Paolo Decuzzi
Impact in
- Biomaterials top 0.05%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 0.2%
- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
- 3D Printing in Biomedical Research
Papers in
- Biomaterials 72
- Nanoparticle-Based Drug Delivery 66
-
- Mathematical Biology Tumor Growth 14
- Co-authors
- M. FerrariMauro FerrariSei‐Young LeeCiro ChiappiniFrancesco GentileBiana GodinTakemi TanakaRoberto Palomba
- Journals
- ACS Nano (10 papers)Biomaterials (10 papers)ACS Applied Materials & Interfaces (7 papers)Advanced Functional Materials (5 papers)Journal of Controlled Release (5 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Paolo Decuzzi
206 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Biomaterials 4.4k
- Biomedical Engineering 5.0k
- Pharmaceutical Science 617
- Surfaces, Coatings and Films 505
- Modeling and Simulation 320
Countries citing papers authored by Paolo Decuzzi
This map shows the geographic impact of Paolo Decuzzi'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 Paolo Decuzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Decuzzi more than expected).
Fields of papers citing papers by Paolo Decuzzi
This network shows the impact of papers produced by Paolo Decuzzi. 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 Paolo Decuzzi. The network helps show where Paolo Decuzzi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paolo Decuzzi, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 26 | |
| 7 | 2022 | 24 | |
| 8 | 2022 | 8 | |
| 9 | Cytosolic delivery of nucleic acids: The case of ionizable lipid nanoparticles Hit paper breakdown → | 2021 | 255 |
| 10 | 2021 | 16 | |
| 11 | 2021 | 44 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 19 | |
| 15 | 2020 | 30 | |
| 16 | 2020 | 21 | |
| 17 | 2019 | 30 | |
| 18 | 2018 | 21 | |
| 19 | 2016 | 28 | |
| 20 | 2010 | 8 |
About Paolo Decuzzi
Paolo Decuzzi is a scholar working on Biomaterials, Modeling and Simulation, Pharmaceutical Science, Biomedical Engineering and Molecular Medicine, having authored 208 papers that have together received 10.8k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (66 papers), Nanoplatforms for cancer theranostics (29 papers), Cellular Mechanics and Interactions (21 papers), 3D Printing in Biomedical Research (21 papers), Graphene and Nanomaterials Applications (14 papers), Microfluidic and Bio-sensing Technologies (14 papers), Mathematical Biology Tumor Growth (14 papers) and RNA Interference and Gene Delivery (13 papers). The work is most often cited by research in Biomaterials (4.4k citations), Biomedical Engineering (5.0k citations), Pharmaceutical Science (617 citations), Surfaces, Coatings and Films (505 citations) and Modeling and Simulation (320 citations). Paolo Decuzzi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include M. Ferrari, Mauro Ferrari, Mauro Ferrari, Sei‐Young Lee, Ciro Chiappini, Francesco Gentile, Biana Godin, Takemi Tanaka, Roberto Palomba and Renata Pasqualini. Their work appears in journals such as ACS Nano, Biomaterials, ACS Applied Materials & Interfaces, Advanced Functional Materials and Journal of Controlled Release.
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.