Fabiana Caporuscio
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- Computational Drug Discovery Methods 12
- Organic Chemistry top 10%
- Supramolecular Chemistry and Complexes 3
- Toxicology top 10%
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- Cancer therapeutics and mechanisms 5
- Protein Structure and Dynamics 3
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- Mass Spectrometry Techniques and Applications 4
- Molecular Sensors and Ion Detection 3
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- Microbial Natural Products and Biosynthesis 3
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- Lung Cancer Treatments and Mutations 3
- Co-authors
- Giulio RastelliAndrea TafiAlberto Del RíoGiuseppe Felice MangiatordiCarol ImbrianoAndrew AnighoroMiriam SgobbaLuca Pinzi
- Journals
- Angewandte Chemie International Edition (1 paper)PLoS ONE (1 paper)Journal of Medicinal Chemistry (4 papers)
- Partner nations
- ItalyUnited KingdomAustralia
In The Last Decade
Fabiana Caporuscio
24 papers receiving 781 citations
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 267
- Organic Chemistry 276
- Toxicology 26
- Virology 25
- Infectious Diseases 96
Countries citing papers authored by Fabiana Caporuscio
This map shows the geographic impact of Fabiana Caporuscio'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 Fabiana Caporuscio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabiana Caporuscio more than expected).
Fields of papers citing papers by Fabiana Caporuscio
This network shows the impact of papers produced by Fabiana Caporuscio. 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 Fabiana Caporuscio. The network helps show where Fabiana Caporuscio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabiana Caporuscio, 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 | 2021 | 21 | |
| 2 | 2020 | 41 | |
| 3 | 2018 | 24 | |
| 4 | 2018 | 20 | |
| 5 | 2018 | 21 | |
| 6 | 2018 | 15 | |
| 7 | 2016 | 31 | |
| 8 | 2016 | 5 | |
| 9 | 2014 | 43 | |
| 10 | 2012 | 74 | |
| 11 | 2011 | 51 | |
| 12 | 2011 | 4 | |
| 13 | 2011 | 90 | |
| 14 | 2010 | 53 | |
| 15 | 2009 | 19 | |
| 16 | 2008 | 29 | |
| 17 | 2008 | 10 | |
| 18 | 2006 | 26 | |
| 19 | 2006 | 18 | |
| 20 | 2005 | 103 |
About Fabiana Caporuscio
Fabiana Caporuscio is a scholar working on Computational Theory and Mathematics, Virology and Spectroscopy, having authored 24 papers that have together received 791 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Cancer therapeutics and mechanisms (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Protein Structure and Dynamics (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Molecular Sensors and Ion Detection (3 papers), Supramolecular Chemistry and Complexes (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Computational Theory and Mathematics (267 citations), Organic Chemistry (276 citations) and Toxicology (26 citations). Fabiana Caporuscio has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Giulio Rastelli, Andrea Tafi, Alberto Del Río, Giuseppe Felice Mangiatordi, Carol Imbriano, Andrew Anighoro, Miriam Sgobba, Luca Pinzi, Maurizio Recanatini and Federico Falchi. Their work appears in journals such as Angewandte Chemie International Edition, PLoS ONE 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.