Gianni Chessari
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.2%
- Organic Chemistry top 5%
- Materials Chemistry top 10%
- Pharmacology top 5%
- Co-authors
- Andrew WoodheadMiles CongreveChristopher W. MurrayMichael J. HartshornDominic TisiMarcel L. VerdonkPaul N. MortensonSuzanne Brewerton
- Topics
- Computational Drug Discovery Methods (9 papers)Protein Structure and Dynamics (5 papers)Crystallography and molecular interactions (4 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionChemical Communications
- Partner nations
- United KingdomFranceItaly
In The Last Decade
Gianni Chessari
34 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.0k
- Computational Theory and Mathematics 1.2k
- Organic Chemistry 656
- Materials Chemistry 462
- Pharmacology 259
Countries citing papers authored by Gianni Chessari
This map shows the geographic impact of Gianni Chessari'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 Gianni Chessari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianni Chessari more than expected).
Fields of papers citing papers by Gianni Chessari
This network shows the impact of papers produced by Gianni Chessari. 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 Gianni Chessari. The network helps show where Gianni Chessari may publish in the future.
Co-authorship network of co-authors of Gianni Chessari
This figure shows the co-authorship network connecting the top 25 collaborators of Gianni Chessari. A scholar is included among the top collaborators of Gianni Chessari 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 Gianni Chessari. Gianni Chessari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 64 | |
| 3 | 53 | |
| 4 | 57 | |
| 5 | 32 | |
| 6 | 31 | |
| 7 | 85 | |
| 8 | 3 | |
| 9 | 150 | |
| 10 | Recent Developments in Fragment-Based Drug Discoverybreakdown → | 476 |
| 11 | 1 | |
| 12 | 59 | |
| 13 | 31 | |
| 14 | Diverse, High-Quality Test Set for the Validation of Protein−Ligand Docking Performancebreakdown → | 501 |
| 15 | 64 | |
| 16 | 4 | |
| 17 | 23 | |
| 18 | 85 | |
| 19 | 21 | |
| 20 | 25 |
About Gianni Chessari
Gianni Chessari is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics and Pharmaceutical Science, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (5 papers) and Crystallography and molecular interactions (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Molecular Biology (2.0k citations) and Physical and Theoretical Chemistry (225 citations). Gianni Chessari has collaborated with scholars based in United Kingdom, France and Italy. Frequent co-authors include Andrew Woodhead, Miles Congreve, Christopher W. Murray, Michael J. Hartshorn, Dominic Tisi, Marcel L. Verdonk, Paul N. Mortenson, Suzanne Brewerton, Wijnand T. M. Mooij and Robin Taylor. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Chemical Communications.
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.