Francesca Cavalieri
Impact in
- Biomaterials top 0.5%
- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
- Molecular Medicine top 1%
- Hydrogels: synthesis, properties, applications
Papers in
-
- Ultrasound and Hyperthermia Applications 24
-
- Advanced biosensing and bioanalysis techniques 19
- RNA Interference and Gene Delivery 19
- Co-authors
- Gaio Paradossi (26 shared papers)Frank Caruso (48 shared papers)Ester Chiessi (19 shared papers)Muthupandian Ashokkumar (38 shared papers)Mariarosaria Tortora (11 shared papers)Meifang Zhou (14 shared papers)Agata Glab (8 shared papers)Quinn A. Besford (10 shared papers)
In The Last Decade
Francesca Cavalieri
134 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 146
- Biomaterials 1.2k
- Molecular Medicine 385
- Surfaces, Coatings and Films 355
- Biomedical Engineering 1.6k
- Polymers and Plastics 458
Countries citing papers authored by Francesca Cavalieri
This map shows the geographic impact of Francesca Cavalieri'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 Cavalieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Cavalieri more than expected).
Fields of papers citing papers by Francesca Cavalieri
This network shows the impact of papers produced by Francesca Cavalieri. 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 Cavalieri. The network helps show where Francesca Cavalieri may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Cavalieri, 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 280 | |
| 2 | 2014 | 212 | |
| 3 | 2018 | 209 | |
| 4 | 2019 | 169 | |
| 5 | 2008 | 124 | |
| 6 | 2005 | 112 | |
| 7 | 2009 | 91 | |
| 8 | 2011 | 88 | |
| 9 | 2007 | 88 | |
| 10 | 2008 | 85 | |
| 11 | 1999 | 73 | |
| 12 | 2018 | 71 | |
| 13 | 2018 | 68 | |
| 14 | 2019 | 68 | |
| 15 | 2004 | 68 | |
| 16 | 2006 | 67 | |
| 17 | 2008 | 66 | |
| 18 | 2017 | 65 | |
| 19 | 2002 | 60 | |
| 20 | 2019 | 58 |
About Francesca Cavalieri
Francesca Cavalieri is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Biomaterials and Organic Chemistry, having authored 137 papers that have together received 4.3k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (24 papers), Advanced biosensing and bioanalysis techniques (19 papers), RNA Interference and Gene Delivery (19 papers), Nanoparticle-Based Drug Delivery (16 papers), Ultrasound and Cavitation Phenomena (15 papers), Hydrogels: synthesis, properties, applications (12 papers), Polymer Surface Interaction Studies (10 papers) and Electrospun Nanofibers in Biomedical Applications (9 papers). The work is most often cited by research in Biomaterials (1.2k citations), Molecular Medicine (385 citations), Surfaces, Coatings and Films (355 citations), Biomedical Engineering (1.6k citations) and Polymers and Plastics (458 citations). Francesca Cavalieri has collaborated with scholars based in Italy, Australia and Czechia. Frequent co-authors include Gaio Paradossi, Frank Caruso, Ester Chiessi, Muthupandian Ashokkumar, Mariarosaria Tortora, Meifang Zhou, Agata Glab, Quinn A. Besford, F. Padella and Marcin Wojnilowicz. Their work appears in journals such as ACS Nano, Biomacromolecules, Nanoscale, Ultrasonics Sonochemistry and ACS Applied Materials & Interfaces.
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.