Olga Fedorova

1.2k total citations
49 papers, 913 citations indexed

About

Olga Fedorova is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Olga Fedorova has authored 49 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 22 papers in Oncology and 10 papers in Immunology. Recurrent topics in Olga Fedorova's work include Ubiquitin and proteasome pathways (12 papers), Cancer-related Molecular Pathways (12 papers) and Epigenetics and DNA Methylation (11 papers). Olga Fedorova is often cited by papers focused on Ubiquitin and proteasome pathways (12 papers), Cancer-related Molecular Pathways (12 papers) and Epigenetics and DNA Methylation (11 papers). Olga Fedorova collaborates with scholars based in Russia, United Kingdom and Kazakhstan. Olga Fedorova's co-authors include Alexandra Daks, Oleg Shuvalov, Nickolai A. Barlev, Alexey Petukhov, Nickolai A. Barlev, Gerry Melino, Larissa Lezina, Alexey V. Antonov, Dmitri Tentler and Vasilisa Aksenova and has published in prestigious journals such as Oncogene, Biochemical and Biophysical Research Communications and Cell Death and Differentiation.

In The Last Decade

Olga Fedorova

46 papers receiving 903 citations

Peers

Olga Fedorova

ONCOL

IMMUN

PRM

Kateryna Shostak Belgium

Jianhong Zuo China

Oleg Shuvalov Russia

Shaojie Jiang China

Carmen Aanei France

Susumu Rokudai Japan

Jinxiang Han China

Alexandra Hockla United States

Do Kim United States

Xixi Wang China

Kateryna Shostak Belgium

Olga Fedorova

648 ×1.0

276 ×1.1

ONCOL

284 ×1.2

129 ×1.3

IMMUN

71 ×1.0

PRM

Citations per year, relative to Olga Fedorova Olga Fedorova (= 1×) peers Kateryna Shostak

Countries citing papers authored by Olga Fedorova

Since Specialization

Citations

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

Fields of papers citing papers by Olga Fedorova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Fedorova

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Fedorova. A scholar is included among the top collaborators of Olga Fedorova 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 Fedorova. Olga Fedorova 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

Shuvalov, Oleg, et al.. (2025). Effects of n-Myc and c-Myc on the expression of p53 family members and their transcriptional targets in human neuroblastoma cells. Biochemical and Biophysical Research Communications. 769. 151944–151944. 1 indexed citations

Vishnyakov, Innokentii E., Tatiana Efimova, Alexandra Daks, et al.. (2024). Effect of infection by Mycoplasma arginini and Mycoplasma salivarium on the oncogenic properties of lung cancer cell line A549. Biochemical and Biophysical Research Communications. 736. 150878–150878.

Shuvalov, Oleg, et al.. (2023). Methyltransferase Set7/9 controls PARP1 expression and regulates cisplatin response of breast cancer cells. Biochemical and Biophysical Research Communications. 691. 149328–149328. 4 indexed citations

Fedorova, Olga, et al.. (2022). How Should the Worldwide Knowledge of Traditional Cancer Healing Be Integrated with Herbs and Mushrooms into Modern Molecular Pharmacology?. Pharmaceuticals. 15(7). 868–868. 17 indexed citations

Fedorova, Olga, Alexandra Daks, Oleg Shuvalov, et al.. (2021). Zeb1-mediated autophagy enhances resistance of breast cancer cells to genotoxic drugs. Biochemical and Biophysical Research Communications. 589. 29–34. 14 indexed citations

Daks, Alexandra, Oleg Shuvalov, Olga Fedorova, et al.. (2021). p53-Independent Effects of Set7/9 Lysine Methyltransferase on Metabolism of Non-Small Cell Lung Cancer Cells. Frontiers in Oncology. 11. 706668–706668. 12 indexed citations

Singh, Aastha, et al.. (2021). Interplay between p53 and non-coding RNAs in the regulation of EMT in breast cancer. Cell Death and Disease. 12(1). 17–17. 55 indexed citations

Daks, Alexandra, Alexey Petukhov, Olga Fedorova, et al.. (2021). The RNA-binding protein HuR is a novel target of Pirh2 E3 ubiquitin ligase. Cell Death and Disease. 12(6). 581–581. 21 indexed citations

Daks, Alexandra, et al.. (2020). The Role of ERBB2/HER2 Tyrosine Kinase Receptor in the Regulation of Cell Death. Biochemistry (Moscow). 85(10). 1277–1287. 10 indexed citations

10.

Shuvalov, Oleg, et al.. (2020). An Arthropod Hormone, Ecdysterone, Inhibits the Growth of Breast Cancer Cells via Different Mechanisms. Frontiers in Pharmacology. 11. 561537–561537. 24 indexed citations

11.

Shuvalov, Oleg, et al.. (2020). Cancer-testis antigens, semenogelins 1 and 2, exhibit different anti-proliferative effects on human lung adenocarcinoma cells. Cell Death Discovery. 6(1). 108–108. 6 indexed citations

12.

Fedorova, Olga, Alexandra Daks, Varvara Petrova, et al.. (2018). Novel isatin-derived molecules activate p53 via interference with Mdm2 to promote apoptosis. Cell Cycle. 17(15). 1917–1930. 26 indexed citations

13.

Daks, Alexandra, et al.. (2018). Effects of mycoplasma infection on the host organism response via p53/NF‐κB signaling. Journal of Cellular Physiology. 234(1). 171–180. 15 indexed citations

14.

Shuvalov, Oleg, Olga Fedorova, Alexey Petukhov, et al.. (2017). Nutlin sensitizes lung carcinoma cells to interferon-alpha treatment in MDM2-dependent but p53-independent manner. Biochemical and Biophysical Research Communications. 495(1). 1233–1239. 12 indexed citations

15.

Daks, Alexandra, Alexey Petukhov, Oleg Shuvalov, et al.. (2016). Tumor suppressor p63 regulates Pirh2 ubiquitin ligase expression. Cell and Tissue Biology. 10(3). 202–205. 3 indexed citations

16.

Lezina, Larissa, Vasilisa Aksenova, Т. А. Иванова, et al.. (2014). KMTase Set7/9 is a critical regulator of E2F1 activity upon genotoxic stress. Cell Death and Differentiation. 21(12). 1889–1899. 47 indexed citations

17.

Fedorova, Olga, Tatiana N. Moiseeva, Mittenberg Ag, & Nickolai A. Barlev. (2011). Recombinant proteasome alpha-type subunits exhibit endoribonuclease activity. Cell and Tissue Biology. 5(2). 123–126. 2 indexed citations

18.

Fedorova, Olga, Tatiana N. Moiseeva, Andrey Nikiforov, et al.. (2011). Proteomic analysis of the 20S proteasome (PSMA3)-interacting proteins reveals a functional link between the proteasome and mRNA metabolism. Biochemical and Biophysical Research Communications. 416(3-4). 258–265. 39 indexed citations

19.

Moiseeva, Tatiana N., Olga Fedorova, А. С. Цимоха, Mittenberg Ag, & Nickolai A. Barlev. (2010). Effect of ubiquitination on peptidase activities of proteasomes in genotoxic stress. Doklady Biochemistry and Biophysics. 435(1). 307–311. 7 indexed citations

20.

Fedorova, Olga, А. С. Цимоха, Tatiana N. Moiseeva, et al.. (2010). 26S proteasome exhibits endoribonuclease activity controlled by extra-cellular stimuli. Cell Cycle. 9(4). 840–849. 37 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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