Davide Provasi
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Materials Chemistry top 10%
- Pediatrics, Perinatology and Child Health top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Marta FilizolaRicardo A. BrogliaCarlo CamilloniMassimiliano BonomiMichele ParrinelloDavide DonadioPaolo RaiteriGiovanni Bussi
- Topics
- Receptor Mechanisms and Signaling (37 papers)Neuropeptides and Animal Physiology (27 papers)Protein Structure and Dynamics (20 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- United StatesItalyDenmark
In The Last Decade
Davide Provasi
71 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 2.1k
- Cellular and Molecular Neuroscience 657
- Materials Chemistry 542
- Pediatrics, Perinatology and Child Health 441
- Atomic and Molecular Physics, and Optics 343
Countries citing papers authored by Davide Provasi
This map shows the geographic impact of Davide Provasi'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 Davide Provasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Provasi more than expected).
Fields of papers citing papers by Davide Provasi
This network shows the impact of papers produced by Davide Provasi. 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 Davide Provasi. The network helps show where Davide Provasi may publish in the future.
Co-authorship network of co-authors of Davide Provasi
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Provasi. A scholar is included among the top collaborators of Davide Provasi 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 Davide Provasi. Davide Provasi 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 | 3 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 18 | |
| 9 | 37 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 32 | |
| 13 | 2 | |
| 14 | 48 | |
| 15 | 26 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 3 | |
| 19 | 387 | |
| 20 | 8 |
About Davide Provasi
Davide Provasi is a scholar working on Cellular and Molecular Neuroscience, Virology and Molecular Biology, having authored 74 papers that have together received 3.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (37 papers), Neuropeptides and Animal Physiology (27 papers) and Protein Structure and Dynamics (20 papers). The work is most often cited by research in Toxicology (154 citations), Cellular and Molecular Neuroscience (657 citations) and Geriatrics and Gerontology (136 citations). Davide Provasi has collaborated with scholars based in United States, Italy and Denmark. Frequent co-authors include Marta Filizola, Ricardo A. Broglia, Carlo Camilloni, Massimiliano Bonomi, Michele Parrinello, Davide Donadio, Paolo Raiteri, Giovanni Bussi, Fabio Pietrucci and Fabrizio Marinelli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.