Christopher E. Pollard

13 papers receiving 476 citations

Peers

Christopher E. Pollard
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 170
  • Cellular and Molecular Neuroscience 131
  • Small Animals 39
  • Computational Theory and Mathematics 64
  • Molecular Biology 228
Replace Jean‐Michel Guillon with:
Jean‐Michel Guillon France
J‐P Valentin United Kingdom
Mark Holbrook United Kingdom
Chris E. Pollard United Kingdom
Khuram W. Chaudhary United States
An N. Hermans Belgium
Karel Van Ammel Belgium
Jennifer Beck Pierson United States
James Kramer United States
Bronagh M. Heath United Kingdom
Christopher 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 Christopher E. Pollard

Since Specialization
Citations

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

Fields of papers citing papers by Christopher E. Pollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201484
2 201370
3 201664
4 200257
5 201750
6 201539
7 199235
8 201631
9 201326
10 201725
11 199317
12 19906
13 20222

About Christopher E. Pollard

Christopher E. Pollard is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Statistics and Probability, Molecular Biology and Small Animals, having authored 13 papers that have together received 506 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (7 papers), Ion channel regulation and function (5 papers), Neuroscience and Neural Engineering (4 papers), Receptor Mechanisms and Signaling (3 papers), Statistical Methods in Clinical Trials (2 papers), 3D Printing in Biomedical Research (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (170 citations), Cellular and Molecular Neuroscience (131 citations), Small Animals (39 citations), Computational Theory and Mathematics (64 citations) and Molecular Biology (228 citations). Christopher E. Pollard has collaborated with scholars based in United Kingdom, Poland and United States. Frequent co-authors include Amy Pointon, Najah Abi‐Gerges, Jean‐Pierre Valentin, Helen M. Prior, Helen Garside, Stanley E. Lazic, Susan M. Roberts, Stefan J. Platz, Joanne Bowes and Ruth Angela Roberts. Their work appears in journals such as Toxicological Sciences, Brain Research, Drug Discovery Today, European Journal of Pharmacology and Journal of Molecular and Cellular Cardiology.

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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