Paolo Arosio
- Molecular Biology top 1%
- Physiology top 0.5%
- Biomaterials top 0.5%
- Biomedical Engineering top 5%
- Materials Chemistry top 5%
- Co-authors
- Tuomas P. J. KnowlesSara LinseChristopher M. DobsonMichele VendruscoloMassimo MorbidelliThomas C. T. MichaelsRaffaele MezzengaFulvio Grigolato
- Topics
- Protein purification and stability (33 papers)Protein Structure and Dynamics (30 papers)Alzheimer's disease research and treatments (27 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyChemical Society Reviews
- Partner nations
- SwitzerlandUnited KingdomSweden
In The Last Decade
Paolo Arosio
134 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 5.0k
- Physiology 2.7k
- Biomaterials 1.4k
- Biomedical Engineering 971
- Materials Chemistry 843
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 of co-authors of Paolo Arosio
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Arosio. A scholar is included among the top collaborators of Paolo Arosio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paolo Arosio. Paolo Arosio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 43 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 23 | |
| 7 | 16 | |
| 8 | 21 | |
| 9 | 49 | |
| 10 | 20 | |
| 11 | 60 | |
| 12 | 40 | |
| 13 | 19 | |
| 14 | 61 | |
| 15 | 56 | |
| 16 | 51 | |
| 17 | 126 | |
| 18 | 41 | |
| 19 | 21 | |
| 20 | 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) and Alzheimer's disease research and treatments (27 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.