonnell Ireland 16 549 1.7× 47 0.2× 298 1.7× 89 0.6× 135 1.0× 52 952
Trina Thompson United States 12 157 0.5× 695 2.6× 151 0.9× 91 0.6× 56 0.4× 22 1.1k
Leonardo Mancillas‐Adame Mexico 10 246 0.8× 123 0.5× 81 0.5× 53 0.3× 59 0.4× 34 569
J. Mo United States 6 272 0.9× 115 0.4× 61 0.3× 78 0.5× 90 0.6× 12 654

Countries citing papers authored by Mariela Paoli

Since Specialization
Citations

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

Fields of papers citing papers by Mariela Paoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariela Paoli

This figure shows the co-authorship network connecting the top 25 collaborators of Mariela Paoli. A scholar is included among the top collaborators of Mariela Paoli 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 Mariela Paoli. Mariela Paoli 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.
Paoli, Mariela, et al.. (2020). FACTORES DE RIESGO PARA EL DESARROLLO DE PIE DIABÉTICO. Redalyc (Universidad Autónoma del Estado de México).
2.
Paoli, Mariela, et al.. (2015). Overweight-obesity and cardiometabolic risk factors in adolescents from Merida city, Venezuela.. PubMed. 56(4). 389–405. 4 indexed citations
3.
Paoli, Mariela, et al.. (2015). Espesor del tejido adiposo epicárdico en niños y adolescentes con factores de riesgo cardiometabólico. Endocrinología y Nutrición. 63(2). 70–78. 5 indexed citations
4.
Briceño, Yajaira, et al.. (2014). Valores de insulina basal y post carga de glucosa oral, homa-ir y quicki, en niños y adolescentes de la ciudad de Mérida, Venezuela: Influencia del sexo y estadio puberal (estudio credefar). Actualidad Contable FACES. 12(3). 177–190. 5 indexed citations
5.
Lima-Martínez, Marcos M., et al.. (2013). Cut-off point of epicardial adipose tissue thickness for predicting metabolic syndrome in Venezuelan population. Endocrinología y Nutrición (English Edition). 60(10). 570–576. 15 indexed citations
6.
Paoli, Mariela, et al.. (2012). Consumo de alimentos, factores socioeconómicos y anemia en mujeres gestantes. 25(2). 64–72. 2 indexed citations
7.
Briceño, Yajaira, et al.. (2011). EVALUACIÓN Y ENFOQUE DIAGNÓSTICO DEL PACIENTE NO DIABÉTICO CON HIPOGLUCEMIA.. Actualidad Contable FACES. 9(2). 41–53.
8.
9.
Álvarez‐Nava, Francisco, et al.. (2010). GHR and VDR Genes do not Contribute to the Growth Hormone (GH) Response in GH Deficient and Turner Syndrome Patients. Journal of Pediatric Endocrinology and Metabolism. 23(8). 773–82. 8 indexed citations
10.
Paoli, Mariela, et al.. (2009). Obesidad en escolares de Mérida, Venezuela: asociación con factores de riesgo cardiovascular. Endocrinología y Nutrición. 56(5). 218–226. 15 indexed citations
11.
Alvarado, Jorge A., et al.. (2009). Relación entre el índice de masa corporal y las cifras de tensión arterial en adolescentes. Actualidad Contable FACES. 7(2). 17–24. 4 indexed citations
12.
Bermúdez, Andrés & Mariela Paoli. (2008). Actividad física determinada por podometría en pacientes con síndrome metabólico. Actualidad Contable FACES. 6(2). 24–30. 2 indexed citations
13.
Paoli, Mariela, et al.. (2008). Factores de riesgo cardiovascular en la obesidad. Experiencia en el niño y adolescente venezolano. 6(1). 22–24. 1 indexed citations
14.
Lanes, Roberto, et al.. (2008). Circulating Levels of High-Sensitivity C-Reactive Protein and Soluble Markers of Vascular Endothelial Cell Activation in Growth Hormone-Deficient Adolescents. Hormone Research in Paediatrics. 70(4). 230–235. 13 indexed citations
15.
Paoli, Mariela, et al.. (2008). Is Testosterone and Estrogen Priming Prior to Clonidine Useful in the Evaluation of the Growth Hormone Status of Short Peripubertal Children?. Journal of Pediatric Endocrinology and Metabolism. 21(3). 257–66. 18 indexed citations
16.
Paoli, Mariela, et al.. (2006). Validez de la determinación de lípidos utilizando el analizador portátil colestech LDX. Actualidad Contable FACES. 4(2). 30–33. 3 indexed citations
17.
Lanes, Roberto, Arlette Soros, Peter Günczler, et al.. (2006). Growth hormone deficiency, low levels of adiponectin, and unfavorable plasma lipid and lipoproteins. The Journal of Pediatrics. 149(3). 324–329. 39 indexed citations
18.
Lanes, Roberto, Mariela Paoli, Eduardo Carrillo, Omar Villaroel, & Anselmo Palacios. (2003). Cardiovascular Risk of Young Growth-Hormone-Deficient Adolescents. Hormone Research in Paediatrics. 60(6). 291–296. 50 indexed citations
19.
Günczler, Peter, Roberto Lanes, Mariela Paoli, et al.. (2001). Decreased Bone Mineral Density and Bone Formation Markers Shortly After Diagnosis of Clinical Type 1 Diabetes Mellitus. Journal of Pediatric Endocrinology and Metabolism. 14(5). 525–8. 95 indexed citations
20.
Lanes, Roberto, et al.. (1995). Bone Mineral Density of Prepubertal Age Girls with Turner’s Syndrome While on Growth Hormone Therapy. Hormone Research. 44(4). 168–171. 37 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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