Francesca Brero
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- Characterization and Applications of Magnetic Nanoparticles
- Nanoplatforms for cancer theranostics
- Microfluidic and Bio-sensing Technologies
- Graphene and Nanomaterials Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 4
- COVID-19 diagnosis using AI 4
- Advanced MRI Techniques and Applications 2
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- Characterization and Applications of Magnetic Nanoparticles 6
- Co-authors
- A. Lascialfari (10 shared papers)Paolo Arosio (9 shared papers)Manuel Mariani (7 shared papers)Claudio Sangregorio (5 shared papers)Francesco Orsini (5 shared papers)Claudia Innocenti (4 shared papers)Andrea Guerrini (3 shared papers)M. P. Morales (3 shared papers)
In The Last Decade
Francesca Brero
16 papers receiving 218 citations
Peers
Comparison fields: 5 of 55
- Biomaterials 98
- Biomedical Engineering 145
- Molecular Medicine 9
- Renewable Energy, Sustainability and the Environment 26
- Health Informatics 2
Countries citing papers authored by Francesca Brero
This map shows the geographic impact of Francesca Brero'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 Brero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Brero more than expected).
Fields of papers citing papers by Francesca Brero
This network shows the impact of papers produced by Francesca Brero. 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 Brero. The network helps show where Francesca Brero may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Brero, 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 | 2019 | 47 | |
| 2 | 2021 | 45 | |
| 3 | 2018 | 32 | |
| 4 | 2019 | 19 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2020 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 0 |
About Francesca Brero
Francesca Brero is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Biomaterials, Renewable Energy, Sustainability and the Environment and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 218 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (6 papers), Characterization and Applications of Magnetic Nanoparticles (6 papers), Iron oxide chemistry and applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), NMR spectroscopy and applications (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Biomaterials (98 citations), Biomedical Engineering (145 citations), Molecular Medicine (9 citations), Renewable Energy, Sustainability and the Environment (26 citations) and Health Informatics (2 citations). Francesca Brero has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include A. Lascialfari, Paolo Arosio, Manuel Mariani, Claudio Sangregorio, Francesco Orsini, Claudia Innocenti, Andrea Guerrini, M. P. Morales, Quentin A. Pankhurst and Olivier Sandre. Their work appears in journals such as Nanomaterials, Dalton Transactions, Journal of Magnetism and Magnetic Materials, European Radiology and European Radiology Experimental.
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.