Sofya V. Lushchekina

2.5k total citations
102 papers, 1.9k citations indexed

About

Sofya V. Lushchekina is a scholar working on Pharmacology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Sofya V. Lushchekina has authored 102 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Pharmacology, 78 papers in Computational Theory and Mathematics and 37 papers in Organic Chemistry. Recurrent topics in Sofya V. Lushchekina's work include Cholinesterase and Neurodegenerative Diseases (83 papers), Computational Drug Discovery Methods (78 papers) and Pesticide Exposure and Toxicity (21 papers). Sofya V. Lushchekina is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (83 papers), Computational Drug Discovery Methods (78 papers) and Pesticide Exposure and Toxicity (21 papers). Sofya V. Lushchekina collaborates with scholars based in Russia, United States and France. Sofya V. Lushchekina's co-authors include Patrick Masson, Галина Ф. Махаева, Natalia P. Boltneva, Елена В. Рудакова, С. О. Бачурин, N. V. Kovaleva, Alexander V. Nemukhin, Rudy J. Richardson, С. Д. Варфоломеев and Olga G. Serebryakova and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Sofya V. Lushchekina

102 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
Sofya V. Lushchekina Russia 27 1.2k 924 766 598 306 102 1.9k
Галина Ф. Махаева Russia 26 1.1k 0.9× 743 0.8× 893 1.2× 461 0.8× 323 1.1× 132 1.9k
Rafael Doležal Czechia 25 802 0.6× 497 0.5× 623 0.8× 411 0.7× 281 0.9× 86 1.6k
J. Love United States 14 963 0.8× 726 0.8× 537 0.7× 1.0k 1.7× 257 0.8× 16 2.1k
Ludovic Jean France 26 1.2k 1.0× 535 0.6× 1.0k 1.3× 598 1.0× 713 2.3× 58 2.3k
Martina Hrabinová Czechia 26 1.2k 1.0× 580 0.6× 721 0.9× 321 0.5× 508 1.7× 92 1.9k
Gülberk Uçar Türkiye 30 888 0.7× 415 0.4× 1.4k 1.8× 665 1.1× 101 0.3× 91 2.6k
Leonardo Pisani Italy 29 1.4k 1.1× 738 0.8× 1.5k 1.9× 810 1.4× 134 0.4× 74 3.0k
Jie Hou China 30 771 0.6× 375 0.4× 284 0.4× 1.1k 1.8× 168 0.5× 56 2.4k
Alessandra Bisi Italy 33 1.6k 1.3× 1.0k 1.1× 1.5k 2.0× 990 1.7× 181 0.6× 120 3.3k
Sai‐Sai Xie China 25 1.1k 0.9× 669 0.7× 764 1.0× 554 0.9× 117 0.4× 57 2.0k

Countries citing papers authored by Sofya V. Lushchekina

Since Specialization
Citations

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

Fields of papers citing papers by Sofya V. Lushchekina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofya V. Lushchekina

This figure shows the co-authorship network connecting the top 25 collaborators of Sofya V. Lushchekina. A scholar is included among the top collaborators of Sofya V. Lushchekina 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 Sofya V. Lushchekina. Sofya V. Lushchekina 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.
McBride, J. Michael, Marta Siek, Jacques Rougemont, et al.. (2025). Enzymes as viscoelastic catalytic machines. Nature Physics. 21(5). 787–798. 4 indexed citations
2.
Махаева, Галина Ф., N. V. Kovaleva, Елена В. Рудакова, et al.. (2024). Combining Experimental and Computational Methods to Produce Conjugates of Anticholinesterase and Antioxidant Pharmacophores with Linker Chemistries Affecting Biological Activities Related to Treatment of Alzheimer’s Disease. Molecules. 29(2). 321–321. 11 indexed citations
3.
Махаева, Галина Ф., N. V. Kovaleva, Natalia P. Boltneva, et al.. (2024). Conjugates of amiridine and salicylic derivatives as promising multifunctional CNS agents for potential treatment of Alzheimer's disease. Archiv der Pharmazie. 358(1). e2400819–e2400819. 4 indexed citations
4.
Худина, О. Г., Галина Ф. Махаева, N. V. Kovaleva, et al.. (2023). Conjugates of amiridine and thiouracil derivatives as effective inhibitors of butyrylcholinesterase with the potential to block β‐amyloid aggregation. Archiv der Pharmazie. 357(2). e2300447–e2300447. 9 indexed citations
5.
Shchegolkov, Evgeny V., Галина Ф. Махаева, N. V. Kovaleva, et al.. (2022). New Multifunctional Agents for Potential Alzheimer’s Disease Treatment Based on Tacrine Conjugates with 2-Arylhydrazinylidene-1,3-Diketones. Biomolecules. 12(11). 1551–1551. 12 indexed citations
6.
Махаева, Галина Ф., N. V. Kovaleva, Natalia P. Boltneva, et al.. (2022). Bis-Amiridines as Acetylcholinesterase and Butyrylcholinesterase Inhibitors: N-Functionalization Determines the Multitarget Anti-Alzheimer’s Activity Profile. Molecules. 27(3). 1060–1060. 19 indexed citations
7.
Semenov, Vyacheslav E., et al.. (2022). Novel Uracil-Based Inhibitors of Acetylcholinesterase with Potency for Treating Memory Impairment in an Animal Model of Alzheimer’s Disease. Molecules. 27(22). 7855–7855. 6 indexed citations
8.
Masson, Patrick & Sofya V. Lushchekina. (2022). Conformational Stability and Denaturation Processes of Proteins Investigated by Electrophoresis under Extreme Conditions. Molecules. 27(20). 6861–6861. 41 indexed citations
9.
Махаева, Галина Ф., Yanina V. Burgart, Елена В. Рудакова, et al.. (2022). Conjugates of Tacrine with Salicylamide as Promising Multitarget Agents for Alzheimer's Disease. ChemMedChem. 17(10). e202200080–e202200080. 18 indexed citations
10.
Махаева, Галина Ф., Sofya V. Lushchekina, Natalia P. Boltneva, et al.. (2021). Novel potent bifunctional carboxylesterase inhibitors based on a polyfluoroalkyl-2-imino-1,3-dione scaffold. European Journal of Medicinal Chemistry. 218. 113385–113385. 17 indexed citations
11.
Burilova, Evgenia A., Tatiana N. Pashirova, Irina V. Zueva, et al.. (2020). Bi-functional sterically hindered phenol lipid-based delivery systems as potential multi-target agents against Alzheimer's disease via an intranasal route. Nanoscale. 12(25). 13757–13770. 22 indexed citations
12.
Zueva, Irina V., Sofya V. Lushchekina, Ian R. Pottie, Sultan Darvesh, & Patrick Masson. (2020). 1-(3-Tert-Butylphenyl)-2,2,2-Trifluoroethanone as a Potent Transition-State Analogue Slow-Binding Inhibitor of Human Acetylcholinesterase: Kinetic, MD and QM/MM Studies. Biomolecules. 10(12). 1608–1608. 7 indexed citations
13.
Lushchekina, Sofya V., Nicolás Martínez, Patrick Masson, et al.. (2020). Impact of Sucrose as Osmolyte on Molecular Dynamics of Mouse Acetylcholinesterase. Biomolecules. 10(12). 1664–1664. 11 indexed citations
14.
Semenov, Vyacheslav E., Irina V. Zueva, Marat A. Mukhamedyarov, et al.. (2020). Novel Acetylcholinesterase Inhibitors Based on Uracil Moiety for Possible Treatment of Alzheimer Disease. Molecules. 25(18). 4191–4191. 15 indexed citations
15.
Махаева, Галина Ф., N. V. Kovaleva, Елена В. Рудакова, et al.. (2020). New Multifunctional Agents Based on Conjugates of 4-Amino-2,3-polymethylenequinoline and Butylated Hydroxytoluene for Alzheimer’s Disease Treatment. Molecules. 25(24). 5891–5891. 38 indexed citations
16.
Zueva, Irina V., José Dias, Sofya V. Lushchekina, et al.. (2019). New evidence for dual binding site inhibitors of acetylcholinesterase as improved drugs for treatment of Alzheimer's disease. Neuropharmacology. 155. 131–141. 79 indexed citations
17.
Бачурин, С. О., Галина Ф. Махаева, E. F. Shevtsova, et al.. (2019). Conjugates of methylene blue with γ-carboline derivatives as new multifunctional agents for the treatment of neurodegenerative diseases. Scientific Reports. 9(1). 4873–4873. 24 indexed citations
18.
Semenov, Vyacheslav E., Irina V. Zueva, Sofya V. Lushchekina, et al.. (2019). 6-Methyluracil derivatives as peripheral site ligand-hydroxamic acid conjugates: Reactivation for paraoxon-inhibited acetylcholinesterase. European Journal of Medicinal Chemistry. 185. 111787–111787. 11 indexed citations
19.
Lushchekina, Sofya V. & Patrick Masson. (2018). Catalytic bioscavengers against organophosphorus agents: mechanistic issues of self-reactivating cholinesterases. Toxicology. 409. 91–102. 16 indexed citations
20.
Boyko, Konstantin M., Yu. M. Chesnokov, Michael Hons, et al.. (2018). 3D structure of the natural tetrameric form of human butyrylcholinesterase as revealed by cryoEM, SAXS and MD. Biochimie. 156. 196–205. 28 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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