Olga Shakhova

2.2k total citations
21 papers, 1.6k citations indexed

About

Olga Shakhova is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Olga Shakhova has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Cell Biology. Recurrent topics in Olga Shakhova's work include Epigenetics and DNA Methylation (7 papers), Hedgehog Signaling Pathway Studies (3 papers) and Cancer-related molecular mechanisms research (3 papers). Olga Shakhova is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Hedgehog Signaling Pathway Studies (3 papers) and Cancer-related molecular mechanisms research (3 papers). Olga Shakhova collaborates with scholars based in Switzerland, Germany and United States. Olga Shakhova's co-authors include Silvia Marino, Carly Leung, Lukas Sommer, James K. Liu, Ellen Tanger, Maarten van Lohuizen, Parvin Saremaslani, Julien Debbache, Raffaella Santoro and Sandra C. Frommel and has published in prestigious journals such as Nature, Nature Communications and Development.

In The Last Decade

Olga Shakhova

21 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olga Shakhova Switzerland 17 1.2k 340 263 163 151 21 1.6k
Katharina Haigh Belgium 19 800 0.6× 234 0.7× 236 0.9× 79 0.5× 139 0.9× 29 1.3k
Tsutomu Motohashi Japan 20 762 0.6× 444 1.3× 193 0.7× 97 0.6× 84 0.6× 41 1.3k
Hyung-song Nam United States 13 1.1k 0.9× 410 1.2× 201 0.8× 393 2.4× 128 0.8× 15 1.9k
Lingsong Li China 22 962 0.8× 196 0.6× 146 0.6× 398 2.4× 159 1.1× 61 1.9k
Xing Shen China 16 1.2k 1.0× 276 0.8× 167 0.6× 124 0.8× 80 0.5× 43 1.7k
Hitomi Aoki Japan 24 1.2k 1.0× 636 1.9× 342 1.3× 250 1.5× 197 1.3× 90 2.2k
Alison Z. Young United States 7 931 0.8× 295 0.9× 240 0.9× 88 0.5× 89 0.6× 7 1.3k
Claudio Cantù Sweden 22 946 0.8× 274 0.8× 145 0.6× 66 0.4× 209 1.4× 47 1.2k
Violaine Harris United States 20 953 0.8× 189 0.6× 149 0.6× 289 1.8× 88 0.6× 31 1.5k
Jan S. Tchorz Switzerland 20 875 0.7× 191 0.6× 214 0.8× 56 0.3× 138 0.9× 33 1.6k

Countries citing papers authored by Olga Shakhova

Since Specialization
Citations

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

Fields of papers citing papers by Olga Shakhova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Shakhova

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Shakhova. A scholar is included among the top collaborators of Olga Shakhova 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 Shakhova. Olga Shakhova 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.
Gasparre, Giuseppe, et al.. (2020). Oncogenic ALKF1174L drives tumorigenesis in cutaneous squamous cell carcinoma. Life Science Alliance. 3(6). e201900601–e201900601. 3 indexed citations
2.
Britschgi, Christian, Claudia Matter, Daniela Mihic‐Probst, et al.. (2020). Temporal activation of WNT/β-catenin signaling is sufficient to inhibit SOX10 expression and block melanoma growth. Oncogene. 39(20). 4132–4154. 24 indexed citations
3.
Bodmer, Nicole, et al.. (2020). Lineage-restricted sympathoadrenal progenitors confer neuroblastoma origin and its tumorigenicity. Oncotarget. 11(24). 2357–2371. 6 indexed citations
4.
5.
Parfejevs, Vadims, Julien Debbache, Olga Shakhova, et al.. (2018). Injury-activated glial cells promote wound healing of the adult skin in mice. Nature Communications. 9(1). 236–236. 145 indexed citations
6.
Gonçalves, Ana, Mojca Adlesic, Simone Brandt, et al.. (2017). Evidence of renal angiomyolipoma neoplastic stem cells arising from renal epithelial cells. Nature Communications. 8(1). 1466–1466. 23 indexed citations
7.
Zingg, Daniel, Julien Debbache, Eylül Tuncer, et al.. (2015). The epigenetic modifier EZH2 controls melanoma growth and metastasis through silencing of distinct tumour suppressors. Nature Communications. 6(1). 6051–6051. 248 indexed citations
8.
Cheng, Phil F., Olga Shakhova, Daniel Widmer, et al.. (2015). Methylation-dependent SOX9 expression mediates invasion in human melanoma cells and is a negative prognostic factor in advanced melanoma. Genome Biology. 16(1). 42–42. 66 indexed citations
9.
Shakhova, Olga & Lukas Sommer. (2015). In Vitro Derivation of Melanocytes from Embryonic Neural Crest Stem Cells. Methods in molecular biology. 6 indexed citations
10.
Shakhova, Olga, Phil F. Cheng, Pravin J. Mishra, et al.. (2015). Antagonistic Cross-Regulation between Sox9 and Sox10 Controls an Anti-tumorigenic Program in Melanoma. PLoS Genetics. 11(1). e1004877–e1004877. 72 indexed citations
11.
Savić, Nataša, Dominik Bär, Sandra C. Frommel, et al.. (2014). lncRNA Maturation to Initiate Heterochromatin Formation in the Nucleolus Is Required for Exit from Pluripotency in ESCs. Cell stem cell. 15(6). 720–734. 116 indexed citations
12.
Shakhova, Olga. (2014). Neural crest stem cells in melanoma development. Current Opinion in Oncology. 26(2). 215–221. 42 indexed citations
13.
14.
Sutter, Reto, Olga Shakhova, Hourinaz Behesti, et al.. (2010). Cerebellar stem cells act as medulloblastoma-initiating cells in a mouse model and a neural stem cell signature characterizes a subset of human medulloblastomas. Oncogene. 29(12). 1845–1856. 64 indexed citations
15.
Casanova, Elisa A., Olga Shakhova, Paweł Pelczar, et al.. (2010). Pramel7 Mediates LIF/STAT3-Dependent Self-Renewal in embryoniC Stem Cells. Stem Cells. 29(3). 474–485. 36 indexed citations
16.
Bolliger, Marc, Andreas Zurlinden, Daniel Lüscher, et al.. (2010). Specific proteolytic cleavage of agrin regulates maturation of the neuromuscular junction. Journal of Cell Science. 123(22). 3944–3955. 83 indexed citations
17.
Shakhova, Olga, Carly Leung, Erwin van Montfort, Anton Berns, & Silvia Marino. (2006). Lack of Rb and p53 Delays Cerebellar Development and Predisposes to Large Cell Anaplastic Medulloblastoma through Amplification of N-Myc and Ptch2. Cancer Research. 66(10). 5190–5200. 35 indexed citations
18.
Shakhova, Olga, Carly Leung, & Silvia Marino. (2005). Bmi1 in development and tumorigenesis of the central nervous system. Journal of Molecular Medicine. 83(8). 596–600. 23 indexed citations
19.
Leung, Carly, Olga Shakhova, James K. Liu, et al.. (2004). Bmi1 is essential for cerebellar development and is overexpressed in human medulloblastomas. Nature. 428(6980). 337–341. 426 indexed citations
20.
Khil, Pavel P., T. V. Vinogradova, Alexander Akhmedov, et al.. (1998). Subfamilies and nearest-neighbour dendrogram for the LTRs of human endogenous retroviruses HERV-K mapped on human chromosome 19: physical neighbourhood does not correlate with identity level. Human Genetics. 102(1). 107–116. 31 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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