Karel Van Ammel

1.0k total citations
26 papers, 790 citations indexed

About

Karel Van Ammel is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Karel Van Ammel has authored 26 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 14 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Karel Van Ammel's work include Cardiac electrophysiology and arrhythmias (17 papers), Ion channel regulation and function (10 papers) and ECG Monitoring and Analysis (4 papers). Karel Van Ammel is often cited by papers focused on Cardiac electrophysiology and arrhythmias (17 papers), Ion channel regulation and function (10 papers) and ECG Monitoring and Analysis (4 papers). Karel Van Ammel collaborates with scholars based in Belgium, United States and Netherlands. Karel Van Ammel's co-authors include Hua Rong Lu, David J. Gallacher, Eddy Vlaminckx, Alfonso Bueno‐Orovio, Rob Towart, Blanca Rodríguez, Oliver J. Britton, David J. Gallacher, Fred De Clerck and Jutta Rohrbacher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation Research and British Journal of Pharmacology.

In The Last Decade

Karel Van Ammel

25 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karel Van Ammel Belgium 13 593 501 151 51 42 26 790
An N. Hermans Belgium 9 502 0.8× 446 0.9× 126 0.8× 48 0.9× 49 1.2× 12 696
Yi Cui United Kingdom 15 636 1.1× 640 1.3× 238 1.6× 92 1.8× 70 1.7× 23 962
Chris Pollard United Kingdom 14 493 0.8× 389 0.8× 99 0.7× 32 0.6× 50 1.2× 21 638
Elisa Passini United Kingdom 16 886 1.5× 599 1.2× 269 1.8× 85 1.7× 75 1.8× 45 1.1k
James Kramer United States 7 549 0.9× 491 1.0× 210 1.4× 49 1.0× 63 1.5× 13 741
Jennifer Pierson United States 14 476 0.8× 382 0.8× 251 1.7× 122 2.4× 71 1.7× 29 782
Bérengère Dumotier Switzerland 15 388 0.7× 398 0.8× 98 0.6× 47 0.9× 78 1.9× 27 694
Kylie A. Beattie United Kingdom 10 399 0.7× 295 0.6× 83 0.5× 29 0.6× 58 1.4× 21 502
John Koerner United States 17 505 0.9× 347 0.7× 96 0.6× 48 0.9× 81 1.9× 33 753
David J. Gallacher Belgium 14 375 0.6× 348 0.7× 186 1.2× 117 2.3× 52 1.2× 30 821

Countries citing papers authored by Karel Van Ammel

Since Specialization
Citations

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

Fields of papers citing papers by Karel Van Ammel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karel Van Ammel. 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 Karel Van Ammel. The network helps show where Karel Van Ammel may publish in the future.

Co-authorship network of co-authors of Karel Van Ammel

This figure shows the co-authorship network connecting the top 25 collaborators of Karel Van Ammel. A scholar is included among the top collaborators of Karel Van Ammel 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 Karel Van Ammel. Karel Van Ammel 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.
Kreir, Mohamed, Fetene Tekle, Constantin d’Ydewalle, et al.. (2024). Development of a new hazard scoring system in primary neuronal cell cultures for drug-induced acute neuronal toxicity identification in early drug discovery. Frontiers in Pharmacology. 15. 1308547–1308547. 2 indexed citations
2.
Ammel, Karel Van, Margino Steemans, Mohamed Kreir, et al.. (2023). Evaluation of chronic drug-induced electrophysiological and cytotoxic effects using human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). Frontiers in Pharmacology. 14. 1229960–1229960. 8 indexed citations
3.
4.
Kopljar, Ivan, Hua Rong Lu, Karel Van Ammel, et al.. (2018). Development of a Human iPSC Cardiomyocyte-Based Scoring System for Cardiac Hazard Identification in Early Drug Safety De-risking. Stem Cell Reports. 11(6). 1365–1377. 43 indexed citations
5.
Lu, Hua Rong, et al.. (2018). Is iCEB a universal proarrhythmic biomarker covering TdP to non-TdP arrhythmias? A comparison against existing biomarkers. Journal of Pharmacological and Toxicological Methods. 93. 120–120. 1 indexed citations
6.
Gotta, Verena, Frank Cools, Karel Van Ammel, et al.. (2016). Application of a systems pharmacology model for translational prediction of hERG ‐mediated QT c prolongation. Pharmacology Research & Perspectives. 4(6). e00270–e00270. 12 indexed citations
7.
Ammel, Karel Van, Ard Teisman, David J. Gallacher, et al.. (2016). PK/PD Modelling of the QT Interval: a Step Towards Defining the Translational Relationship Between In Vitro, Awake Beagle Dogs, and Humans. The AAPS Journal. 18(4). 1000–1012. 1 indexed citations
8.
Ammel, Karel Van, Ard Teisman, Koen Boussery, et al.. (2015). Modelling of drug-induced QT-interval prolongation: estimation approaches and translational opportunities. Journal of Pharmacokinetics and Pharmacodynamics. 42(6). 659–679. 5 indexed citations
9.
Ewart, Lorna, Mike Aylott, Mark Deurinck, et al.. (2014). The Concordance between Nonclinical and Phase I Clinical Cardiovascular Assessment from a Cross-Company Data Sharing Initiative. Toxicological Sciences. 142(2). 427–435. 53 indexed citations
10.
Gotta, Verena, Frank Cools, Karel Van Ammel, et al.. (2014). Sensitivity of pharmacokinetic–pharmacodynamic analysis for detecting small magnitudes of QTc prolongation in preclinical safety testing. Journal of Pharmacological and Toxicological Methods. 72. 1–10. 13 indexed citations
11.
Britton, Oliver J., Alfonso Bueno‐Orovio, Karel Van Ammel, et al.. (2013). Experimentally calibrated population of models predicts and explains intersubject variability in cardiac cellular electrophysiology. Proceedings of the National Academy of Sciences. 110(23). E2098–105. 230 indexed citations
12.
Lu, Hua Rong, Jutta Rohrbacher, Eddy Vlaminckx, et al.. (2010). Predicting drug‐induced slowing of conduction and pro‐arrhythmia: identifying the ‘bad’ sodium current blockers. British Journal of Pharmacology. 160(1). 60–76. 57 indexed citations
13.
Deuren, Bruno Van, Karel Van Ammel, Yves Somers, et al.. (2009). The fentanyl/etomidate-anaesthetised beagle (FEAB) dog: A versatile in vivo model in Cardiovascular Safety Research. Journal of Pharmacological and Toxicological Methods. 60(1). 11–23. 22 indexed citations
14.
Maringwa, John, Helena Geys, Ziv Shkedy, et al.. (2008). Analysis of cross‐over designs with serial correlation within periods using semi‐parametric mixed models. Statistics in Medicine. 27(28). 6009–6033. 7 indexed citations
15.
Lu, Hua Rong, Eddy Vlaminckx, An N. Hermans, et al.. (2008). Predicting drug‐induced changes in QT interval and arrhythmias: QT‐shortening drugs point to gaps in the ICHS7B Guidelines. British Journal of Pharmacology. 154(7). 1427–1438. 102 indexed citations
16.
Water, A. Van de, W. Loots, Bruno Van Deuren, et al.. (2005). A new method to calculate the beat-to-beat instability of QT duration in drug-induced long QT in anesthetized dogs. Journal of Pharmacological and Toxicological Methods. 52(1). 168–177. 37 indexed citations
17.
Clerck, Fred De, A. Van de Water, Hua Rong Lu, et al.. (2002). In vivo measurement of QT prolongation, dispersion and arrhythmogenesis: application to the preclinical cardiovascular safety pharmacology of a new chemical entity. Fundamental and Clinical Pharmacology. 16(2). 125–140. 65 indexed citations
18.
Lu, Hua Rong, Eddy Vlaminckx, Karel Van Ammel, & Fred De Clerck. (2002). Drug-induced long QT in isolated rabbit Purkinje fibers: importance of action potential duration, triangulation and early afterdepolarizations. European Journal of Pharmacology. 452(2). 183–192. 52 indexed citations
19.
Water, A. Van de, et al.. (1996). Selective vasoconstriction by alniditan in the carotid vascular bed of anaesthetized dogs. European Journal of Pharmacology. 299(1-3). 127–137. 14 indexed citations
20.

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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