Laura De Rosa

1.9k total citations
30 papers, 770 citations indexed

About

Laura De Rosa is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Laura De Rosa has authored 30 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Cell Biology and 5 papers in Surgery. Recurrent topics in Laura De Rosa's work include Skin and Cellular Biology Research (14 papers), Cancer-related Molecular Pathways (5 papers) and Silk-based biomaterials and applications (4 papers). Laura De Rosa is often cited by papers focused on Skin and Cellular Biology Research (14 papers), Cancer-related Molecular Pathways (5 papers) and Silk-based biomaterials and applications (4 papers). Laura De Rosa collaborates with scholars based in Italy, United States and Netherlands. Laura De Rosa's co-authors include Michele De Luca, Caterina Missero, Dario Antonini, Monia Teresa Russo, Luigi Del Vecchio, Graziella Pellegrini, Marisa Gorrese, Johann Bauer, Giorgio De Santis and Elena Enzo and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Laura De Rosa

29 papers receiving 764 citations

Peers

Laura De Rosa
Cornelia Kröger United States
Ngon T. Nguyen United States
Hanson H. Zhen United States
Pierre Y. Desprez United States
Andrzej Steplewski United States
Louis H. Bookbinder United States
G H S Ashton United Kingdom
Cornelia Kröger United States
Laura De Rosa
Citations per year, relative to Laura De Rosa Laura De Rosa (= 1×) peers Cornelia Kröger

Countries citing papers authored by Laura De Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Laura De Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura De Rosa. 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 Laura De Rosa. The network helps show where Laura De Rosa may publish in the future.

Co-authorship network of co-authors of Laura De Rosa

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

All Works

20 of 20 papers shown
1.
Rinaldo, Serena, Maria Carmela Latella, Elena Enzo, et al.. (2024). AlPaCas: allele-specific CRISPR gene editing through a protospacer-adjacent-motif (PAM) approach. Nucleic Acids Research. 52(W1). W29–W38. 4 indexed citations
2.
Romano, Oriana, et al.. (2024). A cellular disease model toward gene therapy of TGM1-dependent lamellar ichthyosis. Molecular Therapy — Methods & Clinical Development. 32(3). 101311–101311. 2 indexed citations
3.
Gaddi, Diego, Marco Turati, Giulio Leone, et al.. (2024). Clinical outcomes and complications of S53P4 bioactive glass in chronic osteomyelitis and septic non-unions: a retrospective single-center study. European Journal of Clinical Microbiology & Infectious Diseases. 43(3). 489–499. 4 indexed citations
4.
Rosa, Laura De, Giulio Leone, Michael Belingheri, et al.. (2024). Orthoplastic Management of Lower Limb Traumas. Annals of Plastic Surgery. 93(4). 496–500. 1 indexed citations
5.
Enzo, Elena, Laura De Rosa, Federica Consiglio, et al.. (2023). Allele-specific CRISPR-Cas9 editing of dominant epidermolysis bullosa simplex in human epidermal stem cells. Molecular Therapy. 32(2). 372–383. 11 indexed citations
6.
Conti, Lorenzo, Marco Baia, Sandro Pasquali, et al.. (2022). Contemporary role of amputation for patients with extremity soft tissue sarcoma. European Journal of Surgical Oncology. 49(5). 934–940. 3 indexed citations
7.
Rosa, Laura De, et al.. (2022). Stairways to Advanced Therapies for Epidermolysis Bullosa. Cold Spring Harbor Perspectives in Biology. 15(4). a041229–a041229. 11 indexed citations
8.
Gaddi, Diego, Massimiliano Piatti, Andrea Poli, et al.. (2022). Non-Union Scoring System (NUSS): Is It Enough in Clinical Practice?. Indian Journal of Orthopaedics. 57(1). 137–145. 4 indexed citations
9.
Wagner, Roland N., Josefina Piñón Hofbauer, Verena Wally, et al.. (2021). Epigenetic and metabolic regulation of epidermal homeostasis. Experimental Dermatology. 30(8). 1009–1022. 17 indexed citations
10.
Rosa, Laura De, Elena Enzo, Christine Bodemer, et al.. (2021). Hologene 5: A Phase II/III Clinical Trial of Combined Cell and Gene Therapy of Junctional Epidermolysis Bullosa. Frontiers in Genetics. 12. 705019–705019. 20 indexed citations
11.
Rosa, Laura De, et al.. (2019). Toward Combined Cell and Gene Therapy for Genodermatoses. Cold Spring Harbor Perspectives in Biology. 12(5). a035667–a035667. 26 indexed citations
12.
Rosa, Laura De, Giorgio De Santis, Giovanni Pellacani, et al.. (2019). Laminin 332-Dependent YAP Dysregulation Depletes Epidermal Stem Cells in Junctional Epidermolysis Bullosa. Cell Reports. 27(7). 2036–2049.e6. 59 indexed citations
13.
Cogan, Jon, Yingping Hou, Vitali Alexeev, et al.. (2018). Gentamicin inducesLAMB3nonsense mutation readthrough and restores functional laminin 332 in junctional epidermolysis bullosa. Proceedings of the National Academy of Sciences. 115(28). E6536–E6545. 52 indexed citations
14.
Latella, Maria Carmela, Fabienne Cocchiarella, Laura De Rosa, et al.. (2016). Correction of Recessive Dystrophic Epidermolysis Bullosa by Transposon-Mediated Integration of COL7A1 in Transplantable Patient-Derived Primary Keratinocytes. Journal of Investigative Dermatology. 137(4). 836–844. 27 indexed citations
15.
Rosa, Laura De, Sonia Carulli, Fabienne Cocchiarella, et al.. (2013). Long-Term Stability and Safety of Transgenic Cultured Epidermal Stem Cells in Gene Therapy of Junctional Epidermolysis Bullosa. Stem Cell Reports. 2(1). 1–8. 108 indexed citations
16.
Ferone, Giustina, Helen A. Thomason, Dario Antonini, et al.. (2012). p63 control of desmosome gene expression and adhesion is compromised in AEC syndrome. Human Molecular Genetics. 22(3). 531–543. 63 indexed citations
17.
Ferone, Giustina, Helen A. Thomason, Dario Antonini, et al.. (2012). Mutant p63 causes defective expansion of ectodermal progenitor cells and impaired FGF signalling in AEC syndrome. EMBO Molecular Medicine. 4(3). 192–205. 61 indexed citations
18.
Antonini, Dario, Monia Teresa Russo, Laura De Rosa, et al.. (2010). Transcriptional Repression of miR-34 Family Contributes to p63-Mediated Cell Cycle Progression in Epidermal Cells. Journal of Investigative Dermatology. 130(5). 1249–1257. 107 indexed citations
19.
Rosa, Laura De, Dario Antonini, Giustina Ferone, et al.. (2009). p63 Suppresses Non-epidermal Lineage Markers in a Bone Morphogenetic Protein-dependent Manner via Repression of Smad7. Journal of Biological Chemistry. 284(44). 30574–30582. 34 indexed citations
20.
Antonini, Dario, Monica Dentice, Laura De Rosa, et al.. (2008). Tprg, a Gene Predominantly Expressed in Skin, Is a Direct Target of the Transcription Factor p63. Journal of Investigative Dermatology. 128(7). 1676–1685. 20 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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