Michelle E. King

1.3k total citations
20 papers, 1.1k citations indexed

About

Michelle E. King is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Michelle E. King has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Physiology. Recurrent topics in Michelle E. King's work include Alzheimer's disease research and treatments (7 papers), Prion Diseases and Protein Misfolding (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Michelle E. King is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Prion Diseases and Protein Misfolding (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Michelle E. King collaborates with scholars based in United States, France and Australia. Michelle E. King's co-authors include Lester I. Binder, Jeff Kuret, T. Chris Gamblin, George S. Bloom, Robert W. Berry, Peter W. Baas, Alev Erişir, Charles Glabe, Ulrike Mende and Hana N. Dawson and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and The Journal of Cell Biology.

In The Last Decade

Michelle E. King

20 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
Michelle E. King United States 13 640 567 211 179 140 20 1.1k
Ramón Martínez‐Mármol Spain 20 283 0.4× 636 1.1× 315 1.5× 184 1.0× 80 0.6× 39 1.1k
Jian-Sheng Gong Japan 12 493 0.8× 359 0.6× 121 0.6× 82 0.5× 120 0.9× 18 969
Eun Sun Jung South Korea 17 413 0.6× 543 1.0× 193 0.9× 89 0.5× 82 0.6× 27 1.0k
Jung A. Woo United States 20 389 0.6× 612 1.1× 255 1.2× 161 0.9× 83 0.6× 45 1.1k
Sue‐Ann Mok Canada 14 435 0.7× 584 1.0× 261 1.2× 215 1.2× 70 0.5× 26 1.1k
Patrick L. McGeer Canada 12 511 0.8× 392 0.7× 163 0.8× 78 0.4× 110 0.8× 13 1.0k
Samantha B. Nicholls United States 16 850 1.3× 526 0.9× 369 1.7× 88 0.5× 146 1.0× 20 1.2k
Cindy Yu United States 5 440 0.7× 389 0.7× 119 0.6× 39 0.2× 124 0.9× 6 810
Paul S. Marinec United States 9 270 0.4× 363 0.6× 204 1.0× 77 0.4× 128 0.9× 10 657
Laura Tapella Italy 14 507 0.8× 541 1.0× 215 1.0× 125 0.7× 73 0.5× 34 974

Countries citing papers authored by Michelle E. King

Since Specialization
Citations

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

Fields of papers citing papers by Michelle E. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle E. King

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

All Works

20 of 20 papers shown
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King, Michelle E., et al.. (2019). MicroRNA-1-Mediated Inhibition of Cardiac Fibroblast Proliferation Through Targeting Cyclin D2 and CDK6. Frontiers in Cardiovascular Medicine. 6. 65–65. 30 indexed citations
3.
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Jhun, Bong Sook, Jin O‐Uchi, Michelle E. King, et al.. (2018). Protein kinase D activation induces mitochondrial fragmentation and dysfunction in cardiomyocytes. The Journal of Physiology. 596(5). 827–855. 48 indexed citations
6.
King, Michelle E., et al.. (2015). Dynamic Regulation of MicroRNAs in Cardiac Fibroblasts upon Activation. The FASEB Journal. 29(S1). 1 indexed citations
7.
Park‐Windhol, Cindy, Peng Zhang, Ming Zhu, et al.. (2012). Gq/11-Mediated Signaling and Hypertrophy in Mice with Cardiac-Specific Transgenic Expression of Regulator of G-Protein Signaling 2. PLoS ONE. 7(7). e40048–e40048. 15 indexed citations
8.
Choi, Bum‐Rak, Michelle E. King, Angel Maldonado, et al.. (2012). Abstract 349: Functional Scaffold-Free 3D Cardiac Microtissues: A Novel Model for the Investigation of Heart Cells. Circulation Research. 111(suppl_1). 1 indexed citations
9.
Zhang, Peng, et al.. (2011). Regulator of G protein signaling 2 is a functionally important negative regulator of angiotensin II-induced cardiac fibroblast responses. American Journal of Physiology-Heart and Circulatory Physiology. 301(1). H147–H156. 43 indexed citations
10.
King, Julia A., et al.. (2011). Electrical and thermal conductivity and tensile and flexural properties: Comparison of carbon black/polycarbonate and carbon nanotube/polycarbonate resins. Journal of Applied Polymer Science. 121(4). 2273–2281. 24 indexed citations
11.
Durocher, John J., et al.. (2011). Social technology restriction alters state-anxiety but not autonomic activity in humans. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 301(6). R1773–R1778. 12 indexed citations
12.
King, Michelle E., et al.. (2008). RGS2 is a negative regulator of Gq/11‐mediated signaling and cell proliferation in adult rat ventricular fibroblasts. The FASEB Journal. 22(S1). 1 indexed citations
13.
King, Michelle E., et al.. (2006). Tau-dependent microtubule disassembly initiated by prefibrillar β-amyloid. The Journal of Cell Biology. 175(4). 541–546. 178 indexed citations
14.
King, Michelle E.. (2004). Can tau filaments be both physiologically beneficial and toxic?. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1739(2-3). 260–267. 11 indexed citations
15.
Nicolas, Valérie, et al.. (2002). The Mechanism for Regulation of the F-actin Binding Activity of IQGAP1 by Calcium/Calmodulin. Journal of Biological Chemistry. 277(14). 12324–12333. 100 indexed citations
16.
King, Michelle E., Nupur Ghoshal, Joseph S. Wall, Lester I. Binder, & Hanna Ksiȩżak-Reding. (2001). Structural Analysis of Pick’s Disease-Derived and in Vitro-Assembled Tau Filaments. American Journal Of Pathology. 158(4). 1481–1490. 45 indexed citations
17.
King, Michelle E., T. Chris Gamblin, Jeff Kuret, & Lester I. Binder. (2000). Differential Assembly of Human Tau Isoforms in the Presence of Arachidonic Acid. Journal of Neurochemistry. 74(4). 1749–1757. 149 indexed citations
18.
Gamblin, T. Chris, Michelle E. King, Hana N. Dawson, et al.. (2000). In Vitro Polymerization of Tau Protein Monitored by Laser Light Scattering:  Method and Application to the Study of FTDP-17 Mutants. Biochemistry. 39(20). 6136–6144. 115 indexed citations
19.
Gamblin, T. Chris, Michelle E. King, Jeff Kuret, Robert W. Berry, & Lester I. Binder. (2000). Oxidative Regulation of Fatty Acid-Induced Tau Polymerization. Biochemistry. 39(46). 14203–14210. 123 indexed citations
20.
King, Michelle E., et al.. (1999). Ligand-Dependent Tau Filament Formation:  Implications for Alzheimer's Disease Progression. Biochemistry. 38(45). 14851–14859. 119 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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