Paolo Raffa

537 total citations
12 papers, 335 citations indexed

About

Paolo Raffa is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Paolo Raffa has authored 12 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Paolo Raffa's work include Corneal Surgery and Treatments (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Muscle Physiology and Disorders (3 papers). Paolo Raffa is often cited by papers focused on Corneal Surgery and Treatments (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Muscle Physiology and Disorders (3 papers). Paolo Raffa collaborates with scholars based in Italy, United Kingdom and China. Paolo Raffa's co-authors include Anna Urciuolo, Enzo Di Iorio, Giorgio Palù, Nicola Elvassore, Valentina Scattolini, Paolo De Coppi, Stefano Salmaso, Laura Brigo, Michael Magnussen and Monica Giomo and has published in prestigious journals such as Nucleic Acids Research, Stem Cells and Applied Sciences.

In The Last Decade

Paolo Raffa

11 papers receiving 332 citations

Peers

Paolo Raffa
Zheng Zhong United States
Albert Gao United States
Lu Feng China
Yazhi Sun United States
Josephine Lembong United States
Stephen Swioklo United Kingdom
Cemile Kilic Bektas United States
Zheng Zhong United States
Paolo Raffa
Citations per year, relative to Paolo Raffa Paolo Raffa (= 1×) peers Zheng Zhong

Countries citing papers authored by Paolo Raffa

Since Specialization
Citations

This map shows the geographic impact of Paolo Raffa'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 Raffa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Raffa more than expected).

Fields of papers citing papers by Paolo Raffa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paolo Raffa. 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 Raffa. The network helps show where Paolo Raffa may publish in the future.

Co-authorship network of co-authors of Paolo Raffa

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Raffa. A scholar is included among the top collaborators of Paolo Raffa 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 Paolo Raffa. Paolo Raffa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Urciuolo, Anna, et al.. (2021). Three-dimensional in vitro models of neuromuscular tissue. Neural Regeneration Research. 17(4). 759–759. 7 indexed citations
2.
Raffa, Paolo, Valentina Scattolini, M Gerli, et al.. (2021). Decellularized Skeletal Muscles Support the Generation of In Vitro Neuromuscular Tissue Models. Applied Sciences. 11(20). 9485–9485.
3.
Raffa, Paolo, Valentina Scattolini, M Gerli, et al.. (2020). Decellularized skeletal muscles display neurotrophic effects in three-dimensional organotypic cultures. Stem Cells Translational Medicine. 9(10). 1233–1243. 12 indexed citations
4.
Urciuolo, Anna, Paolo Raffa, Valentina Scattolini, et al.. (2020). Intravital three-dimensional bioprinting. Nature Biomedical Engineering. 4(9). 901–915. 168 indexed citations
5.
Trevisan, Marta, Gualtiero Alvisi, V. Barbaro, et al.. (2018). Oral Mucosa-Derived Induced Pluripotent Stem Cells from Patients with Ectrodactyly-Ectodermal Dysplasia-Clefting Syndrome. Cellular Reprogramming. 20(4). 215–224. 6 indexed citations
6.
Lombardo, Marco, et al.. (2016). Novel Technique of Transepithelial Corneal Cross-Linking Using Iontophoresis in Progressive Keratoconus. Journal of Ophthalmology. 2016. 1–11. 25 indexed citations
7.
Artusi, Sara, Rosalba Perrone, Sara Lago, et al.. (2016). Visualization of DNA G-quadruplexes in herpes simplex virus 1-infected cells. Nucleic Acids Research. 44(21). gkw968–gkw968. 70 indexed citations
8.
Barbaro, V., Claudia Del Vecchio, Stefano Ferrari, et al.. (2016). Correction of Mutant p63 in EEC Syndrome Using siRNA Mediated Allele-Specific Silencing Restores Defective Stem Cell Function. Stem Cells. 34(6). 1588–1600. 18 indexed citations
9.
Parmeggiani, Francesco, V. Barbaro, Paolo Raffa, et al.. (2016). Novel Variants of RPGR in X-Linked Retinitis Pigmentosa Families and Genotype-Phenotype Correlation. European Journal of Ophthalmology. 27(2). 240–248. 5 indexed citations
10.
Barbaro, V., Paolo Raffa, Stefano Ferrari, et al.. (2016). Personalized Stem Cell Therapy to Correct Corneal Defects Due to a Unique Homozygous-Heterozygous Mosaicism of Ectrodactyly-Ectodermal Dysplasia-Clefting Syndrome. Stem Cells Translational Medicine. 5(8). 1098–1105. 11 indexed citations
11.
Dt, Purtilo, et al.. (1981). Diverse familial malignant tumors and Epstein-Barr virus.. PubMed. 41(11 Pt 1). 4248–52. 12 indexed citations
12.
Raffa, Paolo, et al.. (1973). [Anhidrotic ectodermal dysplasia. Clinical case report].. PubMed. 25(11). 512–21. 1 indexed citations

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.

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