Roberto Nuti
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
-
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 12
- Oncology 4
- Drug Transport and Resistance Mechanisms 4
- Co-authors
- Noeris K. Salam (1 shared paper)Woody Sherman (1 shared paper)Antonio Macchiarulo (13 shared papers)Roberto Pellicciari (9 shared papers)Emidio Camaioni (3 shared papers)Antimo Gioiello (5 shared papers)Emiliano Rosatelli (2 shared papers)Mark Pruzanski (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (4 papers)ACS Medicinal Chemistry Letters (2 papers)Journal of Molecular Graphics and Modelling (2 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Roberto Nuti
15 papers receiving 695 citations
Peers
Comparison fields: 5 of 63
- Biological Psychiatry 47
- Computational Theory and Mathematics 301
- Oncology 113
- Biochemistry 19
- Organic Chemistry 95
Countries citing papers authored by Roberto Nuti
This map shows the geographic impact of Roberto Nuti'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 Nuti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Nuti more than expected).
Fields of papers citing papers by Roberto Nuti
This network shows the impact of papers produced by Roberto Nuti. 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 Nuti. The network helps show where Roberto Nuti may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Nuti, 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 | 2009 | 286 | |
| 2 | 2008 | 111 | |
| 3 | 2012 | 49 | |
| 4 | 2014 | 40 | |
| 5 | 2013 | 37 | |
| 6 | 2008 | 34 | |
| 7 | 2012 | 34 | |
| 8 | 2007 | 32 | |
| 9 | 2008 | 22 | |
| 10 | 2012 | 16 | |
| 11 | 2013 | 16 | |
| 12 | 2014 | 10 | |
| 13 | 2009 | 9 | |
| 14 | 2015 | 8 | |
| 15 | 2013 | 7 |
About Roberto Nuti
Roberto Nuti is a scholar working on Computational Theory and Mathematics, Oncology, Biological Psychiatry, Molecular Biology and Biochemistry, having authored 15 papers that have together received 711 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Drug Transport and Resistance Mechanisms (4 papers), Protein Structure and Dynamics (2 papers), Receptor Mechanisms and Signaling (1 paper), Natural product bioactivities and synthesis (1 paper), Protein Tyrosine Phosphatases (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Surfactants and Colloidal Systems (1 paper). The work is most often cited by research in Biological Psychiatry (47 citations), Computational Theory and Mathematics (301 citations), Oncology (113 citations), Biochemistry (19 citations) and Organic Chemistry (95 citations). Roberto Nuti has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Noeris K. Salam, Woody Sherman, Antonio Macchiarulo, Roberto Pellicciari, Emidio Camaioni, Antimo Gioiello, Emiliano Rosatelli, Mark Pruzanski, Daniela Dolciami and Francesca Fallarino. Their work appears in journals such as Journal of Chemical Information and Modeling, ACS Medicinal Chemistry Letters, Journal of Molecular Graphics and Modelling, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Journal of 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.