León J. De Windt

13.1k total citations · 1 hit paper
129 papers, 9.1k citations indexed

About

León J. De Windt is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, León J. De Windt has authored 129 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 51 papers in Cardiology and Cardiovascular Medicine and 39 papers in Cancer Research. Recurrent topics in León J. De Windt's work include Signaling Pathways in Disease (36 papers), MicroRNA in disease regulation (28 papers) and Circular RNAs in diseases (23 papers). León J. De Windt is often cited by papers focused on Signaling Pathways in Disease (36 papers), MicroRNA in disease regulation (28 papers) and Circular RNAs in diseases (23 papers). León J. De Windt collaborates with scholars based in Netherlands, United States and Germany. León J. De Windt's co-authors include Jeffery D. Molkentin, Paula A. da Costa Martins, Hae W. Lim, Yigal M. Pinto, Orlando F. Bueno, Pieter A. Doevendans, Roel van der Nagel, Thomas R. Kimball, Tyler L. Taigen and Sandra A. Witt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

León J. De Windt

129 papers receiving 9.0k citations

Hit Papers

MiR423-5p As a Circulating Biomarker for Heart Failure 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

León J. De Windt
Gangjian Qin United States
Raj Kishore United States
Frank J. Giordano United States
Maha Abdellatif United States
Hossein Ardehali United States
Ronglih Liao United States
Nanette H. Bishopric United States
León J. De Windt
Citations per year, relative to León J. De Windt León J. De Windt (= 1×) peers Julie R. McMullen

Countries citing papers authored by León J. De Windt

Since Specialization
Citations

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

Fields of papers citing papers by León J. De Windt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by León J. De Windt. 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 León J. De Windt. The network helps show where León J. De Windt may publish in the future.

Co-authorship network of co-authors of León J. De Windt

This figure shows the co-authorship network connecting the top 25 collaborators of León J. De Windt. A scholar is included among the top collaborators of León J. De Windt 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 León J. De Windt. León J. De Windt 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.
Leite‐Moreira, Adelino, et al.. (2024). Large animal models of pressure overload-induced cardiac left ventricular hypertrophy to study remodelling of the human heart with aortic stenosis. Cardiovascular Research. 120(5). 461–475. 7 indexed citations
2.
Jesus, Carlos, Miguel Lino, Costanza Emanueli, et al.. (2024). Extracellular vesicle transfer of lncRNA H19 splice variants to cardiac cells. Molecular Therapy — Nucleic Acids. 35(3). 102233–102233. 2 indexed citations
3.
Lanz, Henriëtte L., et al.. (2023). Quantify permeability using on-a-chip models in high-throughput applications. STAR Protocols. 4(1). 102051–102051. 10 indexed citations
4.
Juni, Rio P., Ricardo C. de Abreu, Aliaksei Vasilevich, et al.. (2023). MicroRNA-216a is essential for cardiac angiogenesis. Molecular Therapy. 31(6). 1807–1828. 6 indexed citations
5.
Badimón, Lina, Emma Robinson, Amela Jusić, et al.. (2021). Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129. Cardiovascular Research. 117(8). 1823–1840. 13 indexed citations
6.
Azzouzi, Hamid el, Servé Olieslagers, Aliaksei Vasilevich, et al.. (2020). MiR-337-3p Promotes Adipocyte Browning by Inhibiting TWIST1. Cells. 9(4). 1056–1056. 20 indexed citations
7.
Martins, Paula A. da Costa, et al.. (2020). Extracellular Vesicle miRNAs in the Promotion of Cardiac Neovascularisation. Frontiers in Physiology. 11. 579892–579892. 32 indexed citations
8.
Harst, Pim van der, León J. De Windt, & John C. Chambers. (2017). Translational Perspective on Epigenetics in Cardiovascular Disease. Journal of the American College of Cardiology. 70(5). 590–606. 65 indexed citations
9.
Philippen, Leonne E., et al.. (2015). Non-coding RNA in control of gene regulatory programs in cardiac development and disease. Journal of Molecular and Cellular Cardiology. 89(Pt A). 51–58. 41 indexed citations
10.
Leite‐Moreira, Adelino, André P. Lourenço, Jean‐Luc Balligand, et al.. (2014). ESC Working Group on Myocardial Function Position Paper: How to Study the Right Ventricle in Experimental Models. European Journal of Heart Failure. 16(5). 509–518. 10 indexed citations
11.
Dirkx, Ellen, Paula A. da Costa Martins, & León J. De Windt. (2013). Regulation of fetal gene expression in heart failure. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1832(12). 2414–2424. 200 indexed citations
12.
Schroen, Blanche, Maarten F. Corsten, Wouter Verhesen, et al.. (2012). Absence of microRNA-155 protects against adverse cardiac inflammation and hypertrophy during pressure overload and prevents heart failure. Cardiovascular Research. 93. 2 indexed citations
13.
Bartelds, Beatrijs, Marinus A.J. Borgdorff, Janny Takens, et al.. (2011). Differential Responses of the Right Ventricle to Abnormal Loading Conditions in Mice: Pressure vs. Volume Load. European Journal of Heart Failure. 13(12). 1275–1282. 55 indexed citations
14.
Armand, Anne‐Sophie, Dounia Djeghloul, Sylvie Lécolle, et al.. (2011). Apoptosis-Inducing Factor Regulates Skeletal Muscle Progenitor Cell Number and Muscle Phenotype. PLoS ONE. 6(11). e27283–e27283. 27 indexed citations
15.
Martins, Paula A. da Costa, Stefanos Leptidis, Kanita Salic, & León J. De Windt. (2010). MicroRNA Regulation in Cardiovascular Disease. Current Drug Targets. 11(8). 900–906. 22 indexed citations
16.
Azzouzi, Hamid el, Ralph J. van Oort, Roel van der Nagel, et al.. (2009). MEF2 Transcriptional Activity Maintains Mitochondrial Adaptation in Cardiac Pressure Overload. European Journal of Heart Failure. 12(1). 4–12. 22 indexed citations
17.
Hegner, B., León J. De Windt, Friedrich C. Luft, et al.. (2008). Deoxycorticosterone Acetate-Salt Mice Exhibit Blood Pressure–Independent Sexual Dimorphism. Hypertension. 51(4). 1177–1183. 35 indexed citations
18.
Zelarayán, Laura C., Claudia Noack, Belaïd Sekkali, et al.. (2008). β-Catenin downregulation attenuates ischemic cardiac remodeling through enhanced resident precursor cell differentiation. Proceedings of the National Academy of Sciences. 105(50). 19762–19767. 104 indexed citations
19.
Sanna, Bastiano, Eric B. Brandt, Robert A. Kaiser, et al.. (2006). Modulatory calcineurin-interacting proteins 1 and 2 function as calcineurin facilitators in vivo. Proceedings of the National Academy of Sciences. 103(19). 7327–7332. 102 indexed citations
20.
Empel, Vanessa van, A. Bertrand, Ralph J. van Oort, et al.. (2006). EUK-8, a Superoxide Dismutase and Catalase Mimetic, Reduces Cardiac Oxidative Stress and Ameliorates Pressure Overload-Induced Heart Failure in the Harlequin Mouse Mutant. Journal of the American College of Cardiology. 48(4). 824–832. 103 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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