Michael Clerx

982 citations
28 papers · 547 · h-index 13

Impact in

Papers in

Michael Clerx

26 papers receiving 543 citations

Peers

Michael Clerx
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 415
  • Statistics, Probability and Uncertainty 44
  • Cellular and Molecular Neuroscience 99
  • Molecular Biology 310
  • Electrochemistry 21
Replace Oliver J. Britton with:
Oliver J. Britton United Kingdom
Kylie A. Beattie United Kingdom
Rob Towart Belgium
Ross H. Johnstone United Kingdom
Trine Krogh‐Madsen United States
Vladimir E. Bondarenko United States
Lucía Romero Spain
Kirill Skouibine United States
Francis A. Ortega United States
Ali Baher United States
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Citations per field
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Oliver J. Britton · 1×
Citations per year

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-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.

Border = papers with Michael Clerx Line = papers co-authored together Michael Clerx links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201591
2 202073
3 201943
4 201942
5 202036
6 201736
7 201935
8 201930
9 201926
10 201825
11 202022
12 201620
13 201816
14 20239
15 20237
16 20227
17 20156
18 20215
19 20225
20 20233

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 547 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 (415 citations), Statistics, Probability and Uncertainty (44 citations), Cellular and Molecular Neuroscience (99 citations), Molecular Biology (310 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, David J. Gavaghan, Chon Lok Lei, Paul G.A. Volders, Pieter Collins, Enno de Lange, David J. Whittaker, Kylie A. Beattie, David J. Christini and Liudmila Polonchuk. Their work appears in journals such as Biophysical Journal, Frontiers in Physiology, Progress in Biophysics and Molecular Biology, Frontiers in Pharmacology and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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