Thomas C. T. Michaels
- Physiology top 0.5%
- Alzheimer's disease research and treatments 45
- Biomaterials top 1%
- Supramolecular Self-Assembly in Materials 18
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 7
- Molecular Biology top 2%
- Protein Structure and Dynamics 42
- Prion Diseases and Protein Misfolding 24
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- Computational Drug Discovery Methods 11
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- Proteins in Food Systems 8
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- Cellular Mechanics and Interactions 7
- Co-authors
- Tuomas P. J. KnowlesChristopher M. DobsonGeorg MeislMichele VendruscoloSara LinsePaolo ArosioAnđela ŠarićAlexander K. Buell
- Cited by
- PhysiologyBiomaterialsNeurology
- Journals
- Proceedings of the National Academy of Sciences (11 papers)Journal of the American Chemical Society (3 papers)Physical Review Letters (2 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Thomas C. T. Michaels
94 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Physiology 2.7k
- Biomaterials 1.1k
- Neurology 696
- Molecular Biology 3.1k
- Computational Theory and Mathematics 469
Countries citing papers authored by Thomas C. T. Michaels
This map shows the geographic impact of Thomas C. T. Michaels'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 Thomas C. T. Michaels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas C. T. Michaels more than expected).
Fields of papers citing papers by Thomas C. T. Michaels
This network shows the impact of papers produced by Thomas C. T. Michaels. 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 Thomas C. T. Michaels. The network helps show where Thomas C. T. Michaels may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas C. T. Michaels, 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 | 2026 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 8 | |
| 5 | 2022 | 44 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 47 | |
| 11 | 2020 | 92 | |
| 12 | 2020 | 112 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 41 | |
| 15 | 2020 | 133 | |
| 16 | 2020 | 17 | |
| 17 | 2019 | 23 | |
| 18 | 2017 | 19 | |
| 19 | 2016 | 32 | |
| 20 | 2016 | 32 |
About Thomas C. T. Michaels
Thomas C. T. Michaels is a scholar working on Physiology, Biomaterials and Aging, having authored 95 papers that have together received 5.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (45 papers), Protein Structure and Dynamics (42 papers), Prion Diseases and Protein Misfolding (24 papers), Supramolecular Self-Assembly in Materials (18 papers), Computational Drug Discovery Methods (11 papers), Proteins in Food Systems (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Cellular Mechanics and Interactions (7 papers). The work is most often cited by research in Physiology (2.7k citations), Biomaterials (1.1k citations) and Neurology (696 citations). Thomas C. T. Michaels has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Tuomas P. J. Knowles, Christopher M. Dobson, Georg Meisl, Michele Vendruscolo, Sara Linse, Paolo Arosio, Anđela Šarić, Alexander K. Buell, Alexander J. Dear and Samuel I. A. Cohen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.