Gianfranco Pasut
- Biomaterials top 0.2%
- Nanoparticle-Based Drug Delivery 32
- Pharmaceutical Science top 0.5%
- Surfaces, Coatings and Films top 1%
- Molecular Medicine top 1%
- Polymers and Plastics top 2%
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- RNA Interference and Gene Delivery 23
- Protein purification and stability 9
- Glycosylation and Glycoproteins Research 7
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- Monoclonal and Polyclonal Antibodies Research 14
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- Peptidase Inhibition and Analysis 12
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- Nanoplatforms for cancer theranostics 8
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- Blood properties and coagulation 7
Gianfranco Pasut
105 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Biomaterials 2.7k
- Pharmaceutical Science 550
- Surfaces, Coatings and Films 463
- Molecular Medicine 301
- Polymers and Plastics 730
Countries citing papers authored by Gianfranco Pasut
This map shows the geographic impact of Gianfranco Pasut'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 Gianfranco Pasut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianfranco Pasut more than expected).
Fields of papers citing papers by Gianfranco Pasut
This network shows the impact of papers produced by Gianfranco Pasut. 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 Gianfranco Pasut. The network helps show where Gianfranco Pasut may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gianfranco Pasut, 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 | 2026 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 26 | |
| 5 | 2023 | 8 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 71 | |
| 8 | 2020 | 1 | |
| 9 | 2016 | 20 | |
| 10 | 2014 | 2 | |
| 11 | 2012 | 68 | |
| 12 | 2012 | 8 | |
| 13 | 2011 | 29 | |
| 14 | 2010 | 72 | |
| 15 | 2010 | 10 | |
| 16 | 2009 | 33 | |
| 17 | 2008 | 38 | |
| 18 | Second-Generation Pharmaceutical Proteins-EUFEPS Workshop on Optimizing Biotech Medicines. | 2007 | 1 |
| 19 | 2004 | 37 | |
| 20 | 2003 | 23 |
About Gianfranco Pasut
Gianfranco Pasut is a scholar working on Biomaterials, Pharmaceutical Science, Molecular Medicine, Hepatology and Radiology, Nuclear Medicine and Imaging, having authored 109 papers that have together received 7.1k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (32 papers), RNA Interference and Gene Delivery (23 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Peptidase Inhibition and Analysis (12 papers), Protein purification and stability (9 papers), Nanoplatforms for cancer theranostics (8 papers), Glycosylation and Glycoproteins Research (7 papers) and Blood properties and coagulation (7 papers). The work is most often cited by research in Biomaterials (2.7k citations), Pharmaceutical Science (550 citations), Surfaces, Coatings and Films (463 citations), Molecular Medicine (301 citations) and Polymers and Plastics (730 citations). Gianfranco Pasut has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Francesco M. Veronese, F. M. Veronese, Anna Mero, Oddone Schiavon, Antonella Grigoletto, Lisa Dalla Via, Mauro Sergi, Tacey X. Viegas, Zhihao Fang and A. Guiotto. Their work appears in journals such as Journal of Controlled Release, Bioconjugate Chemistry, Biomacromolecules, Polymer Chemistry and PLoS ONE.
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.