Michelle E. King

1.3k citations
20 papers · 1.1k · h-index 14

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Michelle E. King

20 papers receiving 1.1k citations

Peers

Michelle E. King
Comparison fields: 5 of 92
  • Physiology 662
  • Neurology 122
  • Cellular and Molecular Neuroscience 211
  • Cell Biology 185
  • Pharmacology 147
Replace Mario Nizzari with:
Mario Nizzari Italy
Haihao Zhu United States
Hisatomo Kowa Japan
Jian-Sheng Gong Japan
Sue‐Ann Mok Canada
Ann‐Sofi Johansson Sweden
Jung A. Woo United States
Ferdie Soriano United States
Yukiko Matsuda Japan
María V. Andrés Germany
Michelle E. King relative to Mario Nizzari Italy Mario Nizzari's profile →
Citations per field
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Mario Nizzari · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown
#Work
1 2006187
2 2000154
3 2000129
4 1999125
5 2000118
6 2002103
7 201850
8 201848
9 200148
10 201143
11 201930
12 201126
13 201216
14 200414
15 201113
16 20081
17 20121
18 20221
19 20151
20 20181

About Michelle E. King

Michelle E. King is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Surgery and Biomaterials, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Prion Diseases and Protein Misfolding (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Receptor Mechanisms and Signaling (3 papers), 3D Printing in Biomedical Research (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Physiology (662 citations), Neurology (122 citations), Cellular and Molecular Neuroscience (211 citations), Cell Biology (185 citations) and Pharmacology (147 citations). Michelle E. King has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Lester I. Binder, Jeff Kuret, T. Chris Gamblin, George S. Bloom, Robert W. Berry, Alev Erişir, Peter W. Baas, Charles Glabe, Ulrike Mende and Hana N. Dawson. Their work appears in journals such as Biochemistry, The FASEB Journal, PLoS ONE, Circulation and Frontiers in Cardiovascular Medicine.

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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