Roberto Paciotti
Impact in
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- Metal complexes synthesis and properties
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- Ferrocene Chemistry and Applications
Papers in
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- DNA and Nucleic Acid Chemistry 4
- Prion Diseases and Protein Misfolding 4
- Enzyme function and inhibition 3
- Oncology 13
- Metal complexes synthesis and properties 11
- Co-authors
- Nazzareno Re (18 shared papers)Cecilia Coletti (21 shared papers)Alessandro Marrone (11 shared papers)Loriano Storchi (7 shared papers)Maria Elisa Crestoni (11 shared papers)Simonetta Fornarini (10 shared papers)Barbara Chiavarino (8 shared papers)Davide Corinti (9 shared papers)
- Journals
- Journal of Computer-Aided Molecular Design (4 papers)Journal of Inorganic Biochemistry (3 papers)Physical Chemistry Chemical Physics (2 papers)Journal of Molecular Modeling (2 papers)Proteins Structure Function and Bioinformatics (2 papers)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Roberto Paciotti
29 papers receiving 327 citations
Peers
Comparison fields: 5 of 63
- Oncology 137
- Organic Chemistry 105
- Spectroscopy 44
- Molecular Biology 149
- Computational Theory and Mathematics 35
Countries citing papers authored by Roberto Paciotti
This map shows the geographic impact of Roberto Paciotti'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 Roberto Paciotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Paciotti more than expected).
Fields of papers citing papers by Roberto Paciotti
This network shows the impact of papers produced by Roberto Paciotti. 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 Roberto Paciotti. The network helps show where Roberto Paciotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Paciotti, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 33 | |
| 2 | 2017 | 26 | |
| 3 | 2015 | 25 | |
| 4 | 2021 | 24 | |
| 5 | 2020 | 22 | |
| 6 | 2018 | 19 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 18 | |
| 9 | 2019 | 16 | |
| 10 | 2015 | 15 | |
| 11 | 2018 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2016 | 14 | |
| 14 | 2024 | 12 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 4 |
About Roberto Paciotti
Roberto Paciotti is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Materials Chemistry and Physiology, having authored 32 papers that have together received 327 indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (11 papers), Lanthanide and Transition Metal Complexes (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Prion Diseases and Protein Misfolding (4 papers), Computational Drug Discovery Methods (3 papers), Trace Elements in Health (3 papers), Enzyme function and inhibition (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Oncology (137 citations), Organic Chemistry (105 citations), Spectroscopy (44 citations), Molecular Biology (149 citations) and Computational Theory and Mathematics (35 citations). Roberto Paciotti has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Nazzareno Re, Cecilia Coletti, Alessandro Marrone, Loriano Storchi, Maria Elisa Crestoni, Simonetta Fornarini, Barbara Chiavarino, Davide Corinti, Mariangela Agamennone and Marialuigia Fantacuzzi. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Journal of Inorganic Biochemistry, Physical Chemistry Chemical Physics, Journal of Molecular Modeling and Proteins Structure Function and Bioinformatics.
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.