Paolo Arosio
- Biomaterials top 0.5%
- Physiology top 0.5%
- Alzheimer's disease research and treatments 27
- Molecular Biology top 1%
- Protein purification and stability 33
- Protein Structure and Dynamics 30
- RNA Research and Splicing 19
- Viral Infectious Diseases and Gene Expression in Insects 14
- Neurology top 2%
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- Monoclonal and Polyclonal Antibodies Research 19
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- Microfluidic and Capillary Electrophoresis Applications 17
- Innovative Microfluidic and Catalytic Techniques Innovation 14
- Co-authors
- Tuomas P. J. KnowlesSara LinseChristopher M. DobsonMichele VendruscoloMassimo MorbidelliThomas C. T. MichaelsRaffaele MezzengaFulvio Grigolato
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of the American Chemical Society (3 papers)Chemical Society Reviews (1 paper)
- Partner nations
- SwitzerlandUnited KingdomSweden
In The Last Decade
Paolo Arosio
134 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Biomaterials 1.4k
- Physiology 2.7k
- Molecular Biology 5.0k
- Neurology 571
- Computational Theory and Mathematics 578
Countries citing papers authored by Paolo Arosio
This map shows the geographic impact of Paolo Arosio'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 Paolo Arosio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Arosio more than expected).
Fields of papers citing papers by Paolo Arosio
This network shows the impact of papers produced by Paolo Arosio. 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 Paolo Arosio. The network helps show where Paolo Arosio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paolo Arosio, 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 | 4 | |
| 2 | 2024 | 43 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 23 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 21 | |
| 9 | 2022 | 49 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 60 | |
| 12 | 2021 | 40 | |
| 13 | 2020 | 19 | |
| 14 | 2020 | 61 | |
| 15 | 2019 | 56 | |
| 16 | 2019 | 51 | |
| 17 | 2019 | 126 | |
| 18 | 2019 | 41 | |
| 19 | 2018 | 21 | |
| 20 | 2015 | 351 |
About Paolo Arosio
Paolo Arosio is a scholar working on Molecular Biology, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 137 papers that have together received 7.6k indexed citations. Recurring topics across this work include Protein purification and stability (33 papers), Protein Structure and Dynamics (30 papers), Alzheimer's disease research and treatments (27 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), RNA Research and Splicing (19 papers), Microfluidic and Capillary Electrophoresis Applications (17 papers), Innovative Microfluidic and Catalytic Techniques Innovation (14 papers) and Viral Infectious Diseases and Gene Expression in Insects (14 papers). The work is most often cited by research in Biomaterials (1.4k citations), Physiology (2.7k citations) and Molecular Biology (5.0k citations). Paolo Arosio has collaborated with scholars based in Switzerland, United Kingdom and Sweden. Frequent co-authors include Tuomas P. J. Knowles, Sara Linse, Christopher M. Dobson, Michele Vendruscolo, Massimo Morbidelli, Thomas C. T. Michaels, Raffaele Mezzenga, Fulvio Grigolato, Georg Meisl and Zhiqiang Su. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society 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.