Chris E. Pollard

21 papers receiving 675 citations

Peers

Chris E. Pollard
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 525
  • Small Animals 57
  • Molecular Biology 329
  • Cellular and Molecular Neuroscience 80
  • Computational Theory and Mathematics 58
Replace Jean‐Michel Guillon with:
Jean‐Michel Guillon France
Matthew H. Bridgland-Taylor United Kingdom
Brian M. Roche United States
Tetsuya Kitayama Japan
Xiaomei Han United States
Aziza El Harchi United Kingdom
Katayoun Derakhchan United States
Tengxian Liu United States
Jet D.M. Beekman Netherlands
Chris E. Pollard relative to Jean‐Michel Guillon France Jean‐Michel Guillon's profile →
Citations per field
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Jean‐Michel Guillon · 1×
Citations per year

Countries citing papers authored by Chris E. Pollard

Since Specialization
Citations

This map shows the geographic impact of Chris E. 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 E. 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 E. Pollard more than expected).

Fields of papers citing papers by Chris E. Pollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chris E. 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 E. Pollard Line = papers co-authored together Chris E. 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 2004109
2 2005106
3 200978
4 200967
5 200463
6 200941
7 200240
8 201338
9 200436
10 200529
11 201027
12 201026
13 200923
14 200815
15 201413
16 20104
17 20214
18 20083
19 20162
20 20111

About Chris E. Pollard

Chris E. Pollard is a scholar working on Cardiology and Cardiovascular Medicine, Small Animals, Pediatrics, Perinatology and Child Health, Molecular Biology and Geriatrics and Gerontology, having authored 21 papers that have together received 726 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), Poisoning and overdose treatments (1 paper), Neuroscience and Neural Engineering (1 paper) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (525 citations), Small Animals (57 citations), Molecular Biology (329 citations), Cellular and Molecular Neuroscience (80 citations) and Computational Theory and Mathematics (58 citations). Chris E. Pollard has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Jean‐Pierre Valentin, Tim G. Hammond, Najah Abi‐Gerges, Caryn Lawrence, Ian D. Wakefield, William S. Redfern, Lorna C. Ewart, Jean‐Pierre Valentin, Ben G. Small and Silvana Lindgren. Their work appears in journals such as British Journal of Pharmacology, Journal of Pharmacological and Toxicological Methods, Journal of Pharmacology and Experimental Therapeutics, Journal of Cardiovascular Electrophysiology and Pharmacology & Therapeutics.

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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