Michael Clerx

966 total citations
28 papers, 515 citations indexed

About

Michael Clerx is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael Clerx has authored 28 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael Clerx's work include Cardiac electrophysiology and arrhythmias (21 papers), Ion channel regulation and function (15 papers) and Receptor Mechanisms and Signaling (9 papers). Michael Clerx is often cited by papers focused on Cardiac electrophysiology and arrhythmias (21 papers), Ion channel regulation and function (15 papers) and Receptor Mechanisms and Signaling (9 papers). Michael Clerx collaborates with scholars based in United Kingdom, Netherlands and Switzerland. Michael Clerx's co-authors include Gary R. Mirams, Chon Lok Lei, David J. Gavaghan, Paul G.A. Volders, Pieter Collins, Enno de Lange, David J. Whittaker, Kylie A. Beattie, David J. Christini and Ken Wang and has published in prestigious journals such as Scientific Reports, Biophysical Journal and Advanced Science.

In The Last Decade

Michael Clerx

26 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Clerx United Kingdom 13 393 315 110 52 35 28 515
Kylie A. Beattie United Kingdom 10 399 1.0× 295 0.9× 83 0.8× 47 0.9× 32 0.9× 21 502
Oliver J. Britton United Kingdom 8 649 1.7× 558 1.8× 161 1.5× 27 0.5× 29 0.8× 11 945
Trine Krogh‐Madsen United States 19 643 1.6× 455 1.4× 207 1.9× 17 0.3× 20 0.6× 40 775
David J. Gallacher Belgium 8 313 0.8× 266 0.8× 106 1.0× 12 0.2× 10 0.3× 11 452
Ross H. Johnstone United Kingdom 4 202 0.5× 130 0.4× 41 0.4× 30 0.6× 23 0.7× 4 247
Kirill Skouibine United States 7 293 0.7× 108 0.3× 125 1.1× 10 0.2× 11 0.3× 11 346
Vladimir E. Bondarenko United States 16 517 1.3× 585 1.9× 258 2.3× 6 0.1× 12 0.3× 55 835
Saleet Jafri United States 3 596 1.5× 473 1.5× 167 1.5× 3 0.1× 10 0.3× 6 665
Michael A. Colman United Kingdom 17 766 1.9× 257 0.8× 105 1.0× 4 0.1× 3 0.1× 51 871
Takumi Uchida United States 10 483 1.2× 162 0.5× 63 0.6× 2 0.0× 6 0.2× 15 574

Countries citing papers authored by Michael Clerx

Since Specialization
Citations

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

Fields of papers citing papers by Michael Clerx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Clerx

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Clerx. A scholar is included among the top collaborators of Michael Clerx 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 Michael Clerx. Michael Clerx 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.
Lei, Chon Lok, Michael Clerx, Teun P. de Boer, et al.. (2025). Resolving Artifacts in Voltage‐Clamp Experiments with Computational Modeling: An Application to Fast Sodium Current Recordings. Advanced Science. 12(30). e00691–e00691. 1 indexed citations
2.
Clerx, Michael, Paul G.A. Volders, & Gary R. Mirams. (2025). Variability in reported midpoints of (in)activation of cardiac INa. The Journal of General Physiology. 157(5).
3.
Mirams, Gary R., Michael Clerx, David J. Whittaker, & Chon Lok Lei. (2024). Optimal experimental designs for characterising ion channel gating by filling the phase-voltage space of model dynamics. Repository@Nottingham (University of Nottingham). 1(1). 1 indexed citations
4.
Lei, Chon Lok, Michael Clerx, David J. Gavaghan, & Gary R. Mirams. (2023). Model-driven optimal experimental design for calibrating cardiac electrophysiology models. Computer Methods and Programs in Biomedicine. 240. 107690–107690. 7 indexed citations
5.
Lambert, Ben, Chon Lok Lei, Martin Robinson, et al.. (2023). Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems. Journal of The Royal Society Interface. 20(199). 7 indexed citations
6.
Clerx, Michael, Fergus Cooper, Liudmila Polonchuk, et al.. (2023). Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment. Frontiers in Pharmacology. 14. 1110555–1110555. 2 indexed citations
7.
Polonchuk, Liudmila, Gary R. Mirams, Michael Clerx, et al.. (2022). Normalisation of Action Potential Data Recorded with Sharp Electrodes Maximises Its Utility for Model Development. Computing in cardiology.
8.
Wang, Ken, Liudmila Polonchuk, Jonathan Cooper, et al.. (2022). Models of the cardiac L‐type calcium current: A quantitative review. PubMed. 15(1). e1581–e1581. 6 indexed citations
9.
Clerx, Michael, David J. Whittaker, Ken Wang, et al.. (2022). A Parameter Representing Missing Charge Should Be Considered when Calibrating Action Potential Models. Frontiers in Physiology. 13. 879035–879035. 5 indexed citations
10.
Lei, Chon Lok, Michael Clerx, David J. Whittaker, et al.. (2020). Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 378(2173). 20190348–20190348. 36 indexed citations
11.
Whittaker, David J., Michael Clerx, Chon Lok Lei, David J. Christini, & Gary R. Mirams. (2020). Calibration of ionic and cellular cardiac electrophysiology models. WIREs Systems Biology and Medicine. 12(4). e1482–e1482. 69 indexed citations
12.
Lei, Chon Lok, Michael Clerx, Kylie A. Beattie, et al.. (2019). Rapid Characterization of hERG Channel Kinetics II: Temperature Dependence. Biophysical Journal. 117(12). 2455–2470. 29 indexed citations
13.
Sutanto, Henry, et al.. (2019). Maastricht antiarrhythmic drug evaluator (MANTA): A computational tool for better understanding of antiarrhythmic drugs. Pharmacological Research. 148. 104444–104444. 23 indexed citations
14.
Clerx, Michael, Kylie A. Beattie, David J. Gavaghan, & Gary R. Mirams. (2019). Four Ways to Fit an Ion Channel Model. Biophysical Journal. 117(12). 2420–2437. 40 indexed citations
15.
Lei, Chon Lok, Michael Clerx, David J. Gavaghan, et al.. (2019). Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput System. Biophysical Journal. 117(12). 2438–2454. 34 indexed citations
16.
Clerx, Michael, Jordi Heijman, Pieter Collins, & Paul G.A. Volders. (2018). Predicting changes to INa from missense mutations in human SCN5A. Scientific Reports. 8(1). 12797–12797. 25 indexed citations
17.
Clerx, Michael, et al.. (2018). Reproducible model development in the cardiac electrophysiology Web Lab. Progress in Biophysics and Molecular Biology. 139. 3–14. 16 indexed citations
18.
Lei, Chon Lok, Ken Wang, Michael Clerx, et al.. (2017). Tailoring Mathematical Models to Stem-Cell Derived Cardiomyocyte Lines Can Improve Predictions of Drug-Induced Changes to Their Electrophysiology. Frontiers in Physiology. 8. 986–986. 35 indexed citations
19.
Clerx, Michael, Pieter Collins, Enno de Lange, & Paul G.A. Volders. (2015). Myokit: A simple interface to cardiac cellular electrophysiology. Progress in Biophysics and Molecular Biology. 120(1-3). 100–114. 82 indexed citations
20.
Clerx, Michael, Paul G.A. Volders, & Pieter Collins. (2014). Myokit: A framework for computational cellular electrophysiology. Computing in Cardiology Conference. 41. 229–232. 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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