Michael Clerx
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiac Arrhythmias and Treatments
- Atrial Fibrillation Management and Outcomes
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- Probabilistic and Robust Engineering Design
Papers in
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- Ion channel regulation and function 15
- Receptor Mechanisms and Signaling 9
- Gene Regulatory Network Analysis 5
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- Cardiac electrophysiology and arrhythmias 21
- Cardiac pacing and defibrillation studies 2
- Co-authors
- Gary R. Mirams (17 shared papers)Chon Lok Lei (11 shared papers)David J. Gavaghan (13 shared papers)Paul G.A. Volders (6 shared papers)Pieter Collins (4 shared papers)Enno de Lange (1 shared paper)David J. Whittaker (4 shared papers)Kylie A. Beattie (3 shared papers)
- Journals
- Frontiers in Physiology (3 papers)Biophysical Journal (3 papers)Progress in Biophysics and Molecular Biology (2 papers)Advanced Science (1 paper)Pharmacological Research (1 paper)
- Partner nations
- United KingdomNetherlandsSwitzerland
In The Last Decade
Michael Clerx
26 papers receiving 525 citations
Peers
Comparison fields: 5 of 69
- Cardiology and Cardiovascular Medicine 401
- Statistics, Probability and Uncertainty 44
- Cellular and Molecular Neuroscience 99
- Molecular Biology 299
- Electrochemistry 21
Countries citing papers authored by Michael Clerx
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
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-authors
The 25 scholars most cited alongside Michael Clerx, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 87 | |
| 2 | 2020 | 71 | |
| 3 | 2019 | 43 | |
| 4 | 2019 | 40 | |
| 5 | 2020 | 36 | |
| 6 | 2017 | 35 | |
| 7 | 2019 | 34 | |
| 8 | 2019 | 29 | |
| 9 | 2018 | 25 | |
| 10 | 2019 | 24 | |
| 11 | 2020 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2018 | 16 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2015 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 3 |
About Michael Clerx
Michael Clerx is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 28 papers that have together received 529 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (21 papers), Ion channel regulation and function (15 papers), Receptor Mechanisms and Signaling (9 papers), Neuroscience and Neural Engineering (5 papers), Gene Regulatory Network Analysis (5 papers), Neural dynamics and brain function (2 papers), Cardiac pacing and defibrillation studies (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (401 citations), Statistics, Probability and Uncertainty (44 citations), Cellular and Molecular Neuroscience (99 citations), Molecular Biology (299 citations) and Electrochemistry (21 citations). Michael Clerx has collaborated with scholars based in United Kingdom, Netherlands and Switzerland. Frequent 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. Their work appears in journals such as Frontiers in Physiology, Biophysical Journal, Progress in Biophysics and Molecular Biology, Advanced Science and Pharmacological Research.
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.