Olga Sthandier

6.8k total citations · 2 hit papers
24 papers, 5.3k citations indexed

About

Olga Sthandier is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Olga Sthandier has authored 24 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Oncology. Recurrent topics in Olga Sthandier's work include Virus-based gene therapy research (10 papers), Muscle Physiology and Disorders (10 papers) and RNA Interference and Gene Delivery (8 papers). Olga Sthandier is often cited by papers focused on Virus-based gene therapy research (10 papers), Muscle Physiology and Disorders (10 papers) and RNA Interference and Gene Delivery (8 papers). Olga Sthandier collaborates with scholars based in Italy, Germany and United Kingdom. Olga Sthandier's co-authors include Irene Bozzoni, Tiziana Santini, Ivano Legnini, Davide Cacchiarelli, Marcella Cesana, Anna Tramontano, Mauro Chinappi, Alessandro Fatica, Mariangela Morlando and Francesca Briganti and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Olga Sthandier

24 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Long Noncoding RNA Controls Muscle Differentiation by Functioning as a Competing Endogenous RNA

2011 2.1k citations Marcella Cesana, Davide Cacchiarelli et al. Cell profile →
Circ-ZNF609 Is a Circular RNA that Can Be Translated and Functions in Myogenesis

2017 1.7k citations Ivano Legnini, Gaia Di Timoteo et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Olga Sthandier Italy	18	4.8k	3.9k	298	227	187	24	5.3k
Alessandro Fatica Italy	36	7.8k 1.6×	5.7k 1.5×	295 1.0×	348 1.5×	479 2.6×	67	8.9k
Ulrike Ziebold Germany	15	7.1k 1.5×	5.4k 1.4×	158 0.5×	645 2.8×	276 1.5×	19	7.6k
Yen-Sin Ang United States	12	2.8k 0.6×	1.5k 0.4×	164 0.6×	160 0.7×	167 0.9×	13	3.5k
Chang‐Zheng Chen United States	18	4.1k 0.9×	3.9k 1.0×	222 0.7×	282 1.2×	1.1k 6.0×	22	5.6k
Tiziana Santini Italy	21	4.7k 1.0×	4.0k 1.0×	132 0.4×	53 0.2×	120 0.6×	36	5.1k
Ivano Legnini Italy	20	5.1k 1.1×	4.5k 1.2×	129 0.4×	60 0.3×	116 0.6×	25	5.5k
Hun‐Way Hwang United States	15	3.3k 0.7×	2.9k 0.7×	165 0.6×	247 1.1×	232 1.2×	19	4.0k
David Frendewey United States	21	2.5k 0.5×	960 0.2×	252 0.8×	134 0.6×	478 2.6×	36	3.2k
Jane Sottile United States	28	1.2k 0.2×	918 0.2×	205 0.7×	308 1.4×	218 1.2×	41	3.2k
Bjørn R. Olsen United States	28	1.9k 0.4×	912 0.2×	492 1.7×	641 2.8×	202 1.1×	41	3.5k

Countries citing papers authored by Olga Sthandier

Since Specialization

Citations

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

Fields of papers citing papers by Olga Sthandier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Sthandier

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

All Works

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20 of 20 papers shown

1.

Legnini, Ivano, Gaia Di Timoteo, Francesca Rossi, et al.. (2017). Circ-ZNF609 Is a Circular RNA that Can Be Translated and Functions in Myogenesis. Molecular Cell. 66(1). 22–37.e9. 1663 indexed citations breakdown →

2.

Martone, Julie, Francesca Briganti, Ivano Legnini, et al.. (2016). The lack of the Celf2a splicing factor converts a Duchenne genotype into a Becker phenotype. Nature Communications. 7(1). 10488–10488. 16 indexed citations

3.

Cazzella, Valentina, Julie Martone, Tiziana Santini, et al.. (2012). Exon 45 Skipping Through U1-snRNA Antisense Molecules Recovers the Dys-nNOS Pathway and Muscle Differentiation in Human DMD Myoblasts. Molecular Therapy. 20(11). 2134–2142. 38 indexed citations

4.

Cesana, Marcella, Davide Cacchiarelli, Ivano Legnini, et al.. (2011). A Long Noncoding RNA Controls Muscle Differentiation by Functioning as a Competing Endogenous RNA. Cell. 147(2). 358–369. 2150 indexed citations breakdown →

5.

Cesana, Marcella, Davide Cacchiarelli, Ivano Legnini, et al.. (2011). A Long Noncoding RNA Controls Muscle Differentiation by Functioning as a Competing Endogenous RNA. Cell. 147(4). 947–947. 134 indexed citations

6.

Incitti, Tania, Fernanda Gabriella De Angelis, Valentina Cazzella, et al.. (2010). Exon Skipping and Duchenne Muscular Dystrophy Therapy: Selection of the Most Active U1 snRNA Antisense Able to Induce Dystrophin Exon 51 Skipping. Molecular Therapy. 18(9). 1675–1682. 33 indexed citations

7.

Cacchiarelli, Davide, Julie Martone, Erika Girardi, et al.. (2010). MicroRNAs Involved in Molecular Circuitries Relevant for the Duchenne Muscular Dystrophy Pathogenesis Are Controlled by the Dystrophin/nNOS Pathway. Cell Metabolism. 12(4). 341–351. 196 indexed citations

8.

Guastafierro, Tiziana, Barbara Cecchinelli, Michele Zampieri, et al.. (2008). CCCTC-binding Factor Activates PARP-1 Affecting DNA Methylation Machinery. Journal of Biological Chemistry. 283(32). 21873–21880. 119 indexed citations

9.

Denti, Michela A., Tania Incitti, Olga Sthandier, et al.. (2008). Long-Term Benefit of Adeno-Associated Virus/Antisense-Mediated Exon Skipping in Dystrophic Mice. Human Gene Therapy. 19(6). 601–608. 53 indexed citations

10.

Rosa, Alessandro, Monica Ballarino, Antonio Sorrentino, et al.. (2007). The interplay between the master transcription factor PU.1 and miR-424 regulates human monocyte/macrophage differentiation. Proceedings of the National Academy of Sciences. 104(50). 19849–19854. 234 indexed citations

11.

Caruso, Maddalena, et al.. (2006). Mutation in the VP1-LDV Motif of the Murine Polyomavirus Affects Viral Infectivity and Conditions Virus Tissue Tropism in vivo. Journal of Molecular Biology. 367(1). 54–64. 5 indexed citations

12.

Reale, Anna, Olga Sthandier, Marie‐Isabelle Garcia, et al.. (2006). PARP-1 Interaction with VP1 Capsid Protein Regulates Polyomavirus Early Gene Expression†. Journal of Molecular Biology. 363(4). 773–785. 16 indexed citations

13.

Denti, Michela A., Alessandro Rosa, Giuseppe D’Antona, et al.. (2006). Chimeric Adeno-Associated Virus/Antisense U1 Small Nuclear RNA Effectively Rescues Dystrophin Synthesis and Muscle Function by Local Treatment of mdx Mice. Human Gene Therapy. 0(0). 1527707830–1527707830. 2 indexed citations

14.

Denti, Michela A., Alessandro Rosa, Giuseppe D’Antona, et al.. (2006). Chimeric Adeno-Associated Virus/Antisense U1 Small Nuclear RNA Effectively Rescues Dystrophin Synthesis and Muscle Function by Local Treatment of mdx Mice. Human Gene Therapy. 17(5). 565–574. 39 indexed citations

15.

Caruso, Maddalena, et al.. (2004). Conformational Changes of Murine Polyomavirus Capsid Proteins Induced by Sialic Acid Binding. Journal of Biological Chemistry. 279(40). 41573–41579. 18 indexed citations

16.

Denti, Michela A., Alessandro Rosa, Olga Sthandier, Fernanda Gabriella De Angelis, & Irene Bozzoni. (2004). A new vector, based on the PolII promoter for the U1 snRNA gene, for the expression of siRNAs in mammalian cells. Molecular Therapy. 10(1). 191–199. 62 indexed citations

17.

Angelis, Fernanda Gabriella De, Olga Sthandier, Barbara Berarducci, et al.. (2002). Chimeric snRNA molecules carrying antisense sequences against the splice junctions of exon 51 of the dystrophin pre-mRNA induce exon skipping and restoration of a dystrophin synthesis in Δ48-50 DMD cells. Proceedings of the National Academy of Sciences. 99(14). 9456–9461. 104 indexed citations

18.

Garcia, Marie‐Isabelle, Marie Perez, Maddalena Caruso, et al.. (2000). A Mutation in the DE Loop of the VP1 Protein That Prevents Polyomavirus Transcription and Replication. Virology. 272(2). 293–301. 18 indexed citations

19.

Anastasi, Sergio, Silvia Giordano, Olga Sthandier, et al.. (1997). A Natural Hepatocyte Growth Factor/Scatter Factor Autocrine Loop in Myoblast Cells and the Effect of the ConstitutiveMetKinase Activation on Myogenic Differentiation. The Journal of Cell Biology. 137(5). 1057–1068. 150 indexed citations

20.

Ottavio, Luigi, et al.. (1992). Constitutive synthesis of polyoma antisense RNA renders cells immune to virus infection. Virology. 189(2). 812–816. 9 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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