Karren Hyde

510 total citations
11 papers, 349 citations indexed

About

Karren Hyde is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Karren Hyde has authored 11 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Karren Hyde's work include Receptor Mechanisms and Signaling (8 papers), Cellular transport and secretion (6 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Karren Hyde is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Cellular transport and secretion (6 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Karren Hyde collaborates with scholars based in United States, Germany and Greece. Karren Hyde's co-authors include Heidi E. Hamm, Zafiroula Georgoussi, Simon Alford, Zack Zurawski, Hui‐Chen Hsu, Huang‐Ge Zhang, John D. Mountz, Grier P. Page, David B. Allison and Shaohua Yu and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Scientific Reports.

In The Last Decade

Karren Hyde

11 papers receiving 348 citations

Peers

Countries citing papers authored by Karren Hyde

Since Specialization

Citations

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

Fields of papers citing papers by Karren Hyde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karren Hyde

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Specificities of Gβγ subunits for the SNARE complex before and after stimulation of α _2a -adrenergic receptors 2021 ·Science Signaling ·(unknown), W. Hayes McDonald, (unknown), Ali İ. Kaya, Karren Hyde, Kevin Erreger, Ralf Gilsbach, Lutz Hein, Heidi E. Hamm	3
2	The in vivo specificity of synaptic Gβ and Gγ subunits to the α2a adrenergic receptor at CNS synapses 2019 ·Scientific Reports ·(unknown), (unknown), W. Hayes McDonald, Ralf Gilsbach, Yunjia Chen, Karren Hyde, Qin Wang, Lutz Hein, Heidi E. Hamm	13
3	Disabling the Gβγ-SNARE interaction disrupts GPCR-mediated presynaptic inhibition, leading to physiological and behavioral phenotypes 2019 ·Science Signaling ·Zack Zurawski, (unknown), Lillian J. Brady, Brian Page, Emily Church, (unknown), Michael R. Dohn, (unknown), Karren Hyde, Douglas P. Mortlock, Carrie K. Jones, Danny G. Winder, Simon Alford, Heidi E. Hamm	26
4	Muscle-specific stress fibers give rise to sarcomeres in cardiomyocytes 2018 ·eLife ·Aidan M. Fenix, Abigail C. Neininger, Nilay Taneja, Karren Hyde, (unknown), (unknown), Baohong Liu, (unknown), (unknown), Jason R. Becker, Scott W. Crawley, David M. Bader, Matthew J. Tyska, Qi Liu, Jennifer H. Gutzman, Dylan T. Burnette	56
5	Gβγ directly modulates vesicle fusion by competing with synaptotagmin for binding to neuronal SNARE proteins embedded in membranes 2017 ·Journal of Biological Chemistry ·Zack Zurawski, Brian Page, Michael C. Chicka, (unknown), Christopher A. Wells, Anita M. Preininger, Karren Hyde, James A. Gilbert, (unknown), Kevin Currie, Edwin R. Chapman, Simon Alford, Heidi E. Hamm	23
6	Quantitative Multiple-Reaction Monitoring Proteomic Analysis of Gβ and Gγ Subunits in C57Bl6/J Brain Synaptosomes 2017 ·Biochemistry ·(unknown), W. Hayes McDonald, Karren Hyde, (unknown), J.J.G. Tesmer, Heidi E. Hamm	11
7	Gβγ Binds to the Extreme C Terminus of SNAP25 to Mediate the Action of Gi/o-Coupled G Protein–Coupled Receptors 2015 ·Molecular Pharmacology ·Zack Zurawski, (unknown), Karren Hyde, Simon Alford, Heidi E. Hamm	27
8	Differential Localization of G Protein βγ Subunits 2014 ·Biochemistry ·(unknown), Kristie L. Rose, David B. Friedman, Anthony J. Baucum, Karren Hyde, Kevin L. Schey, Heidi E. Hamm	14
9	Gβγ Inhibits Exocytosis via Interaction with Critical Residues on Soluble N-Ethylmaleimide-Sensitive Factor Attachment Protein-25 2012 ·Molecular Pharmacology ·Christopher A. Wells, Zack Zurawski, (unknown), (unknown), Karren Hyde, (unknown), Simon Alford, Heidi E. Hamm	27
10	Selective interactions between G protein subunits and RGS4 with the C-terminal domains of the μ- and δ-opioid receptors regulate opioid receptor signaling 2005 ·Cellular Signalling ·Zafiroula Georgoussi, (unknown), (unknown), (unknown), Karren Hyde, Heidi E. Hamm	86
11	Novel tumor necrosis factor α–regulated genes in rheumatoid arthritis 2004 ·Arthritis & Rheumatism ·Huang‐Ge Zhang, Karren Hyde, Grier P. Page, (unknown), Juling Zhou, Shaohua Yu, David B. Allison, Hui‐Chen Hsu, John D. Mountz	63

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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