Laura De Rosa
- Cell Biology top 5%
- Skin and Cellular Biology Research 14
- melanin and skin pigmentation 3
- Cellular Mechanics and Interactions 3
- Biotechnology top 10%
- Dermatology top 10%
-
- Hedgehog Signaling Pathway Studies 3
- CRISPR and Genetic Engineering 3
-
- Cancer-related Molecular Pathways 5
-
- Silk-based biomaterials and applications 4
-
- Autoimmune Bullous Skin Diseases 3
- Co-authors
- Michele De LucaCaterina MisseroDario AntoniniMonia Teresa RussoLuigi Del VecchioGraziella PellegriniMarisa GorreseJohann Bauer
- Cited by
- Cell BiologyBiotechnologyDermatology
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Laura De Rosa
29 papers receiving 764 citations
Peers
Comparison fields: 5 of 79
- Cell Biology 279
- Biotechnology 85
- Dermatology 60
- Molecular Biology 445
- Cancer Research 94
Countries citing papers authored by Laura De Rosa
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
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
The 25 scholars most cited alongside Laura De Rosa, 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 | 2024 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 20 | |
| 11 | 2019 | 26 | |
| 12 | 2019 | 59 | |
| 13 | 2018 | 52 | |
| 14 | 2016 | 27 | |
| 15 | 2013 | 108 | |
| 16 | 2012 | 63 | |
| 17 | 2012 | 61 | |
| 18 | 2010 | 107 | |
| 19 | 2009 | 34 | |
| 20 | 2008 | 20 |
About Laura De Rosa
Laura De Rosa is a scholar working on Cell Biology, Business and International Management and Biotechnology, having authored 30 papers that have together received 770 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (14 papers), Cancer-related Molecular Pathways (5 papers), Silk-based biomaterials and applications (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Autoimmune Bullous Skin Diseases (3 papers), melanin and skin pigmentation (3 papers), Cellular Mechanics and Interactions (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cell Biology (279 citations), Biotechnology (85 citations) and Dermatology (60 citations). Laura De Rosa has collaborated with scholars based in Italy, United States and Netherlands. Frequent 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. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.