Danilo Licastro

4.0k total citations · 1 hit paper
93 papers, 2.3k citations indexed

About

Danilo Licastro is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Danilo Licastro has authored 93 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 18 papers in Cancer Research and 11 papers in Plant Science. Recurrent topics in Danilo Licastro's work include MicroRNA in disease regulation (12 papers), Extracellular vesicles in disease (12 papers) and RNA Research and Splicing (9 papers). Danilo Licastro is often cited by papers focused on MicroRNA in disease regulation (12 papers), Extracellular vesicles in disease (12 papers) and RNA Research and Splicing (9 papers). Danilo Licastro collaborates with scholars based in Italy, United States and United Kingdom. Danilo Licastro's co-authors include Vittorio Venturi, Simeone Dal Monego, Bryan Bollman, Robert Mikesell, Claudia Cantoni, Laura Piccio, Bruno Stefanon, Miguel Cámara, Sandy Sgorlon and Lúcia Mendonça‐Previato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Danilo Licastro

87 papers receiving 2.2k citations

Hit Papers

SARS-CoV-2 escape from a ... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danilo Licastro 1.0k 423 358 300 273 93 2.3k
Christian Schwerk 1.2k 1.1× 400 0.9× 408 1.1× 275 0.9× 233 0.9× 82 2.6k
Xiang Zhou 1.1k 1.1× 240 0.6× 326 0.9× 145 0.5× 293 1.1× 91 2.4k
Ming Duan 808 0.8× 246 0.6× 370 1.0× 137 0.5× 390 1.4× 52 1.6k
M. Inmaculada Barrasa 2.5k 2.5× 170 0.4× 323 0.9× 411 1.4× 379 1.4× 45 3.7k
Isao Nagano 739 0.7× 435 1.0× 240 0.7× 653 2.2× 168 0.6× 113 3.1k
Jinliang Li 1.5k 1.5× 120 0.3× 194 0.5× 106 0.4× 172 0.6× 101 2.5k
Toshiro K. Ohsumi 1.8k 1.7× 988 2.3× 936 2.6× 265 0.9× 675 2.5× 26 3.4k
Ping Wu 1.1k 1.1× 171 0.4× 196 0.5× 455 1.5× 143 0.5× 78 2.8k
Abigail Betanzos 1.4k 1.3× 1.1k 2.7× 198 0.6× 241 0.8× 201 0.7× 48 2.5k
Jaime Renart 1.8k 1.7× 220 0.5× 397 1.1× 82 0.3× 187 0.7× 60 2.9k

Countries citing papers authored by Danilo Licastro

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Licastro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danilo Licastro

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Licastro. A scholar is included among the top collaborators of Danilo Licastro 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 Danilo Licastro. Danilo Licastro 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.
Guarnieri, Tiziana, Pietro Di Lena, Danilo Licastro, et al.. (2025). Modified Methylation Following Electrostimulation in a Standardized Setting—Complementing a Transcriptomic Analysis. Cells. 14(11). 838–838. 1 indexed citations
2.
Verna, Giulio, Stefania De Santis, Bianca N. Islam, et al.. (2025). A missense mutation in Muc2 promotes gut microbiome and metabolome-dependent colitis-associated tumorigenesis. Journal of Clinical Investigation. 136(1).
3.
Capaci, Valeria, Pietro Campiglia, Danilo Licastro, et al.. (2025). A Pilot Study of Exosome Proteomic Profiling Reveals Dysregulated Metabolic Pathways in Endometrial Cancer. Biomedicines. 13(1). 95–95. 1 indexed citations
4.
Colantoni, Alessio, Franca Pelliccia, Andrea Guarracino, et al.. (2025). The reference genome of the human diploid cell line RPE-1. Nature Communications. 16(1). 7751–7751. 5 indexed citations
7.
Ghini, Veronica, Tiziana Guarnieri, Luigi Manni, et al.. (2024). Differential Anti-Inflammatory Effects of Electrostimulation in a Standardized Setting. International Journal of Molecular Sciences. 25(18). 9808–9808. 2 indexed citations
8.
Stefanon, Bruno, et al.. (2023). Regulatory Role of microRNA of Milk Exosomes in Mastitis of Dairy Cows. Animals. 13(5). 821–821. 12 indexed citations
9.
Busetti, Marina, Emmanouil Alexandros Fotakis, Christina Merakou, et al.. (2023). A urokinase-associated outbreak of Ralstonia mannitolilytica bloodstream infections in haemodialysis patients in north-eastern Italy, January to April 2023. Eurosurveillance. 28(28). 3 indexed citations
10.
Capaci, Valeria, Lorenzo Monasta, Eduardo Sommella, et al.. (2023). A Multi-Omics Approach Revealed Common Dysregulated Pathways in Type One and Type Two Endometrial Cancers. International Journal of Molecular Sciences. 24(22). 16057–16057. 4 indexed citations
11.
Capaci, Valeria, Giorgio Arrigoni, Lorenzo Monasta, et al.. (2023). Phospho-DIGE Identified Phosphoproteins Involved in Pathways Related to Tumour Growth in Endometrial Cancer. International Journal of Molecular Sciences. 24(15). 11987–11987. 7 indexed citations
12.
McKee, Shane, Paolo Prontera, Francesca Faravelli, et al.. (2022). SPECC1L Mutations Are Not Common in Sporadic Cases of Opitz G/BBB Syndrome. Genes. 13(2). 252–252. 1 indexed citations
13.
Celsi, Fulvio, Lorenzo Monasta, Giorgio Arrigoni, et al.. (2022). Gel-Based Proteomic Identification of Suprabasin as a Potential New Candidate Biomarker in Endometrial Cancer. International Journal of Molecular Sciences. 23(4). 2076–2076. 13 indexed citations
14.
Sommella, Eduardo, Valeria Capaci, Emanuela Salviati, et al.. (2022). A Label-Free Proteomic Approach for the Identification of Biomarkers in the Exosome of Endometrial Cancer Serum. Cancers. 14(24). 6262–6262. 16 indexed citations
15.
Licastro, Danilo, et al.. (2021). Genome Sequencing of a Novel Coronavirus SARS-CoV-2 Isolate from Iraq. Microbiology Resource Announcements. 10(4). 5 indexed citations
16.
Andreano, Emanuele, Giulia Piccini, Danilo Licastro, et al.. (2021). SARS-CoV-2 escape from a highly neutralizing COVID-19 convalescent plasma. Proceedings of the National Academy of Sciences. 118(36). 246 indexed citations breakdown →
17.
Ura, Blendi, Stefania Biffi, Lorenzo Monasta, et al.. (2021). Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum. Cancers. 13(14). 3639–3639. 23 indexed citations
18.
Bortot, Barbara, Maurizio Mongiat, Erica Valencic, et al.. (2020). <p>Nanotechnology-Based Cisplatin Intracellular Delivery to Enhance Chemo-Sensitivity of Ovarian Cancer</p>. International Journal of Nanomedicine. Volume 15. 4793–4810. 27 indexed citations
19.
Cignarella, Francesca, Fabia Filipello, Bryan Bollman, et al.. (2020). TREM2 activation on microglia promotes myelin debris clearance and remyelination in a model of multiple sclerosis. Acta Neuropathologica. 140(4). 513–534. 257 indexed citations
20.
Ura, Blendi, Lorenzo Monasta, Giorgio Arrigoni, et al.. (2019). Phosphoproteins Involved in the Inhibition of Apoptosis and in Cell Survival in the Leiomyoma. Journal of Clinical Medicine. 8(5). 691–691. 19 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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