Margaret G. Eason

1.2k total citations
16 papers, 1.1k citations indexed

About

Margaret G. Eason is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Margaret G. Eason has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 5 papers in Physiology. Recurrent topics in Margaret G. Eason's work include Receptor Mechanisms and Signaling (15 papers), Neuropeptides and Animal Physiology (9 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Margaret G. Eason is often cited by papers focused on Receptor Mechanisms and Signaling (15 papers), Neuropeptides and Animal Physiology (9 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Margaret G. Eason collaborates with scholars based in United States. Margaret G. Eason's co-authors include Stephen B. Liggett, Brian D. Holt, John R. Raymond, Hitoshi Kurose, Cheryl T. Theiss, Elizabeth A. Jewell-Motz, Elizabeth Donnelly, Mei Liang, Mark A. Williams and Gerald W. Dorn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Margaret G. Eason

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margaret G. Eason United States 14 968 699 157 87 52 16 1.1k
Antonio DeBlasi Italy 12 1.2k 1.2× 691 1.0× 168 1.1× 94 1.1× 82 1.6× 14 1.5k
Subramaniam Apparsundaram United States 8 672 0.7× 561 0.8× 95 0.6× 44 0.5× 28 0.5× 9 976
H Bonin Canada 7 555 0.6× 321 0.5× 145 0.9× 82 0.9× 28 0.5× 8 680
Hongying Zhong United States 12 576 0.6× 302 0.4× 114 0.7× 41 0.5× 61 1.2× 13 756
Sophie De La Baume France 14 762 0.8× 1.0k 1.5× 235 1.5× 33 0.4× 90 1.7× 17 1.2k
Wesley Lebel United States 8 627 0.6× 672 1.0× 299 1.9× 46 0.5× 98 1.9× 12 992
Horace H. Loh United States 25 868 0.9× 796 1.1× 273 1.7× 17 0.2× 32 0.6× 73 1.4k
C.J. Daly United Kingdom 17 483 0.5× 242 0.3× 256 1.6× 46 0.5× 56 1.1× 40 760
Nathalie Éthier Canada 16 1.0k 1.1× 698 1.0× 105 0.7× 27 0.3× 22 0.4× 22 1.3k
Karin Magendzo Chile 9 1.1k 1.1× 1.1k 1.6× 236 1.5× 17 0.2× 29 0.6× 10 1.3k

Countries citing papers authored by Margaret G. Eason

Since Specialization
Citations

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

Fields of papers citing papers by Margaret G. Eason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret G. Eason. 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 Margaret G. Eason. The network helps show where Margaret G. Eason may publish in the future.

Co-authorship network of co-authors of Margaret G. Eason

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret G. Eason. A scholar is included among the top collaborators of Margaret G. Eason 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 Margaret G. Eason. Margaret G. Eason is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Liang, Mei, Margaret G. Eason, Cheryl T. Theiss, & Stephen B. Liggett. (2002). Phosphorylation of Ser360 in the third intracellular loop of the α2A-adrenoceptor during protein kinase C-mediated desensitization. European Journal of Pharmacology. 437(1-2). 41–46. 11 indexed citations
2.
McGraw, Dennis W., Elizabeth Donnelly, Margaret G. Eason, Stuart A. Green, & Stephen B. Liggett. (1998). Role of βARK in Long-Term Agonist-Promoted Desensitisation of the β2-Adrenergic Receptor. Cellular Signalling. 10(3). 197–204. 19 indexed citations
3.
Liang, Mei, Margaret G. Eason, Elizabeth A. Jewell-Motz, et al.. (1998). Phosphorylation and Functional Desensitization of the α2A-Adrenergic Receptor by Protein Kinase C. Molecular Pharmacology. 54(1). 44–49. 44 indexed citations
4.
Jewell-Motz, Elizabeth A., Elizabeth Donnelly, Margaret G. Eason, & Stephen B. Liggett. (1998). Agonist-Mediated Downregulation of Gαi via the α2-Adrenergic Receptor Is Targeted by Receptor-Gi Interaction and Is Independent of Receptor Signaling and Regulation. Biochemistry. 37(45). 15720–15725. 28 indexed citations
5.
Jewell-Motz, Elizabeth A., Elizabeth Donnelly, Margaret G. Eason, & Stephen B. Liggett. (1997). Role of the Amino Terminus of the Third Intracellular Loop in Agonist-Promoted Downregulation of the α2A-Adrenergic Receptor. Biochemistry. 36(29). 8858–8863. 20 indexed citations
6.
Eason, Margaret G. & Stephen B. Liggett. (1996). Chimeric Mutagenesis of Putative G-protein Coupling Domains of the α2A-Adrenergic Receptor. Journal of Biological Chemistry. 271(22). 12826–12832. 83 indexed citations
7.
Eason, Margaret G., et al.. (1996). μ-Opioid Agonists Stimulate Growth Hormone Secretion in Immature Rats. Neuroendocrinology. 63(6). 489–497. 6 indexed citations
8.
Eason, Margaret G. & Stephen B. Liggett. (1995). Identification of a Gs Coupling Domain in the Amino Terminus of the Third Intracellular Loop of the α2A-Adrenergic Receptor. Journal of Biological Chemistry. 270(42). 24753–24760. 96 indexed citations
9.
10.
Eason, Margaret G. & Stephen B. Liggett. (1995). Identification of a G s Coupling Domain in the Amino Terminus of the Third Intracellular Loop of the a 2A -Adrenergic Receptor. 14 indexed citations
11.
Eason, Margaret G., et al.. (1994). The palmitoylated cysteine of the cytoplasmic tail of alpha 2A-adrenergic receptors confers subtype-specific agonist-promoted downregulation.. Proceedings of the National Academy of Sciences. 91(23). 11178–11182. 81 indexed citations
12.
Eason, Margaret G., et al.. (1994). Contribution of ligand structure to activation of alpha 2-adrenergic receptor subtype coupling to Gs.. Molecular Pharmacology. 45(4). 696–702. 124 indexed citations
13.
Eason, Margaret G. & Stephen B. Liggett. (1993). Functional α2-Adrenergic Receptor-Gs Coupling Undergoes Agonist-Promoted Desensitization in a Subtype-Selective Manner. Biochemical and Biophysical Research Communications. 193(1). 318–323. 13 indexed citations
14.
Eason, Margaret G. & Stephen B. Liggett. (1993). Human alpha 2-adrenergic receptor subtype distribution: widespread and subtype-selective expression of alpha 2C10, alpha 2C4, and alpha 2C2 mRNA in multiple tissues.. Molecular Pharmacology. 44(1). 70–75. 50 indexed citations
15.
Eason, Margaret G., Hitoshi Kurose, Brian D. Holt, John R. Raymond, & Stephen B. Liggett. (1992). Simultaneous coupling of alpha 2-adrenergic receptors to two G-proteins with opposing effects. Subtype-selective coupling of alpha 2C10, alpha 2C4, and alpha 2C2 adrenergic receptors to Gi and Gs.. Journal of Biological Chemistry. 267(22). 15795–15801. 303 indexed citations
16.
Eason, Margaret G. & Stephen B. Liggett. (1992). Subtype-selective desensitization of alpha 2-adrenergic receptors. Different mechanisms control short and long term agonist-promoted desensitization of alpha 2C10, alpha 2C4, and alpha 2C2.. Journal of Biological Chemistry. 267(35). 25473–25479. 116 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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