E D Fraser

774 total citations
12 papers, 675 citations indexed

About

E D Fraser is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, E D Fraser has authored 12 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Genetics. Recurrent topics in E D Fraser's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cardiomyopathy and Myosin Studies (3 papers) and Muscle Physiology and Disorders (2 papers). E D Fraser is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Cardiomyopathy and Myosin Studies (3 papers) and Muscle Physiology and Disorders (2 papers). E D Fraser collaborates with scholars based in Canada and United States. E D Fraser's co-authors include John K. Northup, Timothy Evans, M L Brown, Michael P. Walsh, Michael P. Walsh, S.J. Winder, Bruce G. Allen, Amani A. Fawzi, Hyun Mi Kang and Gary J. Kargacin and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical Journal.

In The Last Decade

E D Fraser

12 papers receiving 659 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E D Fraser Canada 11 557 169 96 69 66 12 675
Nathalie Matter France 9 921 1.7× 174 1.0× 103 1.1× 50 0.7× 43 0.7× 11 1.0k
José-Marı́a Trifaró Canada 13 329 0.6× 247 1.5× 93 1.0× 36 0.5× 53 0.8× 17 502
E.S. Payne United States 9 582 1.0× 119 0.7× 191 2.0× 46 0.7× 56 0.8× 12 761
R Klinger Germany 13 433 0.8× 139 0.8× 63 0.7× 76 1.1× 76 1.2× 32 565
Fernando Ribeiro-Neto United States 15 825 1.5× 131 0.8× 139 1.4× 47 0.7× 63 1.0× 18 1.0k
B Beiderman United States 7 763 1.4× 214 1.3× 165 1.7× 24 0.3× 37 0.6× 9 863
Avirup Bose United States 13 725 1.3× 388 2.3× 60 0.6× 112 1.6× 147 2.2× 16 930
Allison Stewart United Kingdom 9 514 0.9× 171 1.0× 59 0.6× 21 0.3× 114 1.7× 12 746
Thierry Métayé France 13 351 0.6× 80 0.5× 118 1.2× 22 0.3× 54 0.8× 22 616
George McConnachie United Kingdom 8 652 1.2× 109 0.6× 48 0.5× 126 1.8× 41 0.6× 8 744

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-authorship network of co-authors of E D Fraser

This figure shows the co-authorship network connecting the top 25 collaborators of E D Fraser. A scholar is included among the top collaborators of E D Fraser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E D Fraser. E D Fraser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Jin, Jian‐Ping, et al.. (1996). Structure-Function Relations of Smooth Muscle Calponin. Journal of Biological Chemistry. 271(15). 8605–8611. 46 indexed citations
2.
Fraser, E D & Michael Walsh. (1995). Dephosphorylation of Calponin by Type 2B Protein Phosphatase. Biochemistry. 34(28). 9151–9158. 16 indexed citations
4.
Winder, S.J., Bruce G. Allen, E D Fraser, et al.. (1993). Calponin phosphorylation in vitro and in intact muscle. Biochemical Journal. 296(3). 827–836. 82 indexed citations
5.
Pobiner, Bonnie, et al.. (1991). Inhibitory GTP-binding regulatory protein Gi3 can couple angiotensin II receptors to inhibition of adenylyl cyclase in hepatocytes.. Molecular Pharmacology. 40(2). 156–167. 33 indexed citations
6.
Fraser, E D & Michael P. Walsh. (1991). The major endogenous bovine brain protein kinase C inhibitor is a heat‐labile protein. FEBS Letters. 294(3). 285–289. 26 indexed citations
7.
Pearson, J., Daryll B. DeWald, W. Rodney Mathews, et al.. (1990). Amino acid sequence and characterization of a protein inhibitor of protein kinase C.. Journal of Biological Chemistry. 265(8). 4583–4591. 93 indexed citations
8.
Fraser, E D, et al.. (1989). Protein kinase C from chicken gizzard: characterization and detection of an inhibitor and endogenous substrates. Biochemistry and Cell Biology. 67(6). 260–270. 9 indexed citations
10.
Evans, Timothy, Amani A. Fawzi, E D Fraser, M L Brown, & John K. Northup. (1987). Purification of a beta 35 form of the beta gamma complex common to G-proteins from human placental membranes.. Journal of Biological Chemistry. 262(1). 176–181. 68 indexed citations
11.
Waldo, Gary L., Timothy Evans, E D Fraser, et al.. (1987). Identification and purification from bovine brain of a guanine-nucleotide-binding protein distinct from Gs, Gi and Go. Biochemical Journal. 246(2). 431–439. 63 indexed citations
12.
Evans, Timothy, M L Brown, E D Fraser, & John K. Northup. (1986). Purification of the major GTP-binding proteins from human placental membranes.. Journal of Biological Chemistry. 261(15). 7052–7059. 180 indexed citations

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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