Paolo A. Netti
- Biomaterials top 0.05%
- Electrospun Nanofibers in Biomedical Applications 43
- Nanoparticle-Based Drug Delivery 41
- Biomedical Engineering top 0.05%
- 3D Printing in Biomedical Research 96
- Bone Tissue Engineering Materials 51
- Microfluidic and Bio-sensing Technologies 48
- Microfluidic and Capillary Electrophoresis Applications 36
- Pharmaceutical Science top 0.2%
- Molecular Medicine top 0.5%
- Cell Biology top 0.2%
- Cellular Mechanics and Interactions 74
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- Advanced biosensing and bioanalysis techniques 28
- Co-authors
- Filippo CausaRakesh K. JainMaurizio VentreDavid A. BerkLuigi AmbrosioFrancesco UrciuoloGiorgia ImparatoRaffaele Vecchione
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Paolo A. Netti
483 papers receiving 17.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Biomaterials 4.7k
- Biomedical Engineering 8.6k
- Pharmaceutical Science 1.1k
- Molecular Medicine 818
- Cell Biology 2.3k
Countries citing papers authored by Paolo A. Netti
This map shows the geographic impact of Paolo A. Netti'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 A. Netti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo A. Netti more than expected).
Fields of papers citing papers by Paolo A. Netti
This network shows the impact of papers produced by Paolo A. Netti. 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 A. Netti. The network helps show where Paolo A. Netti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paolo A. Netti, 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 | 2024 | 3 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 8 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 26 | |
| 12 | 2019 | 10 | |
| 13 | 2019 | 8 | |
| 14 | 2018 | 31 | |
| 15 | 2014 | 17 | |
| 16 | 2013 | 4 | |
| 17 | 2012 | 13 | |
| 18 | 2012 | 142 | |
| 19 | 2012 | 98 | |
| 20 | 2011 | 49 |
About Paolo A. Netti
Paolo A. Netti is a scholar working on Biomaterials, Biomedical Engineering and Cell Biology, having authored 494 papers that have together received 17.9k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (96 papers), Cellular Mechanics and Interactions (74 papers), Bone Tissue Engineering Materials (51 papers), Microfluidic and Bio-sensing Technologies (48 papers), Electrospun Nanofibers in Biomedical Applications (43 papers), Nanoparticle-Based Drug Delivery (41 papers), Microfluidic and Capillary Electrophoresis Applications (36 papers) and Advanced biosensing and bioanalysis techniques (28 papers). The work is most often cited by research in Biomaterials (4.7k citations), Biomedical Engineering (8.6k citations) and Pharmaceutical Science (1.1k citations). Paolo A. Netti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Filippo Causa, Rakesh K. Jain, Maurizio Ventre, David A. Berk, Luigi Ambrosio, Francesco Urciuolo, Giorgia Imparato, Raffaele Vecchione, Daniela Guarnieri and Aurelio Salerno. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.