Barbara Dapas
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Advanced Cellulose Research Studies
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- RNA Interference and Gene Delivery 25
- Advanced biosensing and bioanalysis techniques 18
- DNA and Nucleic Acid Chemistry 10
- RNA and protein synthesis mechanisms 5
- Circular RNAs in diseases 4
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- MicroRNA in disease regulation 12
- Co-authors
- Gabriele Grassi (67 shared papers)Rossella Farra (47 shared papers)Mario Grassi (44 shared papers)Bruna Scaggiante (33 shared papers)Gabriele Pozzato (19 shared papers)Carlo Giansante (16 shared papers)Michela Abrami (16 shared papers)Fabrizio Zanconati (16 shared papers)
In The Last Decade
Barbara Dapas
73 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 112
- Biomaterials 327
- Cancer Research 265
- Molecular Medicine 87
- Pharmaceutical Science 100
- Molecular Biology 897
Countries citing papers authored by Barbara Dapas
This map shows the geographic impact of Barbara Dapas'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 Barbara Dapas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Dapas more than expected).
Fields of papers citing papers by Barbara Dapas
This network shows the impact of papers produced by Barbara Dapas. 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 Barbara Dapas. The network helps show where Barbara Dapas may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Dapas, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 137 | |
| 2 | 2015 | 109 | |
| 3 | 2007 | 63 | |
| 4 | 2011 | 59 | |
| 5 | 2008 | 59 | |
| 6 | 2017 | 59 | |
| 7 | 2016 | 53 | |
| 8 | 2011 | 52 | |
| 9 | 2015 | 44 | |
| 10 | 2007 | 44 | |
| 11 | 2020 | 42 | |
| 12 | 2010 | 40 | |
| 13 | 2011 | 40 | |
| 14 | 2009 | 39 | |
| 15 | 2024 | 38 | |
| 16 | 2010 | 36 | |
| 17 | 2009 | 36 | |
| 18 | 2003 | 34 | |
| 19 | 2015 | 30 | |
| 20 | 2015 | 29 |
About Barbara Dapas
Barbara Dapas is a scholar working on Molecular Biology, Cancer Research, Biomaterials, Organic Chemistry and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (25 papers), Advanced biosensing and bioanalysis techniques (18 papers), MicroRNA in disease regulation (12 papers), DNA and Nucleic Acid Chemistry (10 papers), Nanoparticle-Based Drug Delivery (9 papers), RNA and protein synthesis mechanisms (5 papers), Circular RNAs in diseases (4 papers) and Hydrogels: synthesis, properties, applications (4 papers). The work is most often cited by research in Biomaterials (327 citations), Cancer Research (265 citations), Molecular Medicine (87 citations), Pharmaceutical Science (100 citations) and Molecular Biology (897 citations). Barbara Dapas has collaborated with scholars based in Italy, Germany and Slovenia. Frequent co-authors include Gabriele Grassi, Rossella Farra, Mario Grassi, Bruna Scaggiante, Gabriele Pozzato, Carlo Giansante, Michela Abrami, Fabrizio Zanconati, Federica Tonon and Nicola Fiotti. Their work appears in journals such as International Journal of Pharmaceutics, Biochimie, International Journal of Molecular Sciences, Pharmaceutics and Current Drug Metabolism.
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.