Olga Sthandier

6.8k citations
24 papers · 5.3k indexed · 2 hit papers · h-index 18
Topics
Virus-based gene therapy research (10 papers)Muscle Physiology and Disorders (10 papers)RNA Interference and Gene Delivery (8 papers)

In The Last Decade

Olga Sthandier

24 papers receiving 5.3k citations

Hit Papers

A Long Noncoding RNA Controls Muscle Differentiation by F...20112026201620212011201750010001.5k2.0k

Peers

Olga Sthandier
Comparison fields: 5 of 105
  • Molecular Biology 4.8k
  • Cancer Research 3.9k
  • Genetics 298
  • Oncology 227
  • Immunology 187
Replace Alessandro Fatica with:
Alessandro Fatica Italy
Ulrike Ziebold Germany
Ivano Legnini Italy
Tiziana Santini Italy
Chang‐Zheng Chen United States
Marvin Jens Germany
David Frendewey United States
Olivier Lefèbvre France
Guillaume Arras France
Trine I. Jensen Denmark
Olga Sthandier relative to Alessandro Fatica Italy Alessandro Fatica's profile →
Citations per field
00.5×1.5×
Alessandro Fatica · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1
Circ-ZNF609 Is a Circular RNA that Can Be Translated and Functions in Myogenesisbreakdown →
1663
2 16
3 38
4
A Long Noncoding RNA Controls Muscle Differentiation by Functioning as a Competing Endogenous RNAbreakdown →
2150
5 134
6 33
7 196
8 119
9 53
10 234
11 5
12 16
13 2
14 39
15 18
16 62
17 104
18 18
19 150
20 9

About Olga Sthandier

Olga Sthandier is a scholar working on Genetics, Cancer Research and Oncology, having authored 24 papers that have together received 5.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Muscle Physiology and Disorders (10 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Cancer Research (3.9k citations), Molecular Biology (4.8k citations) and Genetics (182 citations). Olga Sthandier has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Irene Bozzoni, Tiziana Santini, Ivano Legnini, Davide Cacchiarelli, Marcella Cesana, Anna Tramontano, Mauro Chinappi, Alessandro Fatica, Mariangela Morlando and Francesca Briganti. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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