Michelle E. King
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
-
- Prion Diseases and Protein Misfolding 5
- Receptor Mechanisms and Signaling 3
-
- Cardiac Fibrosis and Remodeling 4
- Co-authors
- Lester I. Binder (5 shared papers)Jeff Kuret (4 shared papers)T. Chris Gamblin (3 shared papers)George S. Bloom (2 shared papers)Robert W. Berry (2 shared papers)Peter W. Baas (1 shared paper)Alev Erişir (1 shared paper)Charles Glabe (1 shared paper)
- Journals
- Biochemistry (3 papers)The FASEB Journal (2 papers)PLoS ONE (2 papers)The Journal of Cell Biology (1 paper)Journal of Applied Polymer Science (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Michelle E. King
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Physiology 640
- Neurology 118
- Cellular and Molecular Neuroscience 211
- Cell Biology 179
- Pharmacology 140
Countries citing papers authored by Michelle E. King
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 178 | |
| 2 | 2000 | 149 | |
| 3 | 2000 | 123 | |
| 4 | 1999 | 119 | |
| 5 | 2000 | 115 | |
| 6 | 2002 | 100 | |
| 7 | 2018 | 49 | |
| 8 | 2018 | 48 | |
| 9 | 2001 | 45 | |
| 10 | 2011 | 43 | |
| 11 | 2019 | 30 | |
| 12 | 2011 | 24 | |
| 13 | 2012 | 15 | |
| 14 | 2011 | 12 | |
| 15 | 2004 | 11 | |
| 16 | 2008 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2022 | 1 |
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), Neuroscience and Neural Engineering (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Physiology (640 citations), Neurology (118 citations), Cellular and Molecular Neuroscience (211 citations), Cell Biology (179 citations) and Pharmacology (140 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, Peter W. Baas, Alev Erişir, Charles Glabe, Ulrike Mende and Hana N. Dawson. Their work appears in journals such as Biochemistry, The FASEB Journal, PLoS ONE, The Journal of Cell Biology and Journal of Applied Polymer Science.
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.