Michal Pásek

629 total citations
42 papers, 483 citations indexed

About

Michal Pásek is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michal Pásek has authored 42 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cardiology and Cardiovascular Medicine, 31 papers in Molecular Biology and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michal Pásek's work include Cardiac electrophysiology and arrhythmias (40 papers), Ion channel regulation and function (29 papers) and Neuroscience and Neural Engineering (12 papers). Michal Pásek is often cited by papers focused on Cardiac electrophysiology and arrhythmias (40 papers), Ion channel regulation and function (29 papers) and Neuroscience and Neural Engineering (12 papers). Michal Pásek collaborates with scholars based in Czechia, France and United Kingdom. Michal Pásek's co-authors include Jiří Šimurda, Clive H. Orchard, Georges Christé, Markéta Bébarová, Peter Matejovič, Fabien Brette, Andy Nelson, Asif Ali Qaiser, Marie Novàkovâ and Roman Kula and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and Journal of Cell Science.

In The Last Decade

Michal Pásek

39 papers receiving 477 citations

Peers

Michal Pásek
Zhong Jian United States
Eva Rasenack Germany
D Noble United Kingdom
Arthur Peskoff United States
Didier X.P. Brochet United States
Demetrio J. Santiago United States
Michal Pásek
Citations per year, relative to Michal Pásek Michal Pásek (= 1×) peers Jiří Šimurda

Countries citing papers authored by Michal Pásek

Since Specialization
Citations

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

Fields of papers citing papers by Michal Pásek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Pásek

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Pásek. A scholar is included among the top collaborators of Michal Pásek 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 Michal Pásek. Michal Pásek 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.
Bébarová, Markéta, Roman Kula, Michal Pásek, et al.. (2024). Aminophylline at clinically relevant concentrations affects inward rectifier potassium current in healthy porcine and failing human cardiomyocytes in a similar manner. Biomedicine & Pharmacotherapy. 181. 117733–117733. 1 indexed citations
2.
Pásek, Michal, Jiří Šimurda, Markéta Bébarová, & Georges Christé. (2021). Divergent estimates of the ratio between Na+-Ca2+ current densities in t-tubular and surface membranes of rat ventricular cardiomyocytes. Journal of Cell Science. 134(14). 2 indexed citations
3.
Burša, Jiří, et al.. (2020). Impact of Decreased Transmural Conduction Velocity on the Function of the Human Left Ventricle: A Simulation Study. BioMed Research International. 2020(1). 2867865–2867865.
4.
Kula, Roman, Markéta Bébarová, Peter Matejovič, Jiří Šimurda, & Michal Pásek. (2020). Distribution of data in cellular electrophysiology: Is it always normal?. Progress in Biophysics and Molecular Biology. 157. 11–17. 8 indexed citations
5.
Bébarová, Markéta, Michal Pásek, & Ivan Zahradnı́k. (2020). Toward more accurate data in cardiac cellular electrophysiology. Progress in Biophysics and Molecular Biology. 157. 1–2. 2 indexed citations
6.
Kula, Roman, Markéta Bébarová, Peter Matejovič, Jiří Šimurda, & Michal Pásek. (2019). Current density as routine parameter for description of ionic membrane current: is it always the best option?. Progress in Biophysics and Molecular Biology. 157. 24–32. 9 indexed citations
7.
8.
Pásek, Michal, Jiří Šimurda, & Georges Christé. (2017). Different Densities of Na-Ca Exchange Current in T-Tubular and Surface Membranes and Their Impact on Cellular Activity in a Model of Rat Ventricular Cardiomyocyte. BioMed Research International. 2017. 1–9. 8 indexed citations
9.
Pásek, Michal, et al.. (2015). Acute effects of ethanol on action potential and intracellular Ca2+ transient in cardiac ventricular cells: a simulation study. Medical & Biological Engineering & Computing. 54(5). 753–762. 9 indexed citations
10.
Bébarová, Markéta, et al.. (2010). Effect of ethanol on action potential and ionic membrane currents in rat ventricular myocytes. Acta Physiologica. 200(4). 301–314. 25 indexed citations
11.
Bébarová, Markéta, et al.. (2009). Effect of antipsychotic drug perphenazine on fast sodium current and transient outward potassium current in rat ventricular myocytes. Naunyn-Schmiedeberg s Archives of Pharmacology. 380(2). 125–133. 7 indexed citations
12.
Orchard, Clive H., Michal Pásek, & Fabien Brette. (2009). The role of mammalian cardiac t‐tubules in excitation–contraction coupling: experimental and computational approaches. Experimental Physiology. 94(5). 509–519. 49 indexed citations
13.
Šimurda, Jiří, Georges Christé, & Michal Pásek. (2008). Modelling in cardiac electrophysiology. 16(6).
14.
Pásek, Michal, Jiří Šimurda, Clive H. Orchard, & Georges Christé. (2007). A model of the guinea-pig ventricular cardiac myocyte incorporating a transverse–axial tubular system. Progress in Biophysics and Molecular Biology. 96(1-3). 258–280. 47 indexed citations
15.
Christé, Georges, Mohamed Chahine, Philippe Chevalier, & Michal Pásek. (2007). Changes in action potentials and intracellular ionic homeostasis in a ventricular cell model related to a persistent sodium current in SCN5A mutations underlying LQT3. Progress in Biophysics and Molecular Biology. 96(1-3). 281–293. 5 indexed citations
16.
Bébarová, Markéta, Peter Matejovič, Michal Pásek, & Marie Novàkovâ. (2005). Effect of Sigma Ligand Haloperidol on Transient OutwardPotassium Current in Rat Cardiomyocytes. Journal of Molecular and Cellular Cardiology. 39(1). 1 indexed citations
17.
Christé, Georges, Jiří Šimurda, Clive H. Orchard, & Michal Pásek. (2005). Cycling of cations between T-tubular and surface membranes in amodel of guinea-pig ventricular cardiomyocyte. Journal of Molecular and Cellular Cardiology. 2 indexed citations
18.
Pásek, Michal, Georges Christé, Jiří Šimurda, & Clive H. Orchard. (2004). Changes of [Ca2+] in the t-tubule lumen during activity maymodulate the inotropic state of rat cardiac ventricularmyocytes. Proceedings of The Physiological Society. 1 indexed citations
19.
Pásek, Michal & Jiří Šimurda. (2004). Quantitative modelling of interaction of propafenone with sodium channels in cardiac cells. Medical & Biological Engineering & Computing. 42(2). 151–157. 7 indexed citations
20.
Matejovič, Peter, et al.. (2002). Ajmaline-induced block of sodium current in rat ventricularmyocytes. 75(4). 5 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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