Luca Perabò

1.5k total citations
20 papers, 1.2k citations indexed

About

Luca Perabò is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Luca Perabò has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 17 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Luca Perabò's work include Virus-based gene therapy research (18 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers) and RNA Interference and Gene Delivery (9 papers). Luca Perabò is often cited by papers focused on Virus-based gene therapy research (18 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers) and RNA Interference and Gene Delivery (9 papers). Luca Perabò collaborates with scholars based in Germany, United Kingdom and United States. Luca Perabò's co-authors include Michael Hallek, Hildegard Büning, David M. Kofler, Anne Girod, Jan Endell, Jörg Enssle, Oliver Coutelle, Clemens‐Martin Wendtner, Martin U. Ried and Andrew H. Baker and has published in prestigious journals such as Blood, Journal of Virology and Virology.

In The Last Decade

Luca Perabò

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luca Perabò Germany 16 980 934 199 140 134 20 1.2k
Susannah Patarroyo‐White United States 12 844 0.9× 746 0.8× 341 1.7× 125 0.9× 128 1.0× 17 1.1k
Rénald Gilbert Canada 24 727 0.7× 1.1k 1.2× 260 1.3× 154 1.1× 216 1.6× 67 1.5k
Julio Sanmiguel United States 21 1.1k 1.2× 1.1k 1.2× 263 1.3× 294 2.1× 264 2.0× 28 1.7k
Kenneth H. Warrington United States 17 1.5k 1.5× 1.4k 1.5× 277 1.4× 229 1.6× 239 1.8× 20 1.9k
Helena Costa Verdera France 7 535 0.5× 917 1.0× 219 1.1× 104 0.7× 87 0.6× 10 1.2k
Dong‐Soo Im South Korea 16 540 0.6× 845 0.9× 232 1.2× 68 0.5× 137 1.0× 30 1.3k
Baozheng Li United States 16 1.2k 1.2× 1.3k 1.3× 167 0.8× 149 1.1× 287 2.1× 24 1.7k
Margaret Humphries United States 10 863 0.9× 893 1.0× 286 1.4× 155 1.1× 156 1.2× 15 1.3k
Leszek Lisowski Australia 25 1.2k 1.2× 1.7k 1.8× 252 1.3× 206 1.5× 180 1.3× 80 2.3k
Jonathan D. Finn United States 18 1.2k 1.2× 1.2k 1.3× 630 3.2× 117 0.8× 141 1.1× 36 1.8k

Countries citing papers authored by Luca Perabò

Since Specialization
Citations

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

Fields of papers citing papers by Luca Perabò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Perabò

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Perabò. A scholar is included among the top collaborators of Luca Perabò 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 Luca Perabò. Luca Perabò 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.
Coutelle, Oliver, et al.. (2011). Successful target cell transduction of capsid-engineered rAAV vectors requires clathrin-dependent endocytosis. Gene Therapy. 19(2). 210–218. 38 indexed citations
2.
Märsch, Stephan, Anke Huber, Michael Hallek, Hildegard Büning, & Luca Perabò. (2010). A Novel Directed Evolution Method to Enhance Cell-Type Specificity of Adeno-Associated Virus Vectors. Combinatorial Chemistry & High Throughput Screening. 13(9). 807–812. 9 indexed citations
3.
Pozzoli, Ombretta, Anke Huber, Daniele Avitabile, et al.. (2010). Gene transfer into human cord blood−derived CD34+ cells by adeno-associated viral vectors. Experimental Hematology. 38(9). 707–717. 16 indexed citations
4.
Huber, Anke, et al.. (2009). Optimization of stealth adeno-associated virus vectors by randomization of immunogenic epitopes. Virology. 397(1). 167–175. 46 indexed citations
5.
Bouças, Jorge, Anke Huber, Luca Perabò, et al.. (2009). Engineering adeno‐associated virus serotype 2‐based targeting vectors using a new insertion site‐position 453‐and single point mutations. The Journal of Gene Medicine. 11(12). 1103–1113. 43 indexed citations
6.
7.
Kunze, Melanie, et al.. (2009). Efficient gene transfer to periodontal ligament cells and human gingival fibroblasts by adeno-associated virus vectors. Journal of Dentistry. 37(7). 502–508. 13 indexed citations
8.
Büning, Hildegard, et al.. (2008). Recent developments in adeno‐associated virus vector technology. The Journal of Gene Medicine. 10(7). 717–733. 129 indexed citations
9.
Büning, Hildegard, Luca Perabò, Anke Huber, Stephan Märsch, & Michael Hallek. (2008). Artificial Evolution with Adeno-Associated Viral Libraries. Combinatorial Chemistry & High Throughput Screening. 11(2). 118–126. 11 indexed citations
10.
White, Katie, Hildegard Büning, Hanna Janicki, et al.. (2007). Engineering adeno-associated virus 2 vectors for targeted gene delivery to atherosclerotic lesions. Gene Therapy. 15(6). 443–451. 33 indexed citations
11.
Perabò, Luca, Kathryn White, Jan Endell, et al.. (2006). Heparan Sulfate Proteoglycan Binding Properties of Adeno-Associated Virus Retargeting Mutants and Consequences for Their In Vivo Tropism. Journal of Virology. 80(14). 7265–7269. 104 indexed citations
12.
Hacker, Ulrich, David M. Kofler, Tobias Herold, et al.. (2005). Adeno-associated virus serotypes 1 to 5 mediated tumor cell directed gene transfer and improvement of transduction efficiency. The Journal of Gene Medicine. 7(11). 1429–1438. 51 indexed citations
13.
Perabò, Luca, et al.. (2005). Combinatorial engineering of a gene therapy vector: directed evolution of adeno‐associated virus. The Journal of Gene Medicine. 8(2). 155–162. 106 indexed citations
14.
Perabò, Luca, Jan Endell, Kristin Leike, et al.. (2005). Green Fluorescent Protein-Tagged Adeno-Associated Virus Particles Allow the Study of Cytosolic and Nuclear Trafficking. Journal of Virology. 79(18). 11776–11787. 113 indexed citations
15.
Perabò, Luca, Hildegard Büning, David M. Kofler, et al.. (2003). In vitro selection of viral vectors with modified tropism: the adeno-associated virus display. Molecular Therapy. 8(1). 151–157. 172 indexed citations
16.
Büning, Hildegard, et al.. (2003). Receptor targeting of adeno-associated virus vectors. Gene Therapy. 10(14). 1142–1151. 92 indexed citations
17.
Girod, Anne, Luca Perabò, Dieter Edbauer, et al.. (2003). Genetic modifications of the adeno-associated virus type 2 capsid reduce the affinity and the neutralizing effects of human serum antibodies. Gene Therapy. 10(26). 2139–2147. 103 indexed citations
18.
Perabò, Luca. (2003). ADENO-ASSOCIATED VIRUS DISPLAY: IN VITRO EVOLUTION OF AAV RETARGETED VECTORS. 2 indexed citations
19.
Büning, Hildegard, Stuart A. Nicklin, Luca Perabò, Michael Hallek, & Andrew H. Baker. (2003). AAV-based gene transfer.. PubMed. 5(4). 367–75. 41 indexed citations
20.
Wendtner, Clemens‐Martin, David M. Kofler, Hans Theiß, et al.. (2002). Efficient gene transfer of CD40 ligand into primary B-CLL cells using recombinant adeno-associated virus (rAAV) vectors. Blood. 100(5). 1655–1661. 65 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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