Maxim V. Skulachev

4.0k total citations
50 papers, 1.7k citations indexed

About

Maxim V. Skulachev is a scholar working on Molecular Biology, Aging and Plant Science. According to data from OpenAlex, Maxim V. Skulachev has authored 50 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Aging and 9 papers in Plant Science. Recurrent topics in Maxim V. Skulachev's work include Mitochondrial Function and Pathology (16 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and Plant Virus Research Studies (8 papers). Maxim V. Skulachev is often cited by papers focused on Mitochondrial Function and Pathology (16 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and Plant Virus Research Studies (8 papers). Maxim V. Skulachev collaborates with scholars based in Russia, Tajikistan and Germany. Maxim V. Skulachev's co-authors include Vladimir P. Skulachev, J.G. Atabekov, M. Yu. Vyssokikh, Ivanov Pa, Fedor F. Severin, Galina A. Korshunova, Konstantin G. Lyamzaev, Yu. L. Dorokhov, Susanne Holtze and Thomas B. Hildebrandt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physiological Reviews and SHILAP Revista de lepidopterología.

In The Last Decade

Maxim V. Skulachev

47 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim V. Skulachev Russia 23 1.0k 274 264 203 98 50 1.7k
Stefaan Wera Belgium 23 1.8k 1.8× 583 2.1× 309 1.2× 69 0.3× 34 0.3× 49 2.6k
Elisabeth Christians France 31 2.4k 2.3× 384 1.4× 101 0.4× 359 1.8× 121 1.2× 61 3.0k
Rivka Ofir Israel 31 1.6k 1.6× 149 0.5× 400 1.5× 33 0.2× 117 1.2× 93 3.1k
Antonio Miranda–Vizuete Spain 39 3.2k 3.1× 362 1.3× 161 0.6× 565 2.8× 25 0.3× 105 4.5k
Marc-Édouard Mirault Canada 30 3.1k 3.0× 253 0.9× 303 1.1× 152 0.7× 32 0.3× 48 4.0k
Marta Artal‐Sanz Spain 21 1.6k 1.5× 255 0.9× 74 0.3× 453 2.2× 38 0.4× 37 2.2k
Naomi Melamed‐Book Israel 30 1.1k 1.1× 183 0.7× 457 1.7× 29 0.1× 29 0.3× 55 2.0k
Chong Li China 31 1.8k 1.8× 317 1.2× 324 1.2× 28 0.1× 32 0.3× 125 3.4k
Hiromi Daiyasu Japan 18 864 0.8× 166 0.6× 517 2.0× 41 0.2× 25 0.3× 26 1.6k

Countries citing papers authored by Maxim V. Skulachev

Since Specialization
Citations

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

Fields of papers citing papers by Maxim V. Skulachev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxim V. Skulachev. 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 Maxim V. Skulachev. The network helps show where Maxim V. Skulachev may publish in the future.

Co-authorship network of co-authors of Maxim V. Skulachev

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim V. Skulachev. A scholar is included among the top collaborators of Maxim V. Skulachev 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 Maxim V. Skulachev. Maxim V. Skulachev 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.
Nazarov, Pavel A., Alexander M. Firsov, Marina V. Karakozova, et al.. (2024). Rhodamine 19 Alkyl Esters as Effective Antibacterial Agents. International Journal of Molecular Sciences. 25(11). 6137–6137.
2.
Skulachev, Vladimir P., M. Yu. Vyssokikh, Boris V. Chernyak, et al.. (2023). Mitochondrion-targeted antioxidant SkQ1 prevents rapid animal death caused by highly diverse shocks. Scientific Reports. 13(1). 4326–4326. 16 indexed citations
3.
Nazarov, Pavel A., Konstantin B. Majorov, Alexander Apt, & Maxim V. Skulachev. (2023). Penetration of Triphenylphosphonium Derivatives through the Cell Envelope of Bacteria of Mycobacteriales Order. Pharmaceuticals. 16(5). 688–688. 7 indexed citations
4.
Шеремет, Н Л, et al.. (2022). Electrophysiological and psychophysical studies in assessment of visual functions in patients with hereditary optic neuropathy. Russian Annals of Ophthalmology. 138(2). 5–5. 1 indexed citations
5.
Ланкин, В. З., et al.. (2021). AICAR Protects Vascular Endothelial Cells from Oxidative Injury Induced by the Long-Term Palmitate Excess. International Journal of Molecular Sciences. 23(1). 211–211. 19 indexed citations
6.
Holtze, Susanne, Е. А. Горшкова, Stan Braude, et al.. (2021). Alternative Animal Models of Aging Research. Frontiers in Molecular Biosciences. 8. 660959–660959. 76 indexed citations
7.
Skulachev, Vladimir P., et al.. (2020). Perspectives of Homo sapiens lifespan extension: focus on external or internal resources?. Aging. 12(6). 5566–5584. 20 indexed citations
8.
Skulachev, Maxim V. & Vladimir P. Skulachev. (2018). Phenoptosis: Programmed Death of an Organism. PubMed. 64(12). 237–288. 30 indexed citations
9.
Korshunova, Galina A., et al.. (2017). Design, synthesis, and some aspects of the biological activity of mitochondria-targeted antioxidants. Biochemistry (Moscow). 82(7). 760–777. 20 indexed citations
10.
11.
Zinovkin, Roman A., Maxim V. Skulachev, & Vladimir P. Skulachev. (2016). Mitochondrial genome and longevity. Biochemistry (Moscow). 81(12). 1401–1405. 8 indexed citations
12.
Попова, Т. Н., et al.. (2015). Influence of 10-(6′-plastoquinonyl)decyltriphenylphosphonium (SkQ1) on oxidative status in rats with protamine sulfate-induced hyperglycemia. Biochemistry (Moscow). 80(12). 1606–1613. 6 indexed citations
13.
Plotnikov, Egor Y., Д. Н. Силачев, Ljubava D. Zorova, et al.. (2014). Lithium salts — Simple but magic. Biochemistry (Moscow). 79(8). 740–749. 23 indexed citations
14.
Шабанов, А. К., et al.. (2014). Oxidative Distress in Patients with Polytrauma. General Reanimatology. 10(2). 23–23. 1 indexed citations
15.
Skulachev, Maxim V. & Vladimir P. Skulachev. (2014). New data on programmed aging — slow phenoptosis. Biochemistry (Moscow). 79(10). 977–993. 36 indexed citations
16.
Zinovkin, Roman A., L. E. Bakeeva, Boris V. Chernyak, et al.. (2014). Systems Biology of Free Radicals and Antioxidants. 15 indexed citations
17.
Vyssokikh, M. Yu., Boris V. Chernyak, L. V. Domnina, et al.. (2013). SkBQ — Prooxidant addressed to mitochondria. Biochemistry (Moscow). 78(12). 1366–1370. 5 indexed citations
18.
Chernyak, Boris V., Yuri N. Antonenko, Evgeniy R. Galimov, et al.. (2012). Novel mitochondria-targeted compounds composed of natural constituents: Conjugates of plant alkaloids berberine and palmatine with plastoquinone. Biochemistry (Moscow). 77(9). 983–995. 16 indexed citations
19.
Lyamzaev, Konstantin G., Antonina V. Pustovidko, Ruben A. Simonyan, et al.. (2011). Novel Mitochondria-Targeted Antioxidants: Plastoquinone Conjugated with Cationic Plant Alkaloids Berberine and Palmatine. Pharmaceutical Research. 28(11). 2883–2895. 43 indexed citations
20.
Pa, Ivanov, et al.. (1997). A Tobamovirus Genome That Contains an Internal Ribosome Entry Site Functionalin Vitro. Virology. 232(1). 32–43. 59 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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