E D Fraser

774 citations
12 papers · 675 · h-index 11

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Cellular Mechanics and Interactions
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • Ion channel regulation and function
    • Muscle Physiology and Disorders

Papers in

    • Protein Kinase Regulation and GTPase Signaling 5
    • Muscle Physiology and Disorders 2
    • Signaling Pathways in Disease 1
    • Ion channel regulation and function 1
    • Lipid Membrane Structure and Behavior 1
    • Cardiomyopathy and Myosin Studies 3

E D Fraser

12 papers receiving 659 citations

Peers

E D Fraser
Comparison fields: 5 of 72
  • Cell Biology 169
  • Molecular Biology 557
  • Immunology and Allergy 43
  • Cellular and Molecular Neuroscience 96
  • Cardiology and Cardiovascular Medicine 69
Replace Fernando Ribeiro-Neto with:
Fernando Ribeiro-Neto United States
Sébastien L’Hoste France
R Klinger Germany
Nathalie Matter France
Noboru Takami Japan
Russell I. Ludowyke Australia
Elisabeth der Terrossian France
B Beiderman United States
José-Marı́a Trifaró Canada
Angela McCahill United Kingdom
E D Fraser relative to Fernando Ribeiro-Neto United States Fernando Ribeiro-Neto's profile →
Citations per field
00.5×1.5×
Fernando Ribeiro-Neto · 1×
Citations per year

Countries citing papers authored by E D Fraser

Since Specialization
Citations

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

Fields of papers citing papers by E D Fraser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1986180
2 199093
3 199382
4 198768
5 198763
6 199646
7 199133
8 199530
9 198729
10 199126
11 199516
12 19899

About E D Fraser

E D Fraser is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Cellular and Molecular Neuroscience and Pharmacology, having authored 12 papers that have together received 675 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cardiomyopathy and Myosin Studies (3 papers), Neurobiology and Insect Physiology Research (2 papers), Muscle Physiology and Disorders (2 papers), Signaling Pathways in Disease (1 paper), Connective tissue disorders research (1 paper), Ion channel regulation and function (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cell Biology (169 citations), Molecular Biology (557 citations), Immunology and Allergy (43 citations), Cellular and Molecular Neuroscience (96 citations) and Cardiology and Cardiovascular Medicine (69 citations). E D Fraser has collaborated with scholars based in Canada and United States. Frequent co-authors include John K. Northup, Timothy Evans, M L Brown, Michael P. Walsh, Michael P. Walsh, Bruce G. Allen, S.J. Winder, Amani A. Fawzi, Gary J. Kargacin and Hyun Mi Kang. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Biochemical Journal, Molecular Pharmacology and Archives of Biochemistry and Biophysics.

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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