Karel Van Ammel

1.0k citations
26 papers · 790 indexed · h-index 13

Karel Van Ammel

25 papers receiving 776 citations

Peers

Karel Van Ammel
Comparison fields: 5 of 97
  • Cardiology and Cardiovascular Medicine 593
  • Cellular and Molecular Neuroscience 151
  • Molecular Biology 501
  • Electrochemistry 40
  • Statistics and Probability 30
Replace An N. Hermans with:
An N. Hermans Belgium
Elisa Passini United Kingdom
Yi Cui United Kingdom
David J. Gallacher Belgium
Rob Towart Belgium
Jennifer Pierson United States
John Koerner United States
James Kramer United States
Najah Abi‐Gerges United Kingdom
Chris Pollard United Kingdom
Karel Van Ammel relative to An N. Hermans Belgium An N. Hermans's profile →
Citations per field
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An N. Hermans · 1×
Citations per year

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

The 25 scholars most cited alongside Karel Van Ammel, 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 Karel Van Ammel Line = papers co-authored together Karel Van Ammel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20238
3 20235
4 201843
5 20181
6 201612
7 20161
8 20155
9 201453
10 201413
11 2013230
12 201057
13 200922
14 2008102
15 20087
16 200537
17 200265
18 200252
19 199614
20 199110

About Karel Van Ammel

Karel Van Ammel is a scholar working on Cardiology and Cardiovascular Medicine, Electrochemistry, Cellular and Molecular Neuroscience, Statistics and Probability and Molecular Biology, having authored 26 papers that have together received 790 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (17 papers), Ion channel regulation and function (10 papers), ECG Monitoring and Analysis (4 papers), Neuroscience and Neural Engineering (4 papers), Receptor Mechanisms and Signaling (4 papers), Electrochemical Analysis and Applications (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (593 citations), Cellular and Molecular Neuroscience (151 citations), Molecular Biology (501 citations), Electrochemistry (40 citations) and Statistics and Probability (30 citations). Karel Van Ammel has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Hua Rong Lu, David J. Gallacher, Eddy Vlaminckx, Blanca Rodríguez, Alfonso Bueno‐Orovio, Oliver J. Britton, Rob Towart, David J. Gallacher, Fred De Clerck and Jutta Rohrbacher. Their work appears in journals such as British Journal of Pharmacology, European Journal of Pharmacology, Toxicological Sciences, Frontiers in Pharmacology and Journal of Pharmacokinetics and Pharmacodynamics.

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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