Michael Shaw
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
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- Extracellular vesicles in disease
- Prion Diseases and Protein Misfolding
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Lipid Membrane Structure and Behavior
Papers in
-
- Prion Diseases and Protein Misfolding 2
- Bacterial biofilms and quorum sensing 1
-
- Alzheimer's disease research and treatments 4
- Co-authors
- Létitia Jean (4 shared papers)Rok Lenarčič (1 shared paper)Ling Juan Wu (1 shared paper)L. de Visser (1 shared paper)Davide Marenduzzo (1 shared paper)Jeff Errington (1 shared paper)Sven Halbedel (1 shared paper)Leendert W. Hamoen (1 shared paper)
- Journals
- PLoS ONE (2 papers)The EMBO Journal (1 paper)Journal of Intensive Care Medicine (1 paper)Journal of Extracellular Vesicles (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Michael Shaw
12 papers receiving 622 citations
Peers
Comparison fields: 5 of 80
- Genetics 185
- Molecular Biology 444
- Endocrinology 23
- Molecular Medicine 21
- Neurology 32
Countries citing papers authored by Michael Shaw
This map shows the geographic impact of Michael Shaw'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 Michael Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Shaw more than expected).
Fields of papers citing papers by Michael Shaw
This network shows the impact of papers produced by Michael Shaw. 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 Michael Shaw. The network helps show where Michael Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Shaw, 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 | 2009 | 258 | |
| 2 | 2014 | 152 | |
| 3 | 2012 | 73 | |
| 4 | 2009 | 48 | |
| 5 | 2005 | 39 | |
| 6 | 2007 | 25 | |
| 7 | 2008 | 13 | |
| 8 | 2015 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 3 | |
| 11 | 2025 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2026 | 0 |
About Michael Shaw
Michael Shaw is a scholar working on Molecular Biology, Physiology, Pharmacology, Computational Theory and Mathematics and Infectious Diseases, having authored 13 papers that have together received 627 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Prion Diseases and Protein Misfolding (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Computational Drug Discovery Methods (2 papers), Pneumothorax, Barotrauma, Emphysema (1 paper), Takotsubo Cardiomyopathy and Associated Phenomena (1 paper), Bacterial biofilms and quorum sensing (1 paper) and Family and Patient Care in Intensive Care Units (1 paper). The work is most often cited by research in Genetics (185 citations), Molecular Biology (444 citations), Endocrinology (23 citations), Molecular Medicine (21 citations) and Neurology (32 citations). Michael Shaw has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Létitia Jean, Rok Lenarčič, Ling Juan Wu, L. de Visser, Davide Marenduzzo, Jeff Errington, Sven Halbedel, Leendert W. Hamoen, David J. Vaux and Chiu Fan Lee. Their work appears in journals such as PLoS ONE, The EMBO Journal, Journal of Intensive Care Medicine, Journal of Extracellular Vesicles and The FASEB Journal.
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.