Francesca Milletti
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
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- Computational Drug Discovery Methods
Papers in
- Oncology 17
- CAR-T cell therapy research 13
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- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 4
- Protein Structure and Dynamics 3
- Co-authors
- Gabriele Cruciani (7 shared papers)Loriano Storchi (7 shared papers)Gianluca Sforna (5 shared papers)Anna Vulpetti (3 shared papers)Laura Goracci (3 shared papers)Simon Cross (2 shared papers)Sattva S. Neelapu (8 shared papers)Yi Lin (7 shared papers)
- Journals
- Blood (4 papers)Journal of Chemical Information and Modeling (4 papers)Journal of Clinical Oncology (3 papers)Cancer Research (3 papers)Drug Discovery Today (2 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Francesca Milletti
31 papers receiving 2.2k citations
Francesca Milletti's Hit Papers
Peers
Comparison fields: 5 of 113
- Microbiology 156
- Computational Theory and Mathematics 407
- Oncology 510
- Molecular Biology 1.3k
- Organic Chemistry 279
Countries citing papers authored by Francesca Milletti
This map shows the geographic impact of Francesca Milletti'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 Milletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Milletti more than expected).
Fields of papers citing papers by Francesca Milletti
This network shows the impact of papers produced by Francesca Milletti. 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 Milletti. The network helps show where Francesca Milletti may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Milletti, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cell-penetrating peptides: classes, origin, and current landscape Hit paper breakdown → | 2012 | 666 |
| 2 | 2007 | 248 | |
| 3 | 2011 | 221 | |
| 4 | Axicabtagene ciloleucel as first-line therapy in high-risk large B-cell lymphoma: the phase 2 ZUMA-12 trial Hit paper breakdown → | 2022 | 198 |
| 5 | 2019 | 161 | |
| 6 | 2009 | 107 | |
| 7 | 2010 | 95 | |
| 8 | 2010 | 81 | |
| 9 | 2009 | 66 | |
| 10 | 2010 | 64 | |
| 11 | 2019 | 52 | |
| 12 | 2015 | 38 | |
| 13 | 2016 | 35 | |
| 14 | 2020 | 34 | |
| 15 | 2017 | 26 | |
| 16 | 2012 | 22 | |
| 17 | 2012 | 20 | |
| 18 | 2009 | 18 | |
| 19 | 2021 | 16 | |
| 20 | 2016 | 15 |
About Francesca Milletti
Francesca Milletti is a scholar working on Oncology, Molecular Biology, Computational Theory and Mathematics, Organic Chemistry and Immunology, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Computational Drug Discovery Methods (10 papers), Free Radicals and Antioxidants (5 papers), RNA Interference and Gene Delivery (4 papers), Chemistry and Chemical Engineering (4 papers), Biosimilars and Bioanalytical Methods (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Microbiology (156 citations), Computational Theory and Mathematics (407 citations), Oncology (510 citations), Molecular Biology (1.3k citations) and Organic Chemistry (279 citations). Francesca Milletti has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Gabriele Cruciani, Loriano Storchi, Gianluca Sforna, Anna Vulpetti, Laura Goracci, Simon Cross, Sattva S. Neelapu, Yi Lin, Nathan Baker and J. Michael Word. Their work appears in journals such as Blood, Journal of Chemical Information and Modeling, Journal of Clinical Oncology, Cancer Research and Drug Discovery Today.
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.