Alexander Yakimov

615 total citations
23 papers, 441 citations indexed

About

Alexander Yakimov is a scholar working on Molecular Biology, Physiology and Geriatrics and Gerontology. According to data from OpenAlex, Alexander Yakimov has authored 23 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Geriatrics and Gerontology. Recurrent topics in Alexander Yakimov's work include RNA and protein synthesis mechanisms (6 papers), Calcium signaling and nucleotide metabolism (5 papers) and Sirtuins and Resveratrol in Medicine (4 papers). Alexander Yakimov is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Calcium signaling and nucleotide metabolism (5 papers) and Sirtuins and Resveratrol in Medicine (4 papers). Alexander Yakimov collaborates with scholars based in Russia, Norway and United States. Alexander Yakimov's co-authors include Mikhail Khodorkovskiy, Michael Petukhov, Dmitry Baitin, Mathias Ziegler, Andrey Nikiforov, Marie E. Migaud, Veronika Kulikova, Konstantin A. Shabalin, М. А. Ходорковский and Ljudmila Solovjeva and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Alexander Yakimov

23 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Yakimov Russia 12 241 109 102 91 36 23 441
Jessica De Ingeniis United States 10 420 1.7× 26 0.2× 35 0.3× 62 0.7× 5 0.1× 10 585
Samuel G. Gattis United States 11 501 2.1× 19 0.2× 18 0.2× 192 2.1× 8 0.2× 12 600
Katrin Bäsell Germany 10 452 1.9× 16 0.1× 10 0.1× 41 0.5× 32 0.9× 10 813
Sara Cheek United States 6 360 1.5× 18 0.2× 18 0.2× 22 0.2× 14 0.4× 6 437
Angela Bisso Italy 9 361 1.5× 15 0.1× 55 0.5× 25 0.3× 4 0.1× 10 529
Susan Heffron United States 8 320 1.3× 16 0.1× 7 0.1× 47 0.5× 22 0.6× 8 460
Isabelle Kuhn France 10 159 0.7× 30 0.3× 95 0.9× 57 0.6× 15 335
Mizuki Sekiya Japan 15 401 1.7× 5 0.0× 11 0.1× 20 0.2× 18 0.5× 26 602
Rosa Marı́a Pinto Spain 12 299 1.2× 8 0.1× 123 1.2× 61 0.7× 8 0.2× 28 447
Daniela Micozzi Italy 9 161 0.7× 15 0.1× 29 0.3× 51 0.6× 13 332

Countries citing papers authored by Alexander Yakimov

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Yakimov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Yakimov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Yakimov. A scholar is included among the top collaborators of Alexander Yakimov 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 Alexander Yakimov. Alexander Yakimov 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.
Shabalin, Konstantin A., E. Yu. Varfolomeeva, R. A. Kovalev, et al.. (2024). OCT4 Expression in Gliomas Is Dependent on Cell Metabolism. Current Issues in Molecular Biology. 46(2). 1107–1120. 1 indexed citations
2.
Eliseev, Igor E., et al.. (2023). Strain Streptomyces sp. P-56 Produces Nonactin and Possesses Insecticidal, Acaricidal, Antimicrobial and Plant Growth-Promoting Traits. Microorganisms. 11(3). 764–764. 12 indexed citations
3.
Morozova, Natalia, et al.. (2022). Single-molecule characterization of compressed RecA nucleoprotein filaments. Biochemical and Biophysical Research Communications. 614. 29–33. 4 indexed citations
4.
5.
Kropotov, Andrey, Veronika Kulikova, Ljudmila Solovjeva, et al.. (2022). Purine nucleoside phosphorylase controls nicotinamide riboside metabolism in mammalian cells. Journal of Biological Chemistry. 298(12). 102615–102615. 14 indexed citations
6.
Kropotov, Andrey, Veronika Kulikova, Alexander Yakimov, et al.. (2021). Equilibrative Nucleoside Transporters Mediate the Import of Nicotinamide Riboside and Nicotinic Acid Riboside into Human Cells. International Journal of Molecular Sciences. 22(3). 1391–1391. 40 indexed citations
7.
Yakimov, Alexander, et al.. (2021). Targeting evolution of antibiotic resistance by SOS response inhibition. Computational and Structural Biotechnology Journal. 19. 777–783. 22 indexed citations
8.
Pobegalov, Georgii, et al.. (2020). Single‐molecule analysis reveals two distinct states of the compressed RecA filament on single‐stranded DNA. FEBS Letters. 594(21). 3464–3476. 4 indexed citations
9.
Vv, Egorov, et al.. (2019). Time machine: Can a dye from 1928 be re-purposed for modern, fluorescence-based detection of amyloid-like fibrils?. Dyes and Pigments. 172. 107863–107863. 4 indexed citations
10.
VKh, Khavinson, N. S. Linkova, Alexander Yakimov, et al.. (2019). Systematic search for structural motifs of peptide binding to double-stranded DNA. Nucleic Acids Research. 47(20). 10553–10563. 29 indexed citations
11.
Solovjeva, Ljudmila, Andrey Panchenko, Konstantin A. Shabalin, et al.. (2018). Analysis of NAD and NAD-Dependent Protein Deacetylation in Mouse Tissues. Cell and Tissue Biology. 12(6). 491–495. 1 indexed citations
12.
Shabalin, Konstantin A., Alexander Yakimov, Veronika Kulikova, et al.. (2018). NAD Metabolome Analysis in Human Cells Using 1H NMR Spectroscopy. International Journal of Molecular Sciences. 19(12). 3906–3906. 28 indexed citations
13.
Yakimov, Alexander, et al.. (2017). Blocking the RecA activity and SOS-response in bacteria with a short α-helical peptide. Nucleic Acids Research. 45(16). 9788–9796. 34 indexed citations
14.
Metelev, Mikhail, Ilya А. Osterman, Dmitry Ghilarov, et al.. (2017). Klebsazolicin inhibits 70S ribosome by obstructing the peptide exit tunnel. Nature Chemical Biology. 13(10). 1129–1136. 50 indexed citations
15.
16.
Kulikova, Veronika, Konstantin A. Shabalin, Christian Dölle, et al.. (2015). Generation, Release, and Uptake of the NAD Precursor Nicotinic Acid Riboside by Human Cells. Journal of Biological Chemistry. 290(45). 27124–27137. 64 indexed citations
17.
Yakimov, Alexander, et al.. (2014). Possible Function of the ribT Gene of Bacillus subtilis: Theoretical Prediction, Cloning, and Expression. Acta Naturae. 6(3). 106–109. 7 indexed citations
18.
Yakimov, Alexander, et al.. (2014). De Novo Design of Stable α-Helices. Methods in molecular biology. 1216. 1–14. 7 indexed citations
19.
Petukhov, Michael, Martin Bommer, Tracey Barrett, et al.. (2012). Large-Scale Conformational Flexibility Determines the Properties of AAA+ TIP49 ATPases. Structure. 20(8). 1321–1331. 25 indexed citations
20.
Shumilina, Elena, et al.. (2012). Structural Insights into Interaction between Mammalian Methionine Sulfoxide Reductase B1 and Thioredoxin. SHILAP Revista de lepidopterología. 2012. 1–9. 9 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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