Aurora Savino

1.4k total citations
30 papers, 794 citations indexed

About

Aurora Savino is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Aurora Savino has authored 30 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Aurora Savino's work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (4 papers) and Bioinformatics and Genomic Networks (4 papers). Aurora Savino is often cited by papers focused on MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (4 papers) and Bioinformatics and Genomic Networks (4 papers). Aurora Savino collaborates with scholars based in Italy, Germany and United Kingdom. Aurora Savino's co-authors include Wolf Reik, Hisham Mohammed, John C. Marioni, Valeria Poli, Jennifer Nichols, Antonio Scialdone, Alessandro Cellerino, Iain C. Macaulay, Carla Mulas and Wendy Dean and has published in prestigious journals such as Oncogene, FEBS Letters and International Journal of Molecular Sciences.

In The Last Decade

Aurora Savino

25 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aurora Savino Italy 13 587 180 83 75 71 30 794
Uwe Menzel Sweden 20 488 0.8× 141 0.8× 62 0.7× 275 3.7× 30 0.4× 30 884
Jeffrey W. Hofmann United States 9 330 0.6× 103 0.6× 80 1.0× 98 1.3× 44 0.6× 25 612
Jennifer N. Cech United States 10 892 1.5× 115 0.6× 109 1.3× 201 2.7× 95 1.3× 13 1.2k
Amelia Weber Hall United States 15 607 1.0× 79 0.4× 43 0.5× 94 1.3× 62 0.9× 25 999
Bastiaan Spanjaard Germany 10 895 1.5× 255 1.4× 91 1.1× 97 1.3× 93 1.3× 13 1.1k
Fabrice Daian France 13 450 0.8× 76 0.4× 49 0.6× 69 0.9× 44 0.6× 21 611
Tasuku Mitani Japan 17 443 0.8× 204 1.1× 85 1.0× 120 1.6× 313 4.4× 37 942
Haide Chen China 14 650 1.1× 131 0.7× 117 1.4× 86 1.1× 191 2.7× 30 862
Liwei Guo China 12 401 0.7× 87 0.5× 32 0.4× 100 1.3× 36 0.5× 21 603
Weiyong Sun United States 15 717 1.2× 87 0.5× 107 1.3× 80 1.1× 188 2.6× 21 1.1k

Countries citing papers authored by Aurora Savino

Since Specialization
Citations

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

Fields of papers citing papers by Aurora Savino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurora Savino

This figure shows the co-authorship network connecting the top 25 collaborators of Aurora Savino. A scholar is included among the top collaborators of Aurora Savino 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 Aurora Savino. Aurora Savino 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.
Barth, Emanuel, Mario Baumgart, Rongfeng Cui, et al.. (2025). Analysis of microRNA expression reveals convergent evolution of the molecular control of diapause in annual killifishes. Frontiers in Genetics. 16. 1583989–1583989.
2.
Manipur, Ichcha, Clare Pacini, Fiona M. Behan, et al.. (2024). Benchmark Software and Data for Evaluating CRISPR-Cas9 Experimental Pipelines Through the Assessment of a Calibration Screen. The CRISPR Journal. 7(6). 355–365. 1 indexed citations
3.
Savino, Aurora, Pedro Beltrão, Isidro Cortés‐Ciriano, et al.. (2023). Highlights from the 1st European cancer dependency map symposium and workshop. FEBS Letters. 597(15). 1921–1927. 3 indexed citations
4.
Orso, Francesca, Federico Virga, Daniela Dettori, et al.. (2023). Stroma-derived miR-214 coordinates tumor dissemination. Journal of Experimental & Clinical Cancer Research. 42(1). 20–20. 19 indexed citations
5.
Bolli, Elisabetta, Roberto Ruiu, Giuseppe Ferrauto, et al.. (2022). Toll-like receptor 2 promotes breast cancer progression and resistance to chemotherapy. OncoImmunology. 11(1). 2086752–2086752. 27 indexed citations
6.
Savino, Aurora, et al.. (2022). Contrast subgraphs allow comparing homogeneous and heterogeneous networks derived from omics data. GigaScience. 12. 3 indexed citations
7.
Avalle, Lidia, Emanuele Monteleone, Aurora Savino, et al.. (2022). STAT3 induces breast cancer growth via ANGPTL4, MMP13 and STC1 secretion by cancer associated fibroblasts. Oncogene. 41(10). 1456–1467. 62 indexed citations
8.
Savino, Aurora, et al.. (2021). Meta-Analysis of Microdissected Breast Tumors Reveals Genes Regulated in the Stroma but Hidden in Bulk Analysis. Cancers. 13(13). 3371–3371. 7 indexed citations
9.
Torelli, Federico, Aurora Savino, Vincenzo Salemme, et al.. (2020). The N-terminal domain of the adaptor protein p140Cap interacts with Tiam1 and controls Tiam1/Rac1 axis.. American Journal of Cancer Research. 10(12). 4308–4324. 4 indexed citations
10.
Monteleone, Emanuele, Davide Schiavone, Lidia Avalle, et al.. (2019). SP1 and STAT3 Functionally Synergize to Induce the RhoU Small GTPase and a Subclass of Non-canonical WNT Responsive Genes Correlating with Poor Prognosis in Breast Cancer. Cancers. 11(1). 101–101. 26 indexed citations
11.
Meßmer, Tobias, Ferdinand von Meyenn, Aurora Savino, et al.. (2019). Transcriptional Heterogeneity in Naive and Primed Human Pluripotent Stem Cells at Single-Cell Resolution. Cell Reports. 26(4). 815–824.e4. 103 indexed citations
12.
Avalle, Lidia, Danny Incarnato, Aurora Savino, et al.. (2017). MicroRNAs-143 and -145 induce epithelial to mesenchymal transition and modulate the expression of junction proteins. Cell Death and Differentiation. 24(10). 1750–1760. 24 indexed citations
13.
Mohammed, Hisham, Irene Hernando-Herraez, Aurora Savino, et al.. (2017). Single-Cell Landscape of Transcriptional Heterogeneity and Cell Fate Decisions during Mouse Early Gastrulation. Cell Reports. 20(5). 1215–1228. 223 indexed citations
14.
Ripa, Roberto, Luca Pandolfini, Aurora Savino, et al.. (2017). MicroRNA miR-29 controls a compensatory response to limit neuronal iron accumulation during adult life and aging. BMC Biology. 15(1). 9–9. 76 indexed citations
15.
Baumgart, Mario, Emanuel Barth, Aurora Savino, et al.. (2017). A miRNA catalogue and ncRNA annotation of the short-living fish Nothobranchius furzeri. BMC Genomics. 18(1). 693–693. 14 indexed citations
16.
Spinelli, Antonino, et al.. (2014). Acute cardiogenic dyspnea in the emergency department: accuracy of lung ultrasound. Critical Ultrasound Journal. 6(S2). 1 indexed citations
17.
Tozzini, Eva Terzibasi, Aurora Savino, Roberto Ripa, et al.. (2014). Regulation of microRNA expression in the neuronal stem cell niches during aging of the short-lived annual fish Nothobranchius furzeri. Frontiers in Cellular Neuroscience. 8. 227–227. 15 indexed citations
18.
Colosimo, Santo, et al.. (1991). [Mammographic control after quadrantectomy and radiation therapy].. PubMed. 81(6). 893–8. 1 indexed citations
19.
Zy, Tang, et al.. (1988). An expert system designed as a tutoring tool in cervical cytology: TTCC-1 system.. PubMed. 10(6). 417–22. 2 indexed citations
20.
Savino, Aurora & Koss Lg. (1972). The evaluation of sex chromatin as a prognostic factor in carcinoma of the breast. A preliminary report.. PubMed. 15(4). 372–4. 12 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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