C.E. Pollard

2.9k citations
33 papers · 1.9k · h-index 21

Impact in

Papers in

C.E. Pollard

33 papers receiving 1.8k citations

Peers

C.E. Pollard
Comparison fields: 5 of 108
  • Physiology 161
  • Cellular and Molecular Neuroscience 593
  • Cardiology and Cardiovascular Medicine 553
  • Cognitive Neuroscience 272
  • Molecular Biology 949
Replace Franz J. Hock with:
Franz J. Hock Germany
I. Atwater United States
Lene Martini United States
Daniel Rohrer United States
Peter Coward United States
Wamberto Antônio Varanda Brazil
Kazuharu Furutani Japan
Nathalie Strutz‐Seebohm Germany
Achla Gupta United States
J. Mark Treherne United Kingdom
C.E. Pollard relative to Franz J. Hock Germany Franz J. Hock's profile →
Citations per field
00.5×2×3.0×
Franz J. Hock · 1×
Citations per year

Countries citing papers authored by C.E. Pollard

Since Specialization
Citations

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

Fields of papers citing papers by C.E. Pollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C.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 C.E. Pollard Line = papers co-authored together C.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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989238
2 1991210
3 1995170
4 1990144
5 2006126
6 2010126
7 1968106
8 2007100
9
Genetic intersexuality in goats.
196981
10 200672
11 196965
12 201163
13 200747
14 200846
15 201244
16 201141
17 197040
18 199138
19 200930
20 200820

About C.E. Pollard

C.E. Pollard is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Plant Science, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (17 papers), Ion channel regulation and function (12 papers), Receptor Mechanisms and Signaling (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Animal Genetics and Reproduction (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Ion Transport and Channel Regulation (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Physiology (161 citations), Cellular and Molecular Neuroscience (593 citations), Cardiology and Cardiovascular Medicine (553 citations), Cognitive Neuroscience (272 citations) and Molecular Biology (949 citations). C.E. Pollard has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Sean Lightowler, Vincenzo Crunelli, B.M. Cattanach, J‐P Valentin, Alison Easter, Najah Abi‐Gerges, Tim Hammond, Jean‐Pierre Valentin, Caryn Lawrence and Nathalie Leresche. Their work appears in journals such as British Journal of Pharmacology, The Journal of Physiology, Genetics Research, Toxicology and Applied Pharmacology and European Heart Journal.

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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