Михаил Николаев

558 total citations
37 papers, 368 citations indexed

About

Михаил Николаев is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Михаил Николаев has authored 37 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 16 papers in Neurology and 9 papers in Molecular Biology. Recurrent topics in Михаил Николаев's work include Parkinson's Disease Mechanisms and Treatments (16 papers), Lysosomal Storage Disorders Research (16 papers) and Cellular transport and secretion (7 papers). Михаил Николаев is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (16 papers), Lysosomal Storage Disorders Research (16 papers) and Cellular transport and secretion (7 papers). Михаил Николаев collaborates with scholars based in Russia, Austria and Egypt. Михаил Николаев's co-authors include С. Н. Пчелина, Irina Miliukhina, Konstantin Senkevich, Anton Emelyanov, Ekaterina Zakharova, Galina Baydakova, Galina Salogub, Sofya Pchelina, Tatiana Usenko and С. Н. Иллариошкин and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Михаил Николаев

31 papers receiving 363 citations

Peers

Михаил Николаев
Emerson Maniwang United States
Gali Maor Israel
Petra Oliva United States
Laura Smith United Kingdom
Angela Richard‐Londt United Kingdom
Lauren Morris United Kingdom
Mariam Zaka United States
Jared W. Benedict United States
Emerson Maniwang United States
Михаил Николаев
Citations per year, relative to Михаил Николаев Михаил Николаев (= 1×) peers Emerson Maniwang

Countries citing papers authored by Михаил Николаев

Since Specialization
Citations

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

Fields of papers citing papers by Михаил Николаев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Михаил Николаев

This figure shows the co-authorship network connecting the top 25 collaborators of Михаил Николаев. A scholar is included among the top collaborators of Михаил Николаев 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 Михаил Николаев. Михаил Николаев 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, Е. В. Григорьева, Galina Baydakova, et al.. (2025). Restoration of Lysosomal Hydrolase Activities by LRRK2 Inhibition in GBA1 ‐ and LRRK2 ‐Associated Parkinson's Disease Patient‐Derived Cells. Journal of Neurochemistry. 169(9). e70214–e70214.
2.
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
3.
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
4.
Григорьева, Е. В., Anastasia A. Malakhova, Irina Miliukhina, et al.. (2023). Generation of an Induced Pluripotent Stem Cell Line, ICGi043-A, by Reprogramming Peripheral Blood Mononuclear Cells from a Parkinson’s Disease Patient with p.G2019S Mutation in the LRRK2 Gene. Russian Journal of Developmental Biology. 54(1). 72–79. 1 indexed citations
5.
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
6.
Николаев, Михаил, et al.. (2022). Correlation of laboratory markers of hemostatic system activation with concentration and size of plasma extracellular microparticles in patients with COVID-19. SHILAP Revista de lepidopterología. 29(1). 28–36. 2 indexed citations
7.
Николаев, Михаил, Galina Baydakova, Konstantin Senkevich, et al.. (2021). Ambroxol increases glucocerebrosidase (GCase) activity and restores GCase translocation in primary patient-derived macrophages in Gaucher disease and Parkinsonism. Parkinsonism & Related Disorders. 84. 112–121. 43 indexed citations
8.
Николаев, Михаил. (2021). USING THE POTENTIAL OF INFORMATION TECHNOLOGIES IN A PERSONALITY'S CIVIC EDUCATION. SHILAP Revista de lepidopterología. 13(2). 78–85.
9.
Николаев, Михаил, et al.. (2021). P.0747 The CD45+ blood cells alpha-synuclein concentration in synucleinopathies. European Neuropsychopharmacology. 53. S543–S544. 1 indexed citations
10.
Miliukhina, Irina, et al.. (2020). Plasma Cytokines Profile in Patients with Parkinson’s Disease Associated with Mutations in GBA Gene. Bulletin of Experimental Biology and Medicine. 168(4). 423–426. 31 indexed citations
11.
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
12.
Usenko, Tatiana, Михаил Николаев, Irina Miliukhina, et al.. (2020). Plasma cytokine profile in synucleinophaties with dementia. Journal of Clinical Neuroscience. 78. 323–326. 22 indexed citations
13.
Николаев, Михаил, et al.. (2019). Возможная роль генов, связанных с лизосомными болезнями накопления, в патогенезе болезни Паркинсона. Молекулярная биология. 53(1). 28–36. 4 indexed citations
14.
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
15.
Emelyanov, Alexander, Luiza Garaeva, Konstantin Senkevich, et al.. (2018). SNCA variants and alpha-synuclein level in CD45+ blood cells in Parkinson’s disease. Journal of the Neurological Sciences. 395. 135–140. 16 indexed citations
16.
Senkevich, Konstantin, et al.. (2017). The clinical features of Parkinson’s disease in patients with mutations and polymorphic variants of GBA gene. S S Korsakov Journal of Neurology and Psychiatry. 117(10). 81–81. 8 indexed citations
17.
Пчелина, С. Н., Alexander Emelyanov, Galina Baydakova, et al.. (2016). Oligomeric α-synuclein and glucocerebrosidase activity levels in GBA-associated Parkinson’s disease. Neuroscience Letters. 636. 70–76. 62 indexed citations
18.
Николаев, Михаил, et al.. (2016). Inter-regional clusters as a tool for economic development of territories. 235(1). 47–57. 1 indexed citations
19.
Emelyanov, Anton, et al.. (2015). Parkinson's disease (PD) is the most common neurodegenerative disease. SHILAP Revista de lepidopterología. 22(2). 14–17. 1 indexed citations
20.
Пчелина, С. Н., et al.. (2014). Increased plasma oligomeric alpha-synuclein in patients with lysosomal storage diseases. Neuroscience Letters. 583. 188–193. 36 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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