Silvia Miretti

1.0k total citations
45 papers, 763 citations indexed

About

Silvia Miretti is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Silvia Miretti has authored 45 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Silvia Miretti's work include Cancer Cells and Metastasis (13 papers), MicroRNA in disease regulation (10 papers) and Cancer-related molecular mechanisms research (7 papers). Silvia Miretti is often cited by papers focused on Cancer Cells and Metastasis (13 papers), MicroRNA in disease regulation (10 papers) and Cancer-related molecular mechanisms research (7 papers). Silvia Miretti collaborates with scholars based in Italy, Spain and Germany. Silvia Miretti's co-authors include Paolo Accornero, Mario Baratta, Eugenio Martignani, Riccardo Taulli, Francesca Bersani, Carola Ponzetto, Elisabetta Macchi, Tiziana Crepaldi, Paolo E. Forni and Claudio Scuoppo and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Silvia Miretti

42 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia Miretti Italy 16 382 186 182 128 125 45 763
Simone de Brot Switzerland 14 230 0.6× 243 1.3× 103 0.6× 106 0.8× 134 1.1× 58 664
Xiantang Li United States 16 137 0.4× 144 0.8× 66 0.4× 52 0.4× 201 1.6× 28 889
Célia Lopes Portugal 16 340 0.9× 318 1.7× 64 0.4× 125 1.0× 86 0.7× 57 846
A Konno Japan 16 250 0.7× 132 0.7× 34 0.2× 108 0.8× 77 0.6× 38 830
Xiaolin Wu China 9 173 0.5× 53 0.3× 175 1.0× 53 0.4× 350 2.8× 21 657
Eugenio Martignani Italy 14 234 0.6× 72 0.4× 104 0.6× 136 1.1× 109 0.9× 46 516
Weiguo Cai China 12 105 0.3× 112 0.6× 35 0.2× 127 1.0× 91 0.7× 24 631
Xiaoyu Guo China 15 226 0.6× 95 0.5× 154 0.8× 104 0.8× 57 0.5× 63 638
Riki Perlman Israel 13 577 1.5× 28 0.2× 70 0.4× 216 1.7× 98 0.8× 31 832

Countries citing papers authored by Silvia Miretti

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Miretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Miretti

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Miretti. A scholar is included among the top collaborators of Silvia Miretti 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 Silvia Miretti. Silvia Miretti 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.
Rensis, F. De, Eugenio Martignani, Silvia Miretti, et al.. (2025). Differential Expression of miR-223-3p and miR-26-5p According to Different Stages of Mastitis in Dairy Cows. Biomolecules. 15(2). 235–235.
2.
3.
Ala, Ugo, Elisabetta Macchi, Paola Toschi, et al.. (2024). Expression profiles of circulating miRNAs in an endangered Piedmontese sheep breed during the estrus cycle. Frontiers in Veterinary Science. 11. 1458463–1458463. 1 indexed citations
4.
5.
Ala, Ugo, Paolo Cornale, Elisabetta Macchi, et al.. (2023). Adaptation Response in Sheep: Ewes in Different Cortisol Clusters Reveal Changes in the Expression of Salivary miRNAs. Animals. 13(20). 3273–3273. 2 indexed citations
6.
Miretti, Silvia, et al.. (2020). A New Approach to LCA Evaluation of Lamb Meat Production in Two Different Breeding Systems in Northern Italy. Frontiers in Veterinary Science. 7. 651–651. 16 indexed citations
7.
Martignani, Eugenio, Silvia Miretti, Leila Vincenti, & Mario Baratta. (2018). Correlation between estrogen plasma level and miRNAs in muscle of Piedmontese cattle. Domestic Animal Endocrinology. 67. 37–41. 3 indexed citations
8.
Bersani, Francesca, Deborah Morena, Valentina Foglizzo, et al.. (2016). Deep Sequencing Reveals a Novel miR-22 Regulatory Network with Therapeutic Potential in Rhabdomyosarcoma. Cancer Research. 76(20). 6095–6106. 31 indexed citations
9.
Martignani, Eugenio, et al.. (2015). Generation of Induced Pluripotent Stem Cells from Bovine Epithelial Cells and Partial Redirection Toward a Mammary Phenotype In Vitro. Cellular Reprogramming. 17(3). 211–220. 24 indexed citations
10.
Cornale, Paolo, Elisabetta Macchi, Silvia Miretti, et al.. (2015). Effects of stocking density and environmental enrichment on behavior and fecal corticosteroid levels of pigs under commercial farm conditions. Journal of Veterinary Behavior. 10(6). 569–576. 62 indexed citations
11.
Martignani, Eugenio, et al.. (2015). Clonogenic assay allows for selection of a primitive mammary epithelial cell population in bovine. Experimental Cell Research. 338(2). 245–250. 6 indexed citations
12.
Martignani, Eugenio, et al.. (2014). Bovine mammary stem cells: new perspective for dairy science. Veterinary Quarterly. 34(1). 52–58. 15 indexed citations
13.
Maniscalco, Lorella, Selina Iussich, Emanuela Morello, et al.. (2014). Increased expression of insulin-like growth factor-1 receptor is correlated with worse survival in canine appendicular osteosarcoma. The Veterinary Journal. 205(2). 272–280. 28 indexed citations
14.
Martignani, Eugenio, et al.. (2014). Bovine mammary epithelial cells retain stem-like phenotype in long-term cultures. Research in Veterinary Science. 97(2). 367–375. 7 indexed citations
15.
Accornero, Paolo, Silvia Miretti, Francesca Bersani, et al.. (2012). Met Receptor Acts Uniquely for Survival and Morphogenesis of EGFR-Dependent Normal Mammary Epithelial and Cancer Cells. PLoS ONE. 7(9). e44982–e44982. 15 indexed citations
16.
Martignani, Eugenio, Silvia Miretti, Paolo Accornero, & Mario Baratta. (2011). miRNAs Highlights in Stem and Cancer Cells. Mini-Reviews in Medicinal Chemistry. 11(13). 1165–1182. 19 indexed citations
17.
Cucuzza, L. Starvaggi, M. Motta, Silvia Miretti, et al.. (2009). Positive effect of silymarin on cell growth and differentiation in bovine and murine mammary cells. Journal of Animal Physiology and Animal Nutrition. 94(1). 111–117. 13 indexed citations
18.
Accornero, Paolo, Eugenio Martignani, Silvia Miretti, L. Starvaggi Cucuzza, & Mario Baratta. (2009). Epidermal growth factor and hepatocyte growth factor receptors collaborate to induce multiple biological responses in bovine mammary epithelial cells. Journal of Dairy Science. 92(8). 3667–3675. 9 indexed citations
19.
Bersani, Francesca, Riccardo Taulli, Paolo Accornero, et al.. (2008). Bortezomib-mediated proteasome inhibition as a potential strategy for the treatment of rhabdomyosarcoma. European Journal of Cancer. 44(6). 876–884. 24 indexed citations
20.
Taulli, Riccardo, Claudio Scuoppo, Francesca Bersani, et al.. (2006). Validation of Met as a Therapeutic Target in Alveolar and Embryonal Rhabdomyosarcoma. Cancer Research. 66(9). 4742–4749. 131 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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