Alexey Moskalev

9.3k total citations · 1 hit paper
189 papers, 4.3k citations indexed

About

Alexey Moskalev is a scholar working on Aging, Molecular Biology and Physiology. According to data from OpenAlex, Alexey Moskalev has authored 189 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Aging, 70 papers in Molecular Biology and 37 papers in Physiology. Recurrent topics in Alexey Moskalev's work include Genetics, Aging, and Longevity in Model Organisms (89 papers), Spaceflight effects on biology (15 papers) and Circadian rhythm and melatonin (14 papers). Alexey Moskalev is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (89 papers), Spaceflight effects on biology (15 papers) and Circadian rhythm and melatonin (14 papers). Alexey Moskalev collaborates with scholars based in Russia, United States and United Kingdom. Alexey Moskalev's co-authors include Mikhail Shaposhnikov, Alex Zhavoronkov, Ekaterina Plyusnina, Anna V. Kudryavtseva, Ekaterina Proshkina, Alexander Aliper, George S. Krasnov, Vadim E. Fraifeld, Arie Budovsky and Nadezhda Zemskaya and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Alexey Moskalev

174 papers receiving 4.2k citations

Hit Papers

Mitochondrial dysfunction... 2016 2026 2019 2022 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Mitochondrial dysfunction and oxidative stress in aging and cancer
    2016 407 citations Anna V. Kudryavtseva, George S. Krasnov et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexey Moskalev Russia 36 1.9k 1.3k 870 319 278 189 4.3k
Naoaki Ishii Japan 31 2.2k 1.2× 1.8k 1.4× 826 0.9× 344 1.1× 460 1.7× 103 4.1k
Bin Liang China 31 1.6k 0.8× 520 0.4× 664 0.8× 409 1.3× 218 0.8× 127 3.4k
Florian L. Müller United States 34 4.1k 2.2× 729 0.6× 1.8k 2.1× 520 1.6× 199 0.7× 71 6.5k
Catherine Au United Kingdom 25 1.5k 0.8× 1.2k 0.9× 570 0.7× 88 0.3× 315 1.1× 37 3.7k
Jason G. Wood United States 17 2.8k 1.5× 1.5k 1.1× 2.2k 2.5× 175 0.5× 308 1.1× 21 6.4k
Morten Scheibye‐Knudsen Denmark 33 2.7k 1.4× 548 0.4× 1.3k 1.5× 314 1.0× 167 0.6× 64 5.2k
Yuji Ikeno United States 41 2.8k 1.5× 1.8k 1.4× 2.5k 2.9× 412 1.3× 598 2.2× 97 6.1k
Vladimir N. Anisimov Russia 39 2.5k 1.3× 1.4k 1.1× 1.8k 2.1× 577 1.8× 1.3k 4.7× 235 5.9k
Efstathios S. Gonos Greece 42 3.2k 1.7× 725 0.6× 1.5k 1.7× 461 1.4× 162 0.6× 118 6.0k
Xiaochen Wang China 34 2.0k 1.0× 853 0.6× 531 0.6× 237 0.7× 182 0.7× 116 4.6k

Countries citing papers authored by Alexey Moskalev

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Moskalev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Moskalev

This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Moskalev. A scholar is included among the top collaborators of Alexey Moskalev 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 Alexey Moskalev. Alexey Moskalev 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.
Guvatova, Zulfiya G., Yuri M. Efremov, Peter Timashev, et al.. (2025). Changes in Gene Expression Patterns in Young and Senescent Fibroblasts in Glycated Three-Dimensional Collagen Matrices. International Journal of Molecular Sciences. 26(10). 4769–4769.
2.
Zemskaya, Nadezhda, et al.. (2025). Sex-dependent geroprotective effects of malvidin in Drosophila melanogaster. Biogerontology. 26(4). 144–144.
3.
Proshkina, Ekaterina, et al.. (2024). Polyphenols as Potential Geroprotectors. Antioxidants and Redox Signaling. 40(7-9). 564–593. 10 indexed citations
4.
Krasnov, George S., David G. Garbuz, Mikhail Shaposhnikov, et al.. (2023). Transcriptomic Analysis of the Effect of Torin-2 on the Central Nervous System of Drosophila melanogaster. International Journal of Molecular Sciences. 24(10). 9095–9095.
5.
Proshkina, Ekaterina, et al.. (2023). <i>Drosophila melanogaster</i> Lifespan Is Regulated by <i>nejire</i> Gene Expression in Peripheral Tissues and Nervous System. Молекулярная биология. 57(5). 833–852.
6.
Moskalev, Alexey, et al.. (2023). Blood Markers of Biological Age Evaluates Clinic Complex Medical Spa Programs. Biomedicines. 11(2). 625–625. 2 indexed citations
7.
Zemskaya, Nadezhda, et al.. (2023). The Antioxidant and Geroprotective Properties of an Extract of Mountain Ash (Sorbus aucuparia L.) Fruits. Molecular Biology. 57(6). 978–992. 5 indexed citations
8.
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10.
Kalyakulina, Alena, Igor Yusipov, Alexey Moskalev, Claudio Franceschi, & Mikhail Ivanchenko. (2023). eXplainable Artificial Intelligence (XAI) in aging clock models. Ageing Research Reviews. 93. 102144–102144. 23 indexed citations
11.
12.
Zemskaya, Nadezhda, et al.. (2022). Honeysuckle extract (Lonicera pallasii L.) exerts antioxidant properties and extends the lifespan and healthspan of Drosophila melanogaster. Biogerontology. 23(2). 215–235. 30 indexed citations
13.
Shaposhnikov, Mikhail, et al.. (2021). Geroprotective potential of genetic and pharmacological interventions to endogenous hydrogen sulfide synthesis in Drosophila melanogaster. Biogerontology. 22(2). 197–214. 5 indexed citations
14.
Maslov, Dmitry L., Nadezhda Zemskaya, Oxana P. Trifonova, et al.. (2021). Comparative Metabolomic Study of Drosophila Species with Different Lifespans. International Journal of Molecular Sciences. 22(23). 12873–12873. 5 indexed citations
15.
Parkhitko, Andrey A., et al.. (2020). Targeting metabolic pathways for extension of lifespan and healthspan across multiple species. Ageing Research Reviews. 64. 101188–101188. 49 indexed citations
16.
Toren, Dmitri, Eitan Rubin, Anna V. Kudryavtseva, et al.. (2020). Gray whale transcriptome reveals longevity adaptations associated with DNA repair and ubiquitination. Aging Cell. 19(7). e13158–e13158. 29 indexed citations
17.
Marusich, Elena, Elena A. Pudova, Anastasiya V. Snezhkina, et al.. (2020). Protective effects of carotenoid fucoxanthin in fibroblasts cellular senescence. Mechanisms of Ageing and Development. 189. 111260–111260. 29 indexed citations
18.
Proshkina, Ekaterina, et al.. (2020). Terpenoids as Potential Geroprotectors. Antioxidants. 9(6). 529–529. 93 indexed citations
19.
Putin, Evgeny, Polina Mamoshina, Alexander Aliper, et al.. (2016). Deep biomarkers of human aging: Application of deep neural networks to biomarker development. Aging. 8(5). 1021–1033. 231 indexed citations
20.
Moskalev, Alexey, et al.. (2016). Genetics of aging and longevity. Vavilov Journal of Genetics and Breeding. 20(4). 426–440. 2 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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