Francesca Grisoni
Impact in
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods
- Health Informatics top 2%
Papers in
-
- Computational Drug Discovery Methods 59
-
- Chemical Synthesis and Analysis 12
- Metabolomics and Mass Spectrometry Studies 8
- Receptor Mechanisms and Signaling 8
- Protein Structure and Dynamics 7
- Co-authors
- Gisbert Schneider (28 shared papers)Roberto Todeschini (25 shared papers)Davide Ballabio (17 shared papers)Daniel Merk (15 shared papers)Lukas Friedrich (10 shared papers)Viviana Consonni (23 shared papers)Michaël Moret (7 shared papers)Derek van Tilborg (5 shared papers)
- Journals
- Journal of Chemical Information and Modeling (8 papers)Chemometrics and Intelligent Laboratory Systems (6 papers)Integrated Environmental Assessment and Management (4 papers)Molecular Informatics (4 papers)Communications Chemistry (4 papers)
- Partner nations
- ItalyNetherlandsSwitzerland
In The Last Decade
Francesca Grisoni
86 papers receiving 3.4k citations
Francesca Grisoni's Hit Papers
Peers
Comparison fields: 5 of 180
- Computational Theory and Mathematics 1.8k
- Health Informatics 50
- Analytical Chemistry 232
- Biophysics 132
- Molecular Biology 1.4k
Countries citing papers authored by Francesca Grisoni
This map shows the geographic impact of Francesca Grisoni'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 Francesca Grisoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Grisoni more than expected).
Fields of papers citing papers by Francesca Grisoni
This network shows the impact of papers produced by Francesca Grisoni. 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 Francesca Grisoni. The network helps show where Francesca Grisoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Grisoni, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 267 | |
| 2 | Artificial intelligence in drug discovery: recent advances and future perspectives Hit paper breakdown → | 2021 | 259 |
| 3 | 2017 | 259 | |
| 4 | 2020 | 158 | |
| 5 | Exposing the Limitations of Molecular Machine Learning with Activity Cliffs Hit paper breakdown → | 2022 | 154 |
| 6 | 2020 | 150 | |
| 7 | Engineering cytokine therapeutics Hit paper breakdown → | 2023 | 145 |
| 8 | 2021 | 113 | |
| 9 | 2023 | 102 | |
| 10 | 2018 | 89 | |
| 11 | 2018 | 88 | |
| 12 | 2016 | 88 | |
| 13 | 2018 | 86 | |
| 14 | 2023 | 78 | |
| 15 | 2021 | 60 | |
| 16 | 2023 | 60 | |
| 17 | 2018 | 58 | |
| 18 | 2020 | 57 | |
| 19 | 2018 | 54 | |
| 20 | 2024 | 52 |
About Francesca Grisoni
Francesca Grisoni is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Pharmacology and Spectroscopy, having authored 92 papers that have together received 3.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (59 papers), Machine Learning in Materials Science (25 papers), Chemical Synthesis and Analysis (12 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Receptor Mechanisms and Signaling (8 papers), Microbial Natural Products and Biosynthesis (8 papers), Protein Structure and Dynamics (7 papers) and Analytical Chemistry and Chromatography (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.8k citations), Health Informatics (50 citations), Analytical Chemistry (232 citations), Biophysics (132 citations) and Molecular Biology (1.4k citations). Francesca Grisoni has collaborated with scholars based in Italy, Netherlands and Switzerland. Frequent co-authors include Gisbert Schneider, Roberto Todeschini, Davide Ballabio, Daniel Merk, Lukas Friedrich, Viviana Consonni, Michaël Moret, Derek van Tilborg, José Jiménez-Luna and Nils Weskamp. Their work appears in journals such as Journal of Chemical Information and Modeling, Chemometrics and Intelligent Laboratory Systems, Integrated Environmental Assessment and Management, Molecular Informatics and Communications 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.