Carlos Posadas‐Romero

2.8k total citations
129 papers, 2.2k citations indexed

About

Carlos Posadas‐Romero is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Carlos Posadas‐Romero has authored 129 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Endocrinology, Diabetes and Metabolism, 37 papers in Epidemiology and 35 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Carlos Posadas‐Romero's work include Diabetes, Cardiovascular Risks, and Lipoproteins (41 papers), Lipoproteins and Cardiovascular Health (26 papers) and Adipokines, Inflammation, and Metabolic Diseases (26 papers). Carlos Posadas‐Romero is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (41 papers), Lipoproteins and Cardiovascular Health (26 papers) and Adipokines, Inflammation, and Metabolic Diseases (26 papers). Carlos Posadas‐Romero collaborates with scholars based in Mexico, Brazil and Guatemala. Carlos Posadas‐Romero's co-authors include Guillermo Cardoso‐Saldaña, Rosalinda Posadas‐Sánchez, Gilberto Vargas‐Alarcón, José Zamora‐González, Aída Medina-Urrutia, Juan Gabriel Juárez-Rojas, Esteban Jorge‐Galarza, Margarita Torres‐Tamayo, Teresa Villarreal‐Molina and José Manuel Rodrı́guez-Pérez and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Carlos Posadas‐Romero

129 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Posadas‐Romero Mexico 25 648 498 412 401 326 129 2.2k
Ester Vitacolonna Italy 28 777 1.2× 487 1.0× 604 1.5× 373 0.9× 474 1.5× 78 3.0k
José T. Real Spain 24 824 1.3× 350 0.7× 704 1.7× 469 1.2× 462 1.4× 124 2.5k
Guillermo Cardoso‐Saldaña Mexico 22 455 0.7× 325 0.7× 275 0.7× 318 0.8× 207 0.6× 96 1.5k
W Grzeszczak Poland 31 969 1.5× 637 1.3× 429 1.0× 217 0.5× 587 1.8× 298 3.2k
Pamela A. Sakkinen United States 13 711 1.1× 720 1.4× 351 0.9× 1.1k 2.6× 290 0.9× 15 2.7k
Else‐Marie Bladbjerg Denmark 26 486 0.8× 351 0.7× 360 0.9× 271 0.7× 168 0.5× 93 2.0k
Valentina Rovella Italy 28 284 0.4× 478 1.0× 289 0.7× 372 0.9× 573 1.8× 79 2.5k
Sergio Martínez‐Hervás Spain 23 438 0.7× 225 0.5× 443 1.1× 290 0.7× 379 1.2× 117 1.6k
Pedro Valdivielso Spain 25 563 0.9× 642 1.3× 856 2.1× 324 0.8× 212 0.7× 143 2.0k
K. C. B. Tan Hong Kong 30 1.3k 2.0× 430 0.9× 725 1.8× 368 0.9× 475 1.5× 90 2.9k

Countries citing papers authored by Carlos Posadas‐Romero

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Posadas‐Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Posadas‐Romero. 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 Carlos Posadas‐Romero. The network helps show where Carlos Posadas‐Romero may publish in the future.

Co-authorship network of co-authors of Carlos Posadas‐Romero

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Posadas‐Romero. A scholar is included among the top collaborators of Carlos Posadas‐Romero 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 Carlos Posadas‐Romero. Carlos Posadas‐Romero 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.
Vargas‐Alarcón, Gilberto, Nonanzit Pérez‐Hernández, José Manuel Rodrı́guez-Pérez, et al.. (2019). MRE11A Polymorphisms Are Associated With Subclinical Atherosclerosis and Cardiovascular Risk Factors. A Case-Control Study of the GEA Mexican Project. Frontiers in Genetics. 10. 530–530. 2 indexed citations
2.
Rodrı́guez-Pérez, José Manuel, Rosalinda Posadas‐Sánchez, Rubén Blachman-Braun, et al.. (2018). HHIPL-1 (rs2895811) gene polymorphism is associated with cardiovascular risk factors and cardiometabolic parameters in Mexicans patients with myocardial infarction. Gene. 663. 34–40. 10 indexed citations
3.
Posadas‐Sánchez, Rosalinda, José Manuel Rodrı́guez-Pérez, Nonanzit Pérez‐Hernández, et al.. (2018). Raet1e Polymorphisms Are Associated with Increased Risk of Developing Premature Coronary Artery Disease and with Some Cardiometabolic Parameters: The GEA Mexican Study. Mediators of Inflammation. 2018. 1–10. 3 indexed citations
4.
Posadas‐Sánchez, Rosalinda, Nonanzit Pérez‐Hernández, Javier Ángeles-Martínez, et al.. (2017). Interleukin 35 Polymorphisms Are Associated with Decreased Risk of Premature Coronary Artery Disease, Metabolic Parameters, and IL-35 Levels: The Genetics of Atherosclerotic Disease (GEA) Study. Mediators of Inflammation. 2017. 1–10. 47 indexed citations
5.
Posadas‐Romero, Carlos, Rosalinda Posadas‐Sánchez, Eric Kimura‐Hayama, et al.. (2017). Prevalencia y extensión de la calcificación arterial coronaria en población mexicana asintomática cardiovascular: estudio Genética de la Enfermedad Aterosclerosa. Archivos de cardiología de México. 87(4). 292–301. 5 indexed citations
6.
Vargas‐Alarcón, Gilberto, Nancy Martínez‐Rodríguez, Rafael Velázquez‐Cruz, et al.. (2016). The T>A (rs11646213) gene polymorphism of cadherin-13 (CDH13) gene is associated with decreased risk of developing hypertension in Mexican population. Immunobiology. 222(10). 973–978. 9 indexed citations
7.
Medina-Urrutia, Aída, Juan Gabriel Juárez-Rojas, Rosalinda Posadas‐Sánchez, et al.. (2016). Microalbuminuria and its Association with Subclinical Atherosclerosis in the Mexican Mestizo population: the GEA study. Revista de investigaci�n Cl�nica. 68(5). 262–268. 4 indexed citations
8.
Posadas‐Sánchez, Rosalinda, Javier Ángeles-Martínez, Nonanzit Pérez‐Hernández, et al.. (2016). Receptor-interacting protein 2 (RIP2) gene polymorphisms are associated with increased risk of subclinical atherosclerosis and clinical and metabolic parameters. The Genetics of Atherosclerotic Disease (GEA) Mexican study. Experimental and Molecular Pathology. 102(1). 1–6. 2 indexed citations
9.
Martínez-Alvarado, María R., Juan Gabriel Juárez-Rojas, Aída Medina-Urrutia, et al.. (2015). Association of fatty liver with cardiovascular risk factors and subclinical atherosclerosis in a Mexican population.. PubMed. 66(5). 407–14. 7 indexed citations
10.
Cardoso‐Saldaña, Guillermo, et al.. (2015). [Obesity or overweight and metabolic syndrome in Mexico City teenagers].. PubMed. 80(1). 12–8. 14 indexed citations
11.
Medina-Urrutia, Aída, Juan Gabriel Juárez-Rojas, Guillermo Cardoso‐Saldaña, et al.. (2014). Patrones dietarios y de actividad física en población mexicana: asociación con hígado graso. Gaceta Médica de México. 150(1). 39–47. 2 indexed citations
12.
Vargas‐Alarcón, Gilberto, Carlos Posadas‐Romero, Teresa Villarreal‐Molina, et al.. (2014). IL-24 Gene Polymorphisms Are Associated with Cardiometabolic Parameters and Cardiovascular Risk Factors But Not with Premature Coronary Artery Disease: The Genetics of Atherosclerotic Disease Mexican Study. Journal of Interferon & Cytokine Research. 34(9). 659–666. 11 indexed citations
13.
Posadas‐Sánchez, Rosalinda, Carlos Posadas‐Romero, Teresa Villarreal‐Molina, et al.. (2014). Hepatic lipase (LIPC) C-514T gene polymorphism is associated with cardiometabolic parameters and cardiovascular risk factors but not with fatty liver in Mexican population. Experimental and Molecular Pathology. 98(1). 93–98. 18 indexed citations
14.
Pérez‐Hernández, Nonanzit, Gilberto Vargas‐Alarcón, Nancy Martínez‐Rodríguez, et al.. (2014). Protective role of DDAH2 (rs805304) gene polymorphism in patients with myocardial infarction. Experimental and Molecular Pathology. 97(3). 393–398. 7 indexed citations
15.
López-Reyes, Alberto, José Manuel Rodrı́guez-Pérez, Javier Fernández‐Torres, et al.. (2014). The HIF1A rs2057482 polymorphism is associated with risk of developing premature coronary artery disease and with some metabolic and cardiovascular risk factors. The Genetics of Atherosclerotic Disease (GEA) Mexican Study. Experimental and Molecular Pathology. 96(3). 405–410. 21 indexed citations
16.
Rodrı́guez-Pérez, José Manuel, Nancy Martínez‐Rodríguez, Gilberto Vargas‐Alarcón, et al.. (2014). TIMP2 gene polymorphisms are associated with hypertension in patients with myocardial infarction. Journal of Genetics. 93(2). 517–522. 4 indexed citations
17.
Hernández‐Torres, Rosa Patricia, Arnulfo Ramos‐Jiménez, Patricia V. Torres-Durán, et al.. (2008). Effects of single sessions of low-intensity continuous and moderate-intensity intermittent exercise on blood lipids in the same endurance runners. Journal of science and medicine in sport. 12(2). 323–331. 19 indexed citations
18.
Posadas‐Sánchez, Rosalinda, et al.. (2007). Lipid and lipoprotein profiles and prevalence of dyslipidemia in Mexican adolescents. Metabolism. 56(12). 1666–1672. 42 indexed citations
19.
Posadas‐Romero, Carlos, Antonio G. Hermosillo, José Zamora‐González, et al.. (2003). Estrogen effect on heart rate variability in hypertensive postmenopausal women. Maturitas. 44(1). 39–48. 37 indexed citations
20.
Pérez‐Méndez, Óscar, Gérald Luc, & Carlos Posadas‐Romero. (2000). Concentraciones bajas de lipoproteínas de alta densidad (HDL) en plasma y enfermedad arterial coronaria. Revista Portuguesa de Pneumologia. 70(3). 312–321. 3 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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