Filippo Marchetti
Impact in
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- Computational Drug Discovery Methods
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 3
- Heat shock proteins research 2
- Microbial Metabolic Engineering and Bioproduction 2
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- Computational Drug Discovery Methods 4
- Co-authors
- Giorgio Colombo (12 shared papers)Elisabetta Moroni (5 shared papers)Stefano A. Serapian (7 shared papers)Alessandro Pandini (1 shared paper)Antonella Paladino (2 shared papers)Andrea Rasola (3 shared papers)Silvia Rinaldi (1 shared paper)Riccardo Capelli (2 shared papers)
In The Last Decade
Filippo Marchetti
13 papers receiving 223 citations
Peers
Comparison fields: 5 of 59
- Computational Theory and Mathematics 59
- Infectious Diseases 58
- Molecular Biology 156
- Radiology, Nuclear Medicine and Imaging 26
- Physical and Theoretical Chemistry 9
Countries citing papers authored by Filippo Marchetti
This map shows the geographic impact of Filippo Marchetti'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 Filippo Marchetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Marchetti more than expected).
Fields of papers citing papers by Filippo Marchetti
This network shows the impact of papers produced by Filippo Marchetti. 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 Filippo Marchetti. The network helps show where Filippo Marchetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Filippo Marchetti, 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 | 2021 | 47 | |
| 2 | 2020 | 37 | |
| 3 | 2021 | 29 | |
| 4 | 2017 | 25 | |
| 5 | 2023 | 23 | |
| 6 | 2019 | 15 | |
| 7 | 2022 | 13 | |
| 8 | 2017 | 12 | |
| 9 | 2016 | 8 | |
| 10 | 2021 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 3 | |
| 13 | 2021 | 2 | |
| 14 | The Rome II Regulation in Italian and Other National Courts | 2017 | 0 |
About Filippo Marchetti
Filippo Marchetti is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Ecology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 226 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Bacteriophages and microbial interactions (3 papers), RNA and protein synthesis mechanisms (3 papers), Heat shock proteins research (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Computational Theory and Mathematics (59 citations), Infectious Diseases (58 citations), Molecular Biology (156 citations), Radiology, Nuclear Medicine and Imaging (26 citations) and Physical and Theoretical Chemistry (9 citations). Filippo Marchetti has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Giorgio Colombo, Elisabetta Moroni, Stefano A. Serapian, Alessandro Pandini, Antonella Paladino, Andrea Rasola, Silvia Rinaldi, Riccardo Capelli, Matteo Castelli and Massimiliano Meli. Their work appears in journals such as The Journal of Physical Chemistry Letters, Journal of Chemical Information and Modeling, Journal of Chemical Theory and Computation, ChemMedChem and RSC Medicinal Chemistry.
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.