О. В. Маркова

1.4k total citations
65 papers, 1.1k citations indexed

About

О. В. Маркова is a scholar working on Molecular Biology, Algebra and Number Theory and Computational Theory and Mathematics. According to data from OpenAlex, О. В. Маркова has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 23 papers in Algebra and Number Theory and 23 papers in Computational Theory and Mathematics. Recurrent topics in О. В. Маркова's work include Matrix Theory and Algorithms (22 papers), Advanced Topics in Algebra (21 papers) and Mitochondrial Function and Pathology (17 papers). О. В. Маркова is often cited by papers focused on Matrix Theory and Algorithms (22 papers), Advanced Topics in Algebra (21 papers) and Mitochondrial Function and Pathology (17 papers). О. В. Маркова collaborates with scholars based in Russia, Tajikistan and Germany. О. В. Маркова's co-authors include Vladimir P. Skulachev, Fedor F. Severin, Dmitry A. Knorre, E. N. Mokhova, Anthony A. Hyman, Andrei Pozniakovsky, В. Н. Самарцев, Ekaterina A. Smirnova, Tatyana I. Rokitskaya and Inna I. Severina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

О. В. Маркова

61 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
О. В. Маркова Russia 15 692 155 136 126 104 65 1.1k
Nicholas J. Kuhn United Kingdom 30 828 1.2× 278 1.8× 32 0.2× 310 2.5× 39 0.4× 125 2.5k
Lun Zhang China 18 609 0.9× 115 0.7× 26 0.2× 20 0.2× 56 0.5× 61 1.1k
Kentaro Ihara Japan 18 640 0.9× 75 0.5× 51 0.4× 225 1.8× 55 0.5× 41 1.1k
Steve O’Hagan United Kingdom 21 1.0k 1.5× 85 0.5× 172 1.3× 72 0.7× 36 1.8k
Juan D. Chavez United States 31 1.8k 2.7× 189 1.2× 103 0.8× 206 2.0× 65 2.8k
Seyed Shahriar Arab Iran 20 761 1.1× 89 0.6× 184 1.4× 74 0.7× 87 1.2k
Angelo D. Favia United Kingdom 17 925 1.3× 97 0.6× 413 3.0× 68 0.7× 29 1.7k
Montserrat Soler‐López France 20 1.4k 2.1× 113 0.7× 112 0.8× 82 0.8× 40 2.1k
Pierre‐Alain Binz Switzerland 27 2.3k 3.3× 107 0.7× 32 0.2× 45 0.4× 74 2.9k
Ondřej Strnad Saudi Arabia 7 1.1k 1.6× 39 0.3× 136 1.0× 64 0.6× 19 1.5k

Countries citing papers authored by О. В. Маркова

Since Specialization
Citations

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

Fields of papers citing papers by О. В. Маркова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by О. В. Маркова. 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 О. В. Маркова. The network helps show where О. В. Маркова may publish in the future.

Co-authorship network of co-authors of О. В. Маркова

This figure shows the co-authorship network connecting the top 25 collaborators of О. В. Маркова. A scholar is included among the top collaborators of О. В. Маркова 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 О. В. Маркова. О. В. Маркова 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.
Andrianova, Nadezda V., Ljubava D. Zorova, Irina B. Pevzner, et al.. (2023). Fibrosis Development Linked to Alterations in Glucose and Energy Metabolism and Prooxidant–Antioxidant Balance in Experimental Models of Liver Injury. Antioxidants. 12(8). 1604–1604. 4 indexed citations
2.
Маркова, О. В.. (2023). Length Function and Simultaneous Triangularization of Matrix Pairs. Journal of Mathematical Sciences. 272(4). 566–573.
3.
Маркова, О. В., et al.. (2022). Attenuated ADP-inhibition of FOF1 ATPase mitigates manifestations of mitochondrial dysfunction in yeast. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1863(5). 148544–148544. 6 indexed citations
4.
Golyshev, S. A., et al.. (2020). Mitochondrial dynamics in yeast with repressed adenine nucleotide translocator AAC2. European Journal of Cell Biology. 99(2-3). 151071–151071. 4 indexed citations
5.
Маркова, О. В., et al.. (2018). Length realizability for pairs of quasi-commuting matrices. Linear Algebra and its Applications. 568. 135–154. 10 indexed citations
6.
Соколов, С. С., et al.. (2017). Triosephosphates as intermediates of the Crabtree effect. Biochemistry (Moscow). 82(4). 458–464. 3 indexed citations
7.
Маркова, О. В., et al.. (2015). Lengths of quasi-commutative pairs of matrices. Linear Algebra and its Applications. 498. 450–470. 7 indexed citations
8.
Knorre, Dmitry A., О. В. Маркова, Ekaterina A. Smirnova, et al.. (2014). Dodecyltriphenylphosphonium inhibits multiple drug resistance in the yeast Saccharomyces cerevisiae. Biochemical and Biophysical Research Communications. 450(4). 1481–1484. 10 indexed citations
9.
Antonenko, Yuri N., Ljudmila S. Khailova, Dmitry A. Knorre, et al.. (2013). Penetrating Cations Enhance Uncoupling Activity of Anionic Protonophores in Mitochondria. PLoS ONE. 8(4). e61902–e61902. 39 indexed citations
10.
Antonenko, Yuri N., A. V. Avetisyan, Dmitry A. Cherepanov, et al.. (2011). Derivatives of Rhodamine 19 as Mild Mitochondria-targeted Cationic Uncouplers. Journal of Biological Chemistry. 286(20). 17831–17840. 79 indexed citations
11.
Knorre, Dmitry A., et al.. (2011). Accumulation of dodecyltriphenylphosphonium in mitochondria induces their swelling and ROS-dependent growth inhibition in yeast. Journal of Bioenergetics and Biomembranes. 43(2). 175–180. 8 indexed citations
12.
Knorre, Dmitry A., Ekaterina A. Smirnova, О. В. Маркова, Maxim Sorokin, & Fedor F. Severin. (2010). Prooxidants prevent yeast cell death induced by genotoxic stress. Cell Biology International. 35(5). 431–435. 4 indexed citations
13.
Маркова, О. В.. (2009). Upper bound for the length of commutative algebras. Sbornik Mathematics. 200(12). 1767–1787. 9 indexed citations
14.
Knorre, Dmitry A., et al.. (2009). Amiodarone inhibits multiple drug resistance in yeast Saccharomyces cerevisiae. Archives of Microbiology. 191(8). 675–679. 6 indexed citations
15.
Маркова, О. В., et al.. (2008). Commutative matrix subalgebras and length function. Linear Algebra and its Applications. 430(7). 1790–1805. 22 indexed citations
16.
Маркова, О. В., et al.. (2003). Cytochrome c is transformed from anti- to pro-oxidant when interacting with truncated oncoprotein prothymosin α. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1557(1-3). 109–117. 19 indexed citations
17.
Попов, В. Н., О. В. Маркова, E. N. Mokhova, & Vladimir P. Skulachev. (2002). Effects of cold exposure in vivo and uncouplers and recouplers in vitro on potato tuber mitochondria. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1553(3). 232–237. 15 indexed citations
18.
19.
Самарцев, В. Н., Ruben A. Simonyan, О. В. Маркова, E. N. Mokhova, & Vladimir P. Skulachev. (2000). Comparative study on uncoupling effects of laurate and lauryl sulfate on rat liver and skeletal muscle mitochondria. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1459(1). 179–190. 21 indexed citations
20.
Маркова, О. В., et al.. (1990). The abnormal-shaped mitochondria in thymus lymphocytes treated with inhibitors of mitochondrial energetics. Journal of Bioenergetics and Biomembranes. 22(1). 51–59. 10 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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