Davide Sala
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Receptor Mechanisms and Signaling
Papers in
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- Protein Structure and Dynamics 9
- RNA and protein synthesis mechanisms 5
- Machine Learning in Bioinformatics 2
- Receptor Mechanisms and Signaling 2
- Advanced biosensing and bioanalysis techniques 1
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- Enzyme Structure and Function 5
- Co-authors
- Jens Meiler (5 shared papers)Hassane S. Mchaourab (3 shared papers)Diego del Alamo (2 shared papers)Felipe Engelberger (1 shared paper)Antonio Rosato (7 shared papers)Andrea Giachetti (5 shared papers)Francesco Musiani (1 shared paper)Hossein Batebi (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (2 papers)Scientific Reports (1 paper)Journal of Biomolecular NMR (1 paper)Molecular Nutrition & Food Research (1 paper)Nature Communications (1 paper)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Davide Sala
14 papers receiving 484 citations
Davide Sala's Hit Papers
Peers
Comparison fields: 5 of 78
- Structural Biology 10
- Molecular Biology 394
- Computational Theory and Mathematics 88
- Biophysics 26
- Materials Chemistry 150
Countries citing papers authored by Davide Sala
This map shows the geographic impact of Davide Sala'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 Sala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Sala more than expected).
Fields of papers citing papers by Davide Sala
This network shows the impact of papers produced by Davide Sala. 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 Sala. The network helps show where Davide Sala may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Sala, 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 | Sampling alternative conformational states of transporters and receptors with AlphaFold2 Hit paper breakdown → | 2022 | 263 |
| 2 | 2023 | 91 | |
| 3 | 2022 | 18 | |
| 4 | 2019 | 16 | |
| 5 | 2021 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2019 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2018 | 12 | |
| 11 | 2016 | 9 | |
| 12 | 2018 | 7 | |
| 13 | 2020 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 |
About Davide Sala
Davide Sala is a scholar working on Molecular Biology, Materials Chemistry, Nutrition and Dietetics, Spectroscopy and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 488 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), RNA and protein synthesis mechanisms (5 papers), Enzyme Structure and Function (5 papers), Trace Elements in Health (3 papers), Machine Learning in Bioinformatics (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Receptor Mechanisms and Signaling (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Structural Biology (10 citations), Molecular Biology (394 citations), Computational Theory and Mathematics (88 citations), Biophysics (26 citations) and Materials Chemistry (150 citations). Davide Sala has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Jens Meiler, Hassane S. Mchaourab, Diego del Alamo, Felipe Engelberger, Antonio Rosato, Andrea Giachetti, Francesco Musiani, Hossein Batebi, Peter W. Hildebrand and Claudio Luchinat. Their work appears in journals such as Journal of Chemical Information and Modeling, Scientific Reports, Journal of Biomolecular NMR, Molecular Nutrition & Food Research and Nature Communications.
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.