Mikhail Shaposhnikov

2.9k total citations
87 papers, 2.0k citations indexed

About

Mikhail Shaposhnikov is a scholar working on Aging, Molecular Biology and Physiology. According to data from OpenAlex, Mikhail Shaposhnikov has authored 87 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Aging, 33 papers in Molecular Biology and 15 papers in Physiology. Recurrent topics in Mikhail Shaposhnikov's work include Genetics, Aging, and Longevity in Model Organisms (51 papers), Neurobiology and Insect Physiology Research (12 papers) and Circadian rhythm and melatonin (8 papers). Mikhail Shaposhnikov is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (51 papers), Neurobiology and Insect Physiology Research (12 papers) and Circadian rhythm and melatonin (8 papers). Mikhail Shaposhnikov collaborates with scholars based in Russia, United States and United Kingdom. Mikhail Shaposhnikov's co-authors include Alexey Moskalev, Ekaterina Plyusnina, Alex Zhavoronkov, Ekaterina Proshkina, Vadim E. Fraifeld, Arie Budovsky, Anna V. Kudryavtseva, Nadezhda Zemskaya, Hagai Yanai and Ilya Solovev and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mikhail Shaposhnikov

78 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Shaposhnikov Russia 26 867 712 415 198 169 87 2.0k
Robyn Branicky Canada 15 886 1.0× 425 0.6× 308 0.7× 138 0.7× 252 1.5× 20 2.2k
Kayo Yasuda Japan 27 1.9k 2.2× 947 1.3× 763 1.8× 203 1.0× 161 1.0× 63 3.5k
Niki Chondrogianni Greece 32 2.2k 2.6× 582 0.8× 849 2.0× 128 0.6× 124 0.7× 73 3.6k
Antonio Miranda–Vizuete Spain 39 3.2k 3.6× 565 0.8× 362 0.9× 105 0.5× 161 1.0× 105 4.5k
Asish R. Chaudhuri United States 21 1.4k 1.6× 627 0.9× 763 1.8× 135 0.7× 72 0.4× 43 2.5k
Filipe Cabreiro United Kingdom 20 1.5k 1.7× 730 1.0× 598 1.4× 70 0.4× 72 0.4× 32 2.4k
Laura M. Beaver United States 24 803 0.9× 145 0.2× 270 0.7× 178 0.9× 174 1.0× 45 1.7k
Naoaki Ishii Japan 31 2.2k 2.6× 1.8k 2.5× 826 2.0× 440 2.2× 135 0.8× 103 4.1k
Kelly Suino-Powell United States 25 1.9k 2.2× 310 0.4× 456 1.1× 269 1.4× 316 1.9× 33 3.5k
Filip Matthijssens Belgium 16 923 1.1× 928 1.3× 325 0.8× 62 0.3× 70 0.4× 32 1.7k

Countries citing papers authored by Mikhail Shaposhnikov

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Shaposhnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Shaposhnikov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Shaposhnikov. A scholar is included among the top collaborators of Mikhail Shaposhnikov 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 Mikhail Shaposhnikov. Mikhail Shaposhnikov 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.
Zemskaya, Nadezhda, et al.. (2025). Sex-dependent geroprotective effects of malvidin in Drosophila melanogaster. Biogerontology. 26(4). 144–144.
2.
Proshkina, Ekaterina, et al.. (2024). Polyphenols as Potential Geroprotectors. Antioxidants and Redox Signaling. 40(7-9). 564–593. 10 indexed citations
3.
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.
4.
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.
5.
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
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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
9.
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
10.
Proshkina, Ekaterina, et al.. (2020). Terpenoids as Potential Geroprotectors. Antioxidants. 9(6). 529–529. 93 indexed citations
11.
Proshkina, Ekaterina, et al.. (2020). Ключевые молекулярные механизмы старения, биомаркеры и потенциальные интервенции. Молекулярная биология. 54(6). 883–921. 12 indexed citations
12.
Proshkina, Ekaterina, Mikhail Shaposhnikov, & Alexey Moskalev. (2020). Genome-Protecting Compounds as Potential Geroprotectors. International Journal of Molecular Sciences. 21(12). 4484–4484. 26 indexed citations
13.
Moskalev, Alexey, Zulfiya G. Guvatova, Mikhail Shaposhnikov, et al.. (2019). The Neuronal Overexpression of Gclc in Drosophila melanogaster Induces Life Extension With Longevity-Associated Transcriptomic Changes in the Thorax. Frontiers in Genetics. 10. 149–149. 9 indexed citations
14.
15.
Solovev, Ilya, et al.. (2018). Neuron-specific overexpression of core clock genes improves stress-resistance and extends lifespan of Drosophila melanogaster. Experimental Gerontology. 117. 61–71. 13 indexed citations
16.
Shaposhnikov, Mikhail, et al.. (2018). Overexpression of CBS and CSE genes affects lifespan, stress resistance and locomotor activity in Drosophila melanogaster. Aging. 10(11). 3260–3272. 21 indexed citations
17.
Solovev, Ilya, et al.. (2018). Circadian clock genes’ overexpression in Drosophila alters diet impact on lifespan. Biogerontology. 20(2). 159–170. 12 indexed citations
18.
Plyusnina, Ekaterina, George S. Krasnov, Alexey A. Dmitriev, et al.. (2015). Effect of Low Doses (5-40 cGy) of Gamma-irradiation on Lifespan and Stress-related Genes Expression Profile in Drosophila melanogaster. PLoS ONE. 10(8). e0133840–e0133840. 46 indexed citations
19.
He, Chong, Scott Tsuchiyama, Quynh Thi Thuy Nguyen, et al.. (2014). Enhanced Longevity by Ibuprofen, Conserved in Multiple Species, Occurs in Yeast through Inhibition of Tryptophan Import. PLoS Genetics. 10(12). e1004860–e1004860. 77 indexed citations
20.
Omelyanchuk, L. V., et al.. (2014). Role of tumor suppressor genes in aging and longevity mechanisms in Drosophila melanogaster. Russian Journal of Genetics Applied Research. 4(1). 8–14. 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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