Carolina Iodice

1.1k total citations
10 papers, 675 citations indexed

About

Carolina Iodice is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Carolina Iodice has authored 10 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Immunology. Recurrent topics in Carolina Iodice's work include Retinal Development and Disorders (8 papers), Virus-based gene therapy research (6 papers) and CRISPR and Genetic Engineering (4 papers). Carolina Iodice is often cited by papers focused on Retinal Development and Disorders (8 papers), Virus-based gene therapy research (6 papers) and CRISPR and Genetic Engineering (4 papers). Carolina Iodice collaborates with scholars based in Italy, United Kingdom and Ireland. Carolina Iodice's co-authors include Alberto Auricchio, Pasqualina Colella, Ivana Trapani, Enrico Maria Surace, Settimio Rossi, Massimo Giunti, Andrea Sommella, Mariacarmela Allocca, Giulia Cesi and Elena Marrocco and has published in prestigious journals such as Journal of Virology, The American Journal of Human Genetics and Human Molecular Genetics.

In The Last Decade

Carolina Iodice

10 papers receiving 668 citations

Peers

Carolina Iodice

GENET

OPHTH

CMN

Ivana Trapani Italy

Andrea Sommella Italy

Anna Manfredi Italy

Alexandra Mendes-Madeira France

Seok-Hong Min United States

Sarah McCague United States

Seok Hong Min United States

Wenhan Yu China

Rajani Shelke United States

Prateek K. Buch United Kingdom

Ivana Trapani Italy

Carolina Iodice

882 ×1.4

369 ×1.2

GENET

226 ×1.6

OPHTH

165 ×1.3

CMN

66 ×1.3

Citations per year, relative to Carolina Iodice Carolina Iodice (= 1×) peers Ivana Trapani

Countries citing papers authored by Carolina Iodice

Since Specialization

Citations

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

Fields of papers citing papers by Carolina Iodice

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Iodice

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

All Works

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10 of 10 papers shown

Tornabene, Patrizia, Ivana Trapani, Elena Marrocco, et al.. (2021). Inclusion of a degron reduces levels of undesired inteins after AAV-mediated protein trans-splicing in the retina. Molecular Therapy — Methods & Clinical Development. 23. 448–459. 19 indexed citations

Patrizi, Clarissa, Daniela Benati, Carolina Iodice, et al.. (2021). Allele-specific editing ameliorates dominant retinitis pigmentosa in a transgenic mouse model. The American Journal of Human Genetics. 108(2). 295–308. 36 indexed citations

Maddalena, Andrea, Pia Giovannelli, Paola Tiberi, et al.. (2018). High-Throughput Screening Identifies Kinase Inhibitors That Increase Dual Adeno-Associated Viral Vector Transduction In Vitro and in Mouse Retina. Human Gene Therapy. 29(8). 886–901. 11 indexed citations

Trapani, Ivana, Pasqualina Colella, Carolina Iodice, et al.. (2015). Improved dual AAV vectors with reduced expression of truncated proteins are safe and effective in the retina of a mouse model of Stargardt disease. Human Molecular Genetics. 24(23). 6811–6825. 67 indexed citations

Colella, Pasqualina, Ivana Trapani, Giulia Cesi, et al.. (2014). Efficient gene delivery to the cone-enriched pig retina by dual AAV vectors. Gene Therapy. 21(4). 450–456. 80 indexed citations

Trapani, Ivana, Pasqualina Colella, Andrea Sommella, et al.. (2013). Effective delivery of large genes to the retina by dual AAV vectors. EMBO Molecular Medicine. 6(2). 194–211. 204 indexed citations

Colella, Pasqualina, Carolina Iodice, Umberto Di Vicino, et al.. (2011). Non-erythropoietic erythropoietin derivatives protect from light-induced and genetic photoreceptor degeneration. Human Molecular Genetics. 20(11). 2251–2262. 34 indexed citations

Allocca, Mariacarmela, Anna Manfredi, Carolina Iodice, Umberto Di Vicino, & Alberto Auricchio. (2011). AAV-Mediated Gene Replacement, Either Alone or in Combination with Physical and Pharmacological Agents, Results in Partial and Transient Protection from Photoreceptor Degeneration Associated with βPDE Deficiency. Investigative Ophthalmology & Visual Science. 52(8). 5713–5713. 33 indexed citations

Allocca, Mariacarmela, Claudio Mussolino, Maria García‐Hoyos, et al.. (2007). Novel Adeno-Associated Virus Serotypes Efficiently Transduce Murine Photoreceptors. Journal of Virology. 81(20). 11372–11380. 189 indexed citations

10.

Bellizzi, Vincenzo, Biagio Di Iorio, Pasquale Zamboli, et al.. (2004). [Daily nutrient intake in hemodialysis].. PubMed. 20(6). 592–601. 2 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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