Davide Provasi
Impact in
- Toxicology top 1%
-
- Neuropeptides and Animal Physiology
Papers in
-
- Receptor Mechanisms and Signaling 37
- Protein Structure and Dynamics 20
- Lipid Membrane Structure and Behavior 10
- Pharmacological Receptor Mechanisms and Effects 9
- RNA and protein synthesis mechanisms 6
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- Neuropeptides and Animal Physiology 27
- Co-authors
- Marta Filizola (45 shared papers)Ricardo A. Broglia (19 shared papers)Carlo Camilloni (6 shared papers)Massimiliano Bonomi (2 shared papers)Michele Parrinello (2 shared papers)Fabio Pietrucci (1 shared paper)Paolo Raiteri (1 shared paper)Davide Branduardi (1 shared paper)
- Journals
- Biophysical Journal (13 papers)Proteins Structure Function and Bioinformatics (6 papers)Biochemistry (6 papers)PLoS Computational Biology (5 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesItalyDenmark
In The Last Decade
Davide Provasi
71 papers receiving 3.5k citations
Davide Provasi's Hit Papers
Peers
Comparison fields: 5 of 150
- Toxicology 154
- Cellular and Molecular Neuroscience 657
- Geriatrics and Gerontology 136
- Molecular Biology 2.1k
- Pediatrics, Perinatology and Child Health 441
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-authors
The 25 scholars most cited alongside Davide Provasi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PLUMED: A portable plugin for free-energy calculations with molecular dynamics Hit paper breakdown → | 2009 | 1448 |
| 2 | 2001 | 387 | |
| 3 | 2013 | 87 | |
| 4 | 2012 | 85 | |
| 5 | 2010 | 85 | |
| 6 | 2011 | 79 | |
| 7 | 2016 | 78 | |
| 8 | 2009 | 75 | |
| 9 | 2002 | 66 | |
| 10 | 2011 | 63 | |
| 11 | 2016 | 59 | |
| 12 | 2007 | 56 | |
| 13 | 2002 | 55 | |
| 14 | 2015 | 54 | |
| 15 | 2010 | 52 | |
| 16 | 2016 | 48 | |
| 17 | 2019 | 45 | |
| 18 | 2000 | 40 | |
| 19 | 2016 | 40 | |
| 20 | 2018 | 39 |
About Davide Provasi
Davide Provasi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Materials Chemistry, Computational Theory and Mathematics and Spectroscopy, 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), Protein Structure and Dynamics (20 papers), Lipid Membrane Structure and Behavior (10 papers), Pharmacological Receptor Mechanisms and Effects (9 papers), Computational Drug Discovery Methods (9 papers), Enzyme Structure and Function (8 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Toxicology (154 citations), Cellular and Molecular Neuroscience (657 citations), Geriatrics and Gerontology (136 citations), Molecular Biology (2.1k citations) and Pediatrics, Perinatology and Child Health (441 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, Fabio Pietrucci, Paolo Raiteri, Davide Branduardi, Fabrizio Marinelli and Giovanni Bussi. Their work appears in journals such as Biophysical Journal, Proteins Structure Function and Bioinformatics, Biochemistry, PLoS Computational Biology and Scientific Reports.
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.