Sofya Pchelina

752 total citations
29 papers, 387 citations indexed

About

Sofya Pchelina is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Sofya Pchelina has authored 29 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 12 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in Sofya Pchelina's work include Lysosomal Storage Disorders Research (12 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Extracellular vesicles in disease (7 papers). Sofya Pchelina is often cited by papers focused on Lysosomal Storage Disorders Research (12 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Extracellular vesicles in disease (7 papers). Sofya Pchelina collaborates with scholars based in Russia, Canada and France. Sofya Pchelina's co-authors include Anton Emelyanov, Irina Miliukhina, Tatiana Shtam, Andrey L. Konevega, Luiza Garaeva, Roman Kamyshinsky, Н. А. Верлов, Ekaterina Zakharova, Tatiana Usenko and Konstantin Senkevich and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Sofya Pchelina

27 papers receiving 385 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 Pchelina Russia 11 210 128 125 80 59 29 387
Aine Brigette Henley Sweden 6 224 1.1× 91 0.7× 31 0.2× 108 1.4× 25 0.4× 6 390
Jiaqi Ding China 11 173 0.8× 93 0.7× 53 0.4× 67 0.8× 14 0.2× 35 400
Gema Sanz Sweden 10 252 1.2× 32 0.3× 36 0.3× 58 0.7× 41 0.7× 13 444
Yanying Xu China 7 177 0.8× 26 0.2× 48 0.4× 47 0.6× 25 0.4× 13 346
Tongcui Jiang China 10 172 0.8× 89 0.7× 32 0.3× 40 0.5× 79 1.3× 17 427
Xinxin Zuo United States 4 469 2.2× 84 0.7× 57 0.5× 230 2.9× 11 0.2× 6 594
Sabrina Engelhardt Switzerland 6 148 0.7× 38 0.3× 35 0.3× 71 0.9× 14 0.2× 7 404
Peter Schneiderat Germany 13 487 2.3× 29 0.2× 50 0.4× 42 0.5× 32 0.5× 19 598
Ziheng Chen China 10 266 1.3× 33 0.3× 43 0.3× 48 0.6× 54 0.9× 17 425
Orly Ravid Israel 12 144 0.7× 18 0.1× 48 0.4× 43 0.5× 32 0.5× 16 338

Countries citing papers authored by Sofya Pchelina

Since Specialization
Citations

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

Fields of papers citing papers by Sofya Pchelina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofya Pchelina

This figure shows the co-authorship network connecting the top 25 collaborators of Sofya Pchelina. A scholar is included among the top collaborators of Sofya Pchelina 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 Pchelina. Sofya Pchelina 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.
Usenko, Tatiana, Luiza Garaeva, Irina Miliukhina, et al.. (2025). p.N370S GBA1 Mutation Influences the Morphology and Lipid Composition of Extracellular Vesicles in Blood Plasma from Patients with Parkinson’s Disease. International Journal of Molecular Sciences. 26(18). 9152–9152.
2.
3.
Emelyanov, Anton, Tatiana Usenko, Irina Miliukhina, et al.. (2024). Blood Glucocerebrosidase Activity and α-Synuclein Levels in Patients with GBA1-Associated Parkinson's Disease and Asymptomatic <i>GBA1</i> Mutation Carriers. SHILAP Revista de lepidopterología. 18(3). 50–57. 1 indexed citations
4.
Senkevich, Konstantin, Eric Yu, Jamil Ahmad, et al.. (2024). Are rare heterozygous SYNJ1 variants associated with Parkinson’s disease?. npj Parkinson s Disease. 10(1). 201–201.
5.
Usenko, Tatiana, Galina Baydakova, Anton Emelyanov, et al.. (2024). The Effect of p.G2019S Mutation in the LRRK2 Gene on the Activity of Lysosomal Hydrolases and the Clinical Features of Parkinson's Disease Associated with p.N370S Mutation in the GBA1 Gene. Journal of Integrative Neuroscience. 23(1). 16–16. 6 indexed citations
6.
Иванова, О.Н., et al.. (2023). Pediatric Patients with Sitosterolemia: Next-Generation Sequencing and Biochemical Examination in Clinical Practice. Journal of Personalized Medicine. 13(10). 1492–1492. 1 indexed citations
7.
Usenko, Tatiana, Михаил Николаев, И. В. Шлык, et al.. (2023). Fraction of plasma exomeres and low-density lipoprotein cholesterol as a predictor of fatal outcome of COVID-19. PLoS ONE. 18(2). e0278083–e0278083. 2 indexed citations
8.
Kamyshinsky, Roman, et al.. (2023). Cryo-electron microscopy of adipose tissue extracellular vesicles in obesity and type 2 diabetes mellitus. PLoS ONE. 18(2). e0279652–e0279652. 10 indexed citations
9.
Usenko, Tatiana, et al.. (2023). Whole Transcriptome Analysis of Substantia Nigra in Mice with MPTP-Induced Parkinsonism Bearing Defective Glucocerebrosidase Activity. International Journal of Molecular Sciences. 24(15). 12164–12164. 7 indexed citations
10.
Григорьева, Е. В., Михаил Николаев, Farid M. Ibatullin, et al.. (2023). Potential Binding Sites of Pharmacological Chaperone NCGC00241607 on Mutant β-Glucocerebrosidase and Its Efficacy on Patient-Derived Cell Cultures in Gaucher and Parkinson’s Disease. International Journal of Molecular Sciences. 24(10). 9105–9105. 8 indexed citations
11.
Garaeva, Luiza, et al.. (2021). Abstract P-43: Effect of Glucocerebrosidase Dysfunction on the Pool of Plasma Exosomes of Patients with Gaucher Disease. SHILAP Revista de lepidopterología. 11(Suppl_1). S31–S31. 1 indexed citations
12.
Belyaeva, О. D., О. А. Беркович, Е. И. Баранова, et al.. (2021). ABCA1 and ABCG1 DNA methylation in epicardial adipose tissue of patients with coronary artery disease. BMC Cardiovascular Disorders. 21(1). 566–566. 16 indexed citations
13.
Senkevich, Konstantin, et al.. (2021). Parkinson’s Disease Associated with GBA Gene Mutations: Molecular Aspects and Potential Treatment Approaches. Acta Naturae. 13(2). 70–78. 11 indexed citations
14.
Иванова, О.Н., Yury A. Barbitoff, В. С. Гуревич, et al.. (2020). Identification of novel variants in the LDLR gene in Russian patients with familial hypercholesterolemia using targeted sequencing. Biomedical Reports. 14(1). 15–15. 14 indexed citations
15.
Usenko, Tatiana, Михаил Николаев, Irina Miliukhina, et al.. (2020). Gene Expression of Lysosomal Membrane Proteins in Parkinson Disease, Associated with Mutations in the Glucocerebrosidase Gene (GBA). SHILAP Revista de lepidopterología. 14(2). 1 indexed citations
16.
Emelyanov, Anton, Tatiana Shtam, Roman Kamyshinsky, et al.. (2020). Cryo-electron microscopy of extracellular vesicles from cerebrospinal fluid. PLoS ONE. 15(1). e0227949–e0227949. 124 indexed citations
17.
Emelyanov, Anton, Tatiana Usenko, Christelle Tesson, et al.. (2018). Mutation analysis of Parkinson's disease genes in a Russian data set. Neurobiology of Aging. 71. 267.e7–267.e10. 38 indexed citations
18.
Fedotova, E. Yu., Tatiana Usenko, Anton Emelyanov, et al.. (2018). Whole-Exome Sequencing in Searching for New Variants Associated With the Development of Parkinson’s Disease. Frontiers in Aging Neuroscience. 10. 136–136. 17 indexed citations
19.
Pchelina, Sofya, et al.. (2006). G2019S LRRK2 mutation in familial and sporadic Parkinson's disease in Russia. Movement Disorders. 21(12). 2234–2236. 18 indexed citations
20.

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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