Pietro Sormanni
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Physiology top 5%
- Materials Chemistry top 10%
- Computational Theory and Mathematics top 2%
- Co-authors
- Michele VendruscoloFrancesco A. AprileChristopher M. DobsonTuomas P. J. KnowlesCarlo CamilloniGabriella T. HellerPetar VeličkovićFrancesco Simone Ruggeri
- Topics
- Monoclonal and Polyclonal Antibodies Research (34 papers)Protein Structure and Dynamics (23 papers)Protein purification and stability (20 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyChemical Society Reviews
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Pietro Sormanni
71 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 2.3k
- Radiology, Nuclear Medicine and Imaging 805
- Physiology 645
- Materials Chemistry 365
- Computational Theory and Mathematics 241
Countries citing papers authored by Pietro Sormanni
This map shows the geographic impact of Pietro Sormanni'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 Pietro Sormanni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Sormanni more than expected).
Fields of papers citing papers by Pietro Sormanni
This network shows the impact of papers produced by Pietro Sormanni. 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 Pietro Sormanni. The network helps show where Pietro Sormanni may publish in the future.
Co-authorship network of co-authors of Pietro Sormanni
This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Sormanni. A scholar is included among the top collaborators of Pietro Sormanni 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 Pietro Sormanni. Pietro Sormanni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 16 | |
| 4 | 10 | |
| 5 | 11 | |
| 6 | 72 | |
| 7 | 6 | |
| 8 | 33 | |
| 9 | 13 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | Different soluble aggregates of Aβ42 can give rise to cellular toxicity through different mechanismsbreakdown → | 387 |
| 13 | 14 | |
| 14 | 45 | |
| 15 | 112 | |
| 16 | 50 | |
| 17 | 97 | |
| 18 | 142 | |
| 19 | 65 | |
| 20 | 16 |
About Pietro Sormanni
Pietro Sormanni is a scholar working on Aging, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 75 papers that have together received 3.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (34 papers), Protein Structure and Dynamics (23 papers) and Protein purification and stability (20 papers). The work is most often cited by research in Aging (68 citations), Radiology, Nuclear Medicine and Imaging (805 citations) and Molecular Biology (2.3k citations). Pietro Sormanni has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Michele Vendruscolo, Francesco A. Aprile, Christopher M. Dobson, Tuomas P. J. Knowles, Carlo Camilloni, Gabriella T. Heller, Petar Veličković, Francesco Simone Ruggeri, Giulia Vecchi and Prajwal Ciryam. 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.