E. Cooper

2.6k citations
60 papers · 2.1k indexed · h-index 25

Impact in

Papers in

E. Cooper

58 papers receiving 2.0k citations

Peers

E. Cooper
Comparison fields: 5 of 120
  • Cellular and Molecular Neuroscience 969
  • Physiology 183
  • Developmental Neuroscience 131
  • Endocrine and Autonomic Systems 187
  • Molecular Biology 1.2k
Replace T Furukawa with:
T Furukawa Japan
Philippe Leroux France
Masumi Hirabayashi Japan
Joan C. King United States
Mamoru Kumada Japan
Joanna M. Hill United States
R. Gábriel Hungary
M. Costa Australia
Geda Unabia United States
Laura Lossi Italy
E. Cooper relative to T Furukawa Japan T Furukawa's profile →
Citations per field
00.5×1.6×
T Furukawa · 1×
Citations per year

Countries citing papers authored by E. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by E. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996183
2 1976168
3 1992156
4 1973117
5 1988112
6 1996112
7 199488
8 198180
9 199579
10 199172
11 199563
12 199355
13 199249
14 198947
15 198547
16 198442
17 198240
18 197739
19 197737
20 200336

About E. Cooper

E. Cooper is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (16 papers), Nicotinic Acetylcholine Receptors Study (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Neuroscience and Neural Engineering (8 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Receptor Mechanisms and Signaling (5 papers), Anesthesia and Sedative Agents (5 papers) and Airway Management and Intubation Techniques (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (969 citations), Physiology (183 citations), Developmental Neuroscience (131 citations), Endocrine and Autonomic Systems (187 citations) and Molecular Biology (1.2k citations). E. Cooper has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include J. Diamond, Allan Mandelzys, Shona M. McFarlane, Paul De Koninck, Christopher J. Turner, A. Pejmun Haghighi, Alvin Shrier, Philippe Séguéla, L Macintyre and Steve Heinemann. Their work appears in journals such as The Journal of Physiology, Journal of Neuroscience, Anaesthesia, ANZ Journal of Surgery and Journal of Neurophysiology.

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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