Eduardo M. Escudero

721 total citations
20 papers, 583 citations indexed

About

Eduardo M. Escudero is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Molecular Biology. According to data from OpenAlex, Eduardo M. Escudero has authored 20 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 6 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Eduardo M. Escudero's work include Cardiovascular Function and Risk Factors (8 papers), Adipose Tissue and Metabolism (4 papers) and Cardiovascular Effects of Exercise (4 papers). Eduardo M. Escudero is often cited by papers focused on Cardiovascular Function and Risk Factors (8 papers), Adipose Tissue and Metabolism (4 papers) and Cardiovascular Effects of Exercise (4 papers). Eduardo M. Escudero collaborates with scholars based in Argentina, United States and Germany. Eduardo M. Escudero's co-authors include Horacio E. Cingolani, Néstor G. Pérez, Irene L. Ennis, Marı́a C. Camilión de Hurtado, Carolina D. Garciarena, María C. Villa‐Abrille, Joanne Brown, Brian Mangal, Gloria M. Cónsole and Ernesto A. Aiello and has published in prestigious journals such as Hypertension, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Eduardo M. Escudero

19 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo M. Escudero Argentina 11 354 240 95 76 72 20 583
Sumit Kar United States 10 241 0.7× 261 1.1× 68 0.7× 51 0.7× 55 0.8× 18 601
Hideo Tachibana United States 12 318 0.9× 296 1.2× 49 0.5× 68 0.9× 45 0.6× 19 655
Andrea Schrepper Germany 14 401 1.1× 433 1.8× 239 2.5× 81 1.1× 18 0.3× 28 802
Kan Yang China 15 274 0.8× 209 0.9× 37 0.4× 38 0.5× 19 0.3× 36 575
Yangjing Xue China 16 148 0.4× 229 1.0× 29 0.3× 72 0.9× 31 0.4× 36 628
Richard M. Fitch United States 11 388 1.1× 95 0.4× 181 1.9× 22 0.3× 60 0.8× 20 695
G. Gaia Italy 11 248 0.7× 231 1.0× 125 1.3× 148 1.9× 10 0.1× 18 562
Christian Negut Italy 14 382 1.1× 177 0.7× 134 1.4× 44 0.6× 25 0.3× 16 753
Manuela Zampino United States 6 294 0.8× 224 0.9× 44 0.5× 14 0.2× 47 0.7× 8 557
Jean Paul Henry France 7 597 1.7× 118 0.5× 254 2.7× 27 0.4× 37 0.5× 10 761

Countries citing papers authored by Eduardo M. Escudero

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo M. Escudero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo M. Escudero. 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 Eduardo M. Escudero. The network helps show where Eduardo M. Escudero may publish in the future.

Co-authorship network of co-authors of Eduardo M. Escudero

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo M. Escudero. A scholar is included among the top collaborators of Eduardo M. Escudero 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 Eduardo M. Escudero. Eduardo M. Escudero 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.
Yeves, Alejandra M., et al.. (2014). Physiological cardiac hypertrophy: Critical role of AKT in the prevention of NHE-1 hyperactivity. Journal of Molecular and Cellular Cardiology. 76. 186–195. 33 indexed citations
2.
Escudero, Eduardo M., et al.. (2013). Gender differences in cardiac left ventricular mass and function: Clinical and experimental observations. Cardiology Journal. 21(1). 53–59. 3 indexed citations
3.
Escudero, Eduardo M., et al.. (2012). Sex-Related Difference in Left Ventricular Mass in Nonhypertensive Young Adults: Role of Arterial Pressure. Canadian Journal of Cardiology. 28(4). 464–470. 2 indexed citations
4.
Cingolani, Oscar H., Néstor G. Pérez, Irene L. Ennis, et al.. (2011). In vivo key role of reactive oxygen species and NHE-1 activation in determining excessive cardiac hypertrophy. Pflügers Archiv - European Journal of Physiology. 462(5). 733–743. 29 indexed citations
5.
Rodríguez, Edgardo, et al.. (2010). Is the E/V p index useful for evaluating prognosis in chronic heart failure with atrial fibrillation? A pilot study. Journal of Echocardiography. 8(3). 80–86.
6.
Garciarena, Carolina D., Mariela B. Nolly, Rubén P. Laguens, et al.. (2009). Endurance Training in the Spontaneously Hypertensive Rat. Hypertension. 53(4). 708–714. 78 indexed citations
7.
Escudero, Eduardo M., et al.. (2009). [Echocardiographic study of left ventricular geometry in spontaneously hypertensive rats].. PubMed. 69(3). 335–40. 2 indexed citations
8.
Escudero, Eduardo M., et al.. (2008). [Paradigms and paradoxes of left ventricular hypertrophy: from the research laboratory to the clinical consultation].. PubMed. 77(3). 237–48. 4 indexed citations
9.
Cartasegna, Luis R, et al.. (2007). [Embolism predictors of infective endocarditis].. PubMed. 67(1). 39–43. 1 indexed citations
10.
11.
Pérez, Néstor G., Irene L. Ennis, Carolina D. Garciarena, et al.. (2007). Phosphodiesterase 5A Inhibition Induces Na + /H + Exchanger Blockade and Protection Against Myocardial Infarction. Hypertension. 49(5). 1095–1103. 50 indexed citations
12.
Cingolani, Horacio E., et al.. (2006). The Effect of Xanthine Oxidase Inhibition Upon Ejection Fraction in Heart Failure Patients: La Plata Study. Journal of Cardiac Failure. 12(7). 491–498. 97 indexed citations
13.
Luciardi, Héctor, et al.. (2006). Diagnostic role of new Doppler index in assessment of renal artery stenosis. Cardiovascular Ultrasound. 4(1). 4–4. 16 indexed citations
14.
Escudero, Eduardo M., et al.. (2006). [Echocardiographic analysis of the effect of different Na+/H+ exchanger inhibitors on left ventricular structure and function in spontaneously hypertensive rats].. PubMed. 66(5). 392–8. 3 indexed citations
15.
Escudero, Eduardo M., et al.. (2004). Serum carboxyl‐terminal propeptide of procollagen type I in exercise‐induced left ventricular hypertrophy. Clinical Cardiology. 27(8). 471–474. 8 indexed citations
16.
Aiello, Ernesto A., María C. Villa‐Abrille, Eduardo M. Escudero, et al.. (2004). Myocardial hypertrophy of normotensive Wistar-Kyoto rats. American Journal of Physiology-Heart and Circulatory Physiology. 286(4). H1229–H1235. 84 indexed citations
17.
Ennis, Irene L., Eduardo M. Escudero, Gloria M. Cónsole, et al.. (2003). Regression of Isoproterenol-Induced Cardiac Hypertrophy by Na + /H + Exchanger Inhibition. Hypertension. 41(6). 1324–1329. 97 indexed citations
18.
19.
Ennis, Irene L., Eduardo M. Escudero, Néstor G. Pérez, Marı́a C. Camilión de Hurtado, & Horacio E. Cingolani. (2002). 39 Regression of isoproterenol-induced myocardial hypertrophy by Na+/H+ exchanger inhibition. Journal of Molecular and Cellular Cardiology. 34(9). A17–A17. 3 indexed citations
20.
Escudero, Eduardo M., et al.. (1998). Bilateral Atrial Function After Chemical Cardioversion of Atrial Fibrillation with Amiodarone: An Echo-Doppler Study. Journal of the American Society of Echocardiography. 11(4). 365–371. 10 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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