Stefania Pagliari
- Biomedical Engineering top 5%
- Cell Biology top 1%
- Molecular Biology top 10%
- Biomaterials top 2%
- Surgery top 10%
- Co-authors
- Giancarlo ForteFabiana De MartinoAna Rubina PerestreloVladimír VinarskýEnrico TraversaPaolo Di NardoFrancesca PagliariSilvia Licoccia
- Topics
- Tissue Engineering and Regenerative Medicine (17 papers)Electrospun Nanofibers in Biomedical Applications (15 papers)Cellular Mechanics and Interactions (8 papers)
In The Last Decade
Stefania Pagliari
33 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Biomedical Engineering 889
- Cell Biology 879
- Molecular Biology 788
- Biomaterials 575
- Surgery 527
Countries citing papers authored by Stefania Pagliari
This map shows the geographic impact of Stefania Pagliari'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 Stefania Pagliari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Pagliari more than expected).
Fields of papers citing papers by Stefania Pagliari
This network shows the impact of papers produced by Stefania Pagliari. 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 Stefania Pagliari. The network helps show where Stefania Pagliari may publish in the future.
Co-authorship network of co-authors of Stefania Pagliari
This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Pagliari. A scholar is included among the top collaborators of Stefania Pagliari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefania Pagliari. Stefania Pagliari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 3 | |
| 3 | 21 | |
| 4 | 78 | |
| 5 | Cellular Mechanotransduction: From Tension to Functionbreakdown → | 670 |
| 6 | YAP regulates cell mechanics by controlling focal adhesion assemblybreakdown → | 454 |
| 7 | 25 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 8 | |
| 12 | 20 | |
| 13 | 91 | |
| 14 | 45 | |
| 15 | 12 | |
| 16 | 30 | |
| 17 | 168 | |
| 18 | 22 | |
| 19 | Cardiac and Mesenchymal Stem Cell Growth and Selective Differentiation on Three Dimensional Bioerodable Scaffolds | 1 |
| 20 | 78 |
About Stefania Pagliari
Stefania Pagliari is a scholar working on Biomaterials, Cell Biology and Genetics, having authored 34 papers that have together received 2.7k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (17 papers), Electrospun Nanofibers in Biomedical Applications (15 papers) and Cellular Mechanics and Interactions (8 papers). The work is most often cited by research in Cell Biology (879 citations), Biomaterials (575 citations) and Immunology and Allergy (128 citations). Stefania Pagliari has collaborated with scholars based in Italy, Japan and Czechia. Frequent co-authors include Giancarlo Forte, Fabiana De Martino, Ana Rubina Perestrelo, Vladimír Vinarský, Enrico Traversa, Paolo Di Nardo, Francesca Pagliari, Silvia Licoccia, Giorgia Nardone and Corrado Mandoli. Their work appears in journals such as Advanced Materials, Nature Communications and ACS Nano.
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.