Cristina Borzi

516 total citations
18 papers, 413 citations indexed

About

Cristina Borzi is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Cristina Borzi has authored 18 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 12 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Cristina Borzi's work include MicroRNA in disease regulation (12 papers), Extracellular vesicles in disease (6 papers) and RNA modifications and cancer (4 papers). Cristina Borzi is often cited by papers focused on MicroRNA in disease regulation (12 papers), Extracellular vesicles in disease (6 papers) and RNA modifications and cancer (4 papers). Cristina Borzi collaborates with scholars based in Italy, France and United Kingdom. Cristina Borzi's co-authors include Gabriella Sozzi, Orazio Fortunato, Ugo Pastorino, Carla Verri, Davide Conte, Paola Suatoni, Giovanni Centonze, Massimo Moro, Massimo Milione and Mattia Boeri and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Controlled Release.

In The Last Decade

Cristina Borzi

18 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cristina Borzi Italy 12 275 242 94 63 62 18 413
Naixin Liang China 11 182 0.7× 147 0.6× 136 1.4× 68 1.1× 29 0.5× 13 352
E T Verghese United Kingdom 6 186 0.7× 147 0.6× 110 1.2× 53 0.8× 50 0.8× 6 429
Mingjie Zheng China 9 187 0.7× 167 0.7× 72 0.8× 27 0.4× 25 0.4× 17 306
Longwen Xu China 10 185 0.7× 94 0.4× 172 1.8× 61 1.0× 27 0.4× 24 361
Qingyong Xu China 9 267 1.0× 179 0.7× 53 0.6× 50 0.8× 24 0.4× 10 354
Anne Steins Netherlands 10 113 0.4× 96 0.4× 248 2.6× 73 1.2× 44 0.7× 16 395
Yarely M. Salinas-Vera Mexico 13 315 1.1× 267 1.1× 104 1.1× 25 0.4× 34 0.5× 24 451
Ming-Hsin Yang Taiwan 9 118 0.4× 115 0.5× 234 2.5× 43 0.7× 78 1.3× 20 382
Amotz Shemi Israel 6 315 1.1× 156 0.6× 104 1.1× 19 0.3× 40 0.6× 7 412
Dali Yan China 12 390 1.4× 345 1.4× 99 1.1× 44 0.7× 24 0.4× 14 503

Countries citing papers authored by Cristina Borzi

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Borzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Borzi

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

All Works

18 of 18 papers shown
1.
Moro, Massimo, Chiara Grasselli, Nicolò Panini, et al.. (2024). Caloric restriction and metformin selectively improved LKB1-mutated NSCLC tumor response to chemo- and chemo-immunotherapy. Journal of Experimental & Clinical Cancer Research. 43(1). 6–6. 11 indexed citations
2.
Zulato, Elisabetta, Massimo Moro, Paola Del Bianco, et al.. (2023). Metabolic classification of non-small cell lung cancer patient-derived xenografts by a digital pathology approach: A pilot study. Frontiers in Oncology. 13. 1070505–1070505. 1 indexed citations
3.
Moro, Massimo, Orazio Fortunato, Giulia Bertolini, et al.. (2022). MiR-486-5p Targets CD133+ Lung Cancer Stem Cells through the p85/AKT Pathway. Pharmaceuticals. 15(3). 297–297. 19 indexed citations
4.
Borzi, Cristina, Claudia Moscheni, Patrizia Sartori, et al.. (2022). The Educational Program of Macrophages toward a Hyperprogressive Disease-Related Phenotype Is Orchestrated by Tumor-Derived Extracellular Vesicles. International Journal of Molecular Sciences. 23(24). 15802–15802. 2 indexed citations
5.
Gasparini, Patrizia, Michela Casanova, Giovanni Centonze, et al.. (2022). Establishment of 6 pediatric rhabdomyosarcoma patient’s derived xenograft models closely recapitulating patients’ tumor characteristics. Tumori Journal. 109(3). 314–323. 3 indexed citations
6.
Borzi, Cristina, Monica Ganzinelli, Elisa Caiola, et al.. (2021). LKB1 Down-Modulation by miR-17 Identifies Patients With NSCLC Having Worse Prognosis Eligible for Energy-Stress–Based Treatments. Journal of Thoracic Oncology. 16(8). 1298–1311. 16 indexed citations
7.
Paolo, Daniela Di, Massimo Moro, Giovanni Centonze, et al.. (2021). Cotargeting of miR‐126‐3p and miR‐221‐3p inhibits PIK3R2 and PTEN, reducing lung cancer growth and metastasis by blocking AKT and CXCR4 signalling. Molecular Oncology. 15(11). 2969–2988. 26 indexed citations
8.
Borzi, Cristina, Giulia Galli, Monica Ganzinelli, et al.. (2020). Beyond LKB1 Mutations in Non-Small Cell Lung Cancer: Defining LKB1less Phenotype to Optimize Patient Selection and Treatment. Pharmaceuticals. 13(11). 385–385. 7 indexed citations
9.
Moro, Massimo, Daniela Di Paolo, Massimo Milione, et al.. (2019). Coated cationic lipid-nanoparticles entrapping miR-660 inhibit tumor growth in patient-derived xenografts lung cancer models. Journal of Controlled Release. 308. 44–56. 46 indexed citations
10.
Borzi, Cristina, Anna Maria Ferretti, Laura Caleca, et al.. (2019). c-Myc shuttled by tumour-derived extracellular vesicles promotes lung bronchial cell proliferation through miR-19b and miR-92a. Cell Death and Disease. 10(10). 759–759. 34 indexed citations
11.
Fortunato, Orazio, Cristina Borzi, Massimo Milione, et al.. (2018). Circulating mir‐320a promotes immunosuppressive macrophages M2 phenotype associated with lung cancer risk. International Journal of Cancer. 144(11). 2746–2761. 60 indexed citations
12.
Moro, Massimo, Giulia Bertolini, Roberto Caserini, et al.. (2017). Establishment of patient derived xenografts as functional testing of lung cancer aggressiveness. Scientific Reports. 7(1). 6689–6689. 34 indexed citations
13.
Borzi, Cristina, et al.. (2017). Detection of microRNAs Using Chip-Based QuantStudio 3D Digital PCR. Methods in molecular biology. 1580. 239–247. 3 indexed citations
14.
Mensah, Mavis, Cristina Borzi, Carla Verri, et al.. (2017). MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier (MSC) for Lung Cancer Screening. Journal of Visualized Experiments. 29 indexed citations
15.
Mensah, Mavis, Cristina Borzi, Carla Verri, et al.. (2017). MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier (MSC) for Lung Cancer Screening. Journal of Visualized Experiments. 9 indexed citations
16.
Verri, Carla, Cristina Borzi, Todd Holscher, et al.. (2017). Mutational Profile from Targeted NGS Predicts Survival in LDCT Screening–Detected Lung Cancers. Journal of Thoracic Oncology. 12(6). 922–931. 15 indexed citations
17.
Borzi, Cristina, et al.. (2017). mir-660-p53-mir-486 Network: A New Key Regulatory Pathway in Lung Tumorigenesis. International Journal of Molecular Sciences. 18(1). 222–222. 33 indexed citations
18.
Conte, Davide, Carla Verri, Cristina Borzi, et al.. (2015). Novel method to detect microRNAs using chip-based QuantStudio 3D digital PCR. BMC Genomics. 16(1). 849–849. 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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