Massimo Baroni
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Protein Structure and Dynamics 6
- Receptor Mechanisms and Signaling 4
-
- Computational Drug Discovery Methods 24
- Co-authors
- Gabriele Cruciani (38 shared papers)Sérgio Clementi (15 shared papers)Simone Sciabola (5 shared papers)Daniela Riganelli (4 shared papers)Francesca Perruccio (2 shared papers)Jonathan Mason (2 shared papers)Gabriele Costantino (2 shared papers)Laura Goracci (9 shared papers)
- Journals
- Journal of Chemical Information and Modeling (11 papers)Journal of Medicinal Chemistry (7 papers)Journal of Chemometrics (4 papers)Veterinary Pathology (2 papers)Journal of Small Animal Practice (2 papers)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Massimo Baroni
60 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 130
- Computational Theory and Mathematics 869
- Pharmacology 154
- Analytical Chemistry 165
- Molecular Biology 1.1k
- Spectroscopy 239
Countries citing papers authored by Massimo Baroni
This map shows the geographic impact of Massimo Baroni'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 Massimo Baroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Baroni more than expected).
Fields of papers citing papers by Massimo Baroni
This network shows the impact of papers produced by Massimo Baroni. 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 Massimo Baroni. The network helps show where Massimo Baroni may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Baroni, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 340 | |
| 2 | 1993 | 289 | |
| 3 | 1992 | 114 | |
| 4 | 1992 | 107 | |
| 5 | 2010 | 75 | |
| 6 | 2021 | 72 | |
| 7 | 2012 | 70 | |
| 8 | 2015 | 65 | |
| 9 | 2009 | 64 | |
| 10 | 1993 | 60 | |
| 11 | 2015 | 54 | |
| 12 | 2004 | 47 | |
| 13 | 2005 | 44 | |
| 14 | 2012 | 39 | |
| 15 | 2022 | 38 | |
| 16 | 2004 | 38 | |
| 17 | 2007 | 37 | |
| 18 | 2014 | 33 | |
| 19 | 2004 | 31 | |
| 20 | 2009 | 28 |
About Massimo Baroni
Massimo Baroni is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Analytical Chemistry and Surgery, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), Analytical Chemistry and Chromatography (8 papers), Spectroscopy and Chemometric Analyses (8 papers), Protein Structure and Dynamics (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Fault Detection and Control Systems (4 papers), Receptor Mechanisms and Signaling (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (869 citations), Pharmacology (154 citations), Analytical Chemistry (165 citations), Molecular Biology (1.1k citations) and Spectroscopy (239 citations). Massimo Baroni has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Gabriele Cruciani, Sérgio Clementi, Simone Sciabola, Daniela Riganelli, Francesca Perruccio, Jonathan Mason, Gabriele Costantino, Laura Goracci, Simon Cross and Emanuele Carosati. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Journal of Chemometrics, Veterinary Pathology and Journal of Small Animal Practice.
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.