Gianpaolo Bravi
- Computational Theory and Mathematics top 0.5%
- Molecular Biology
- Pharmacology top 0.5%
- Spectroscopy top 5%
- Organic Chemistry top 10%
- Co-authors
- James H. WikelSean EkinsSteven WrightonValerie J. GilletJennifer S. GillespieBarbara J. RingAndrew R. LeachYogendra Patel
- Topics
- Computational Drug Discovery Methods (18 papers)Analytical Chemistry and Chromatography (9 papers)Chemical Synthesis and Analysis (7 papers)
- Journals
- Journal of Medicinal ChemistryJournal of Pharmacology and Experimental TherapeuticsJournal of Computational Chemistry
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Gianpaolo Bravi
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 770
- Molecular Biology 485
- Pharmacology 425
- Spectroscopy 302
- Organic Chemistry 196
Countries citing papers authored by Gianpaolo Bravi
This map shows the geographic impact of Gianpaolo Bravi'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 Gianpaolo Bravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianpaolo Bravi more than expected).
Fields of papers citing papers by Gianpaolo Bravi
This network shows the impact of papers produced by Gianpaolo Bravi. 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 Gianpaolo Bravi. The network helps show where Gianpaolo Bravi may publish in the future.
Co-authorship network of co-authors of Gianpaolo Bravi
This figure shows the co-authorship network connecting the top 25 collaborators of Gianpaolo Bravi. A scholar is included among the top collaborators of Gianpaolo Bravi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gianpaolo Bravi. Gianpaolo Bravi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 96 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 78 | |
| 6 | 46 | |
| 7 | 62 | |
| 8 | 98 | |
| 9 | 20 | |
| 10 | 12 | |
| 11 | 104 | |
| 12 | 111 | |
| 13 | Three and four dimensional-quantitative structure activity relationship (3D/4D-QSAR) analyses of CYP2D6 inhibitors. | 72 |
| 14 | 86 | |
| 15 | 89 | |
| 16 | 29 | |
| 17 | 5 | |
| 18 | 16 | |
| 19 | 10 | |
| 20 | 4 |
About Gianpaolo Bravi
Gianpaolo Bravi is a scholar working on Computational Theory and Mathematics, Pharmacology and Spectroscopy, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Analytical Chemistry and Chromatography (9 papers) and Chemical Synthesis and Analysis (7 papers). The work is most often cited by research in Computational Theory and Mathematics (770 citations), Pharmacology (425 citations) and Spectroscopy (302 citations). Gianpaolo Bravi has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include James H. Wikel, Sean Ekins, Steven Wrighton, Valerie J. Gillet, Jennifer S. Gillespie, Barbara J. Ring, Andrew R. Leach, Yogendra Patel, Emanuela Gancia and Andrea Zaliani. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Journal of Computational 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.