Tuomas P. J. Knowles
- Biomaterials top 0.02%
- Supramolecular Self-Assembly in Materials 82
- Physiology top 0.02%
- Alzheimer's disease research and treatments 190
- Molecular Biology top 0.05%
- Protein Structure and Dynamics 136
- Prion Diseases and Protein Misfolding 73
- RNA Research and Splicing 36
- Neurology top 0.1%
- Parkinson's Disease Mechanisms and Treatments 35
- Cell Biology top 0.2%
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- Microfluidic and Capillary Electrophoresis Applications 45
- Innovative Microfluidic and Catalytic Techniques Innovation 37
- Co-authors
- Christopher M. DobsonMichele VendruscoloSara LinseSamuel I. A. CohenGeorg MeislThomas C. T. MichaelsMark E. WellandPaolo Arosio
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Tuomas P. J. Knowles
459 papers receiving 32.7k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Biomaterials 7.8k
- Physiology 14.8k
- Molecular Biology 19.2k
- Neurology 4.0k
- Cell Biology 2.4k
Countries citing papers authored by Tuomas P. J. Knowles
This map shows the geographic impact of Tuomas P. J. Knowles'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 Tuomas P. J. Knowles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuomas P. J. Knowles more than expected).
Fields of papers citing papers by Tuomas P. J. Knowles
This network shows the impact of papers produced by Tuomas P. J. Knowles. 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 Tuomas P. J. Knowles. The network helps show where Tuomas P. J. Knowles may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tuomas P. J. Knowles, 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 | 2024 | 8 | |
| 2 | 2024 | 18 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 121 | |
| 6 | 2022 | 44 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 53 | |
| 9 | 2021 | 36 | |
| 10 | 2021 | 74 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 31 | |
| 14 | 2020 | 47 | |
| 15 | 2020 | 92 | |
| 16 | 2018 | 9 | |
| 17 | 2018 | 25 | |
| 18 | 2017 | 69 | |
| 19 | Structural characterization of toxic oligomers that are kinetically trapped during α-synuclein fibril formationbreakdown → | 2015 | 368 |
| 20 | An Analytical Solution to the Kinetics of Breakable Filament Assemblybreakdown → | 2009 | 899 |
About Tuomas P. J. Knowles
Tuomas P. J. Knowles is a scholar working on Biomaterials, Physiology and Molecular Biology, having authored 465 papers that have together received 32.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (190 papers), Protein Structure and Dynamics (136 papers), Supramolecular Self-Assembly in Materials (82 papers), Prion Diseases and Protein Misfolding (73 papers), Microfluidic and Capillary Electrophoresis Applications (45 papers), Innovative Microfluidic and Catalytic Techniques Innovation (37 papers), RNA Research and Splicing (36 papers) and Parkinson's Disease Mechanisms and Treatments (35 papers). The work is most often cited by research in Biomaterials (7.8k citations), Physiology (14.8k citations) and Molecular Biology (19.2k citations). Tuomas P. J. Knowles has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Christopher M. Dobson, Michele Vendruscolo, Sara Linse, Samuel I. A. Cohen, Georg Meisl, Thomas C. T. Michaels, Mark E. Welland, Paolo Arosio, Alexander K. Buell and Aviad Levin. Their work appears in journals such as Science, Cell and Chemical Reviews.
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.