Roberto Corradini

6.8k total citations
197 papers, 5.6k citations indexed

About

Roberto Corradini is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Roberto Corradini has authored 197 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Molecular Biology, 36 papers in Spectroscopy and 31 papers in Biomedical Engineering. Recurrent topics in Roberto Corradini's work include Advanced biosensing and bioanalysis techniques (101 papers), DNA and Nucleic Acid Chemistry (68 papers) and RNA Interference and Gene Delivery (44 papers). Roberto Corradini is often cited by papers focused on Advanced biosensing and bioanalysis techniques (101 papers), DNA and Nucleic Acid Chemistry (68 papers) and RNA Interference and Gene Delivery (44 papers). Roberto Corradini collaborates with scholars based in Italy, France and Greece. Roberto Corradini's co-authors include Rosangela Marchelli, Stefano Sforza, Arnaldo Dossena, Tullia Tedeschi, Alex Manicardi, Gianni Galaverna, Roberto Gambari, Alessandro Bertucci, Luisa De Cola and Alessia Finotti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Roberto Corradini

195 papers receiving 5.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Corradini Italy 42 3.3k 1.1k 1.1k 664 598 197 5.6k
Wenwan Zhong United States 39 2.6k 0.8× 1.3k 1.1× 682 0.6× 1.2k 1.8× 326 0.5× 116 4.5k
Patrick A. Limbach United States 45 5.8k 1.7× 964 0.8× 1.7k 1.5× 309 0.5× 214 0.4× 204 7.8k
Dihua Shangguan China 46 8.1k 2.4× 3.4k 3.0× 1.0k 0.9× 1.7k 2.5× 329 0.6× 139 10.2k
Urszula Derewenda United States 42 4.9k 1.5× 425 0.4× 760 0.7× 917 1.4× 463 0.8× 81 6.5k
Fredrik Westerlund Sweden 37 2.5k 0.8× 1.2k 1.1× 153 0.1× 809 1.2× 500 0.8× 163 4.8k
Anthony Romieu France 33 1.8k 0.5× 597 0.5× 836 0.8× 1.3k 2.0× 885 1.5× 115 3.6k
Ting Fu China 41 4.0k 1.2× 1.9k 1.7× 423 0.4× 1.3k 1.9× 327 0.5× 108 5.9k
Zhiqiang Ye China 40 3.2k 1.0× 485 0.4× 1.3k 1.2× 2.0k 3.1× 180 0.3× 105 6.6k
De‐Ming Kong China 47 4.4k 1.3× 1.5k 1.3× 723 0.7× 1.7k 2.6× 208 0.3× 211 6.1k
Qing Wang China 39 3.1k 1.0× 1.9k 1.7× 608 0.5× 1.2k 1.9× 146 0.2× 149 4.4k

Countries citing papers authored by Roberto Corradini

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Corradini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Corradini

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Corradini. A scholar is included among the top collaborators of Roberto Corradini 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 Roberto Corradini. Roberto Corradini 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
2.
Chamorro-García, Alejandro, Simone Fortunati, Marco Giannetto, et al.. (2024). Synthetic Protein-to-DNA Input Exchange for Protease Activity Detection Using CRISPR-Cas12a. Analytical Chemistry. 96(47). 18645–18654. 7 indexed citations
3.
Gasparello, Jessica, Chiara Papi, Roberto Gambari, et al.. (2023). Cationic Calix[4]arene Vectors to Efficiently Deliver AntimiRNA Peptide Nucleic Acids (PNAs) and miRNA Mimics. Pharmaceutics. 15(8). 2121–2121. 4 indexed citations
4.
Gasparello, Jessica, Chiara Papi, Laura Gambari, et al.. (2022). Treatment of Human Glioblastoma U251 Cells with Sulforaphane and a Peptide Nucleic Acid (PNA) Targeting miR-15b-5p: Synergistic Effects on Induction of Apoptosis. Molecules. 27(4). 1299–1299. 19 indexed citations
5.
Papi, Chiara, Jessica Gasparello, Alex Manicardi, et al.. (2022). Combined Treatment of Bronchial Epithelial Calu-3 Cells with Peptide Nucleic Acids Targeting miR-145-5p and miR-101-3p: Synergistic Enhancement of the Expression of the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) Gene. International Journal of Molecular Sciences. 23(16). 9348–9348. 13 indexed citations
8.
Fortunati, Simone, Marco Giannetto, Andrea Rozzi, Roberto Corradini, & Maria Careri. (2021). PNA-functionalized magnetic microbeads as substrates for enzyme-labelled voltammetric genoassay for DNA sensing applied to identification of GMO in food. Analytica Chimica Acta. 1153. 338297–338297. 7 indexed citations
9.
Fabbri, Enrica, Anna Tamanini, Jessica Gasparello, et al.. (2020). Treatment of human airway epithelial Calu-3 cells with a peptide-nucleic acid (PNA) targeting the microRNA miR-101-3p is associated with increased expression of the cystic fibrosis Transmembrane Conductance Regulator () gene. European Journal of Medicinal Chemistry. 209. 112876–112876. 20 indexed citations
11.
Cucinotta, Annamaria, Andrea Rozzi, Roberto Corradini, et al.. (2019). Hollow Core Inhibited Coupling Fibers for Biological Optical Sensing. Journal of Lightwave Technology. 37(11). 2598–2604. 11 indexed citations
12.
Fortunati, Simone, et al.. (2019). Single-Walled Carbon Nanotubes as Enhancing Substrates for PNA-Based Amperometric Genosensors. Sensors. 19(3). 588–588. 15 indexed citations
13.
Fabbri, Enrica, Anna Tamanini, Jessica Gasparello, et al.. (2017). A Peptide Nucleic Acid against MicroRNA miR-145-5p Enhances the Expression of the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) in Calu-3 Cells. Molecules. 23(1). 71–71. 39 indexed citations
14.
Prasetyanto, Eko Adi, Alessandro Bertucci, Dedy Septiadi, et al.. (2015). Breakable Hybrid Organosilica Nanocapsules for Protein Delivery. Angewandte Chemie International Edition. 55(10). 3323–3327. 137 indexed citations
15.
Prasetyanto, Eko Adi, Alessandro Bertucci, Dedy Septiadi, et al.. (2015). Breakable Hybrid Organosilica Nanocapsules for Protein Delivery. Angewandte Chemie. 128(10). 3384–3388. 19 indexed citations
16.
Brognara, Eleonora, Enrica Fabbri, Alex Manicardi, et al.. (2012). Peptide nucleic acids targeting miR-221 modulate p27Kip1 expression in breast cancer MDA-MB-231 cells. International Journal of Molecular Medicine. 30. 1 indexed citations
17.
Tedeschi, Tullia, Andrea Germini, Stefano Sforza, et al.. (2011). Real time RNAtranscription monitoring by Thiazole Orange (TO)-conjugated Peptide Nucleic Acid (PNA) probes: norovirus detection. Molecular BioSystems. 7(5). 1684–1692. 13 indexed citations
18.
Tedeschi, Tullia, Mariangela Bencivenni, Alex Manicardi, et al.. (2011). A PNA microarray for tomato genotyping. Molecular BioSystems. 7(6). 1902–1907. 8 indexed citations
19.
Tedeschi, Tullia, et al.. (2009). Arginine-based PNA microarrays for APOE genotyping. Molecular BioSystems. 5(11). 1323–1330. 20 indexed citations
20.
Mezzelani, Alessandra, Roberta Bordoni, Clarissa Consolandi, et al.. (2002). Ligation detection reaction and universal array for detection and identification of genetically modified organisms (GMOs). 14. 269–271. 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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