Olga Shakhova
- Developmental Neuroscience top 5%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 7
- Hedgehog Signaling Pathway Studies 3
- Genomics and Chromatin Dynamics 3
- Pluripotent Stem Cells Research 2
- Renal and related cancers 2
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 3
- Genetics top 5%
- Oncology top 10%
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- melanin and skin pigmentation 2
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- Neuroblastoma Research and Treatments 2
- Co-authors
- Silvia MarinoCarly LeungLukas SommerMaarten van LohuizenJames K. LiuParvin SaremaslaniEllen TangerRaffaella Santoro
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Olga Shakhova
21 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 103
- Developmental Neuroscience 97
- Molecular Biology 1.2k
- Cancer Research 263
- Genetics 163
- Oncology 340
Countries citing papers authored by Olga Shakhova
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
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
The 25 scholars most cited alongside Olga Shakhova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 3 | |
| 2 | 2020 | 24 | |
| 3 | 2020 | 6 | |
| 4 | 2019 | 6 | |
| 5 | 2018 | 145 | |
| 6 | 2017 | 23 | |
| 7 | 2015 | 6 | |
| 8 | 2015 | 66 | |
| 9 | 2015 | 248 | |
| 10 | 2015 | 72 | |
| 11 | 2014 | 116 | |
| 12 | 2014 | 42 | |
| 13 | 2011 | 55 | |
| 14 | 2010 | 64 | |
| 15 | 2010 | 36 | |
| 16 | 2010 | 83 | |
| 17 | 2006 | 35 | |
| 18 | 2005 | 23 | |
| 19 | 2004 | 426 | |
| 20 | 1998 | 31 |
About Olga Shakhova
Olga Shakhova is a scholar working on Cancer Research, Molecular Biology, Cell Biology, Developmental Neuroscience and Immunology and Allergy, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Hedgehog Signaling Pathway Studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Genomics and Chromatin Dynamics (3 papers), Pluripotent Stem Cells Research (2 papers), Renal and related cancers (2 papers), melanin and skin pigmentation (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (97 citations), Molecular Biology (1.2k citations), Cancer Research (263 citations), Genetics (163 citations) and Oncology (340 citations). Olga Shakhova has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Silvia Marino, Carly Leung, Lukas Sommer, Maarten van Lohuizen, James K. Liu, Parvin Saremaslani, Ellen Tanger, Raffaella Santoro, Julien Debbache and Sandra C. Frommel. Their work appears in journals such as Nature Communications, Stem Cells, Oncogene, PLoS Genetics and Life Science Alliance.
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.