Chris Pollard

21 papers receiving 619 citations

Peers

Chris Pollard
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 464
  • Small Animals 37
  • Molecular Biology 289
  • Cellular and Molecular Neuroscience 75
  • Computational Theory and Mathematics 47
Replace Bérengère Dumotier with:
Bérengère Dumotier Switzerland
J‐P Valentin United Kingdom
Brian Roche United States
Tetsuya Kitayama Japan
Pierre Lainée France
Matthew Bridgland‐Taylor United Kingdom
Aziza El Harchi United Kingdom
Tengxian Liu United States
Peter Milberg Germany
Katayoun Derakhchan United States
Chris Pollard relative to Bérengère Dumotier Switzerland Bérengère Dumotier's profile →
Citations per field
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Bérengère Dumotier · 1×
Citations per year

Countries citing papers authored by Chris Pollard

Since Specialization
Citations

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

Fields of papers citing papers by Chris Pollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004103
2 200588
3 200965
4 200963
5 200458
6 200939
7 201335
8 200234
9 200428
10 200525
11 201025
12 201022
13 200921
14 201413
15 200812
16 20104
17 20082
18 20211
19 20161
20 20111

About Chris Pollard

Chris Pollard is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Small Animals, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 641 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Ion channel regulation and function (7 papers), Cardiac Arrhythmias and Treatments (5 papers), Animal testing and alternatives (4 papers), Pharmaceutical studies and practices (3 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Vitamin K Research Studies (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (464 citations), Small Animals (37 citations), Molecular Biology (289 citations), Cellular and Molecular Neuroscience (75 citations) and Computational Theory and Mathematics (47 citations). Chris Pollard has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Jean‐Pierre Valentin, Tim Hammond, Najah Abi‐Gerges, Caryn Lawrence, Ian Wakefield, Lorna Ewart, Jean‐Pierre Valentin, Ben G. Small, Silvana Lindgren and Harry J.G.M. Crijns. Their work appears in journals such as British Journal of Pharmacology, Journal of Pharmacological and Toxicological Methods, Journal of Pharmacology and Experimental Therapeutics, Expert Opinion on Drug Safety and Journal of Cardiovascular Electrophysiology.

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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