Е. В. Григорьева

491 total citations
46 papers, 309 citations indexed

About

Е. В. Григорьева is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Е. В. Григорьева has authored 46 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Genetics. Recurrent topics in Е. В. Григорьева's work include Pluripotent Stem Cells Research (24 papers), CRISPR and Genetic Engineering (18 papers) and Biomedical Ethics and Regulation (5 papers). Е. В. Григорьева is often cited by papers focused on Pluripotent Stem Cells Research (24 papers), CRISPR and Genetic Engineering (18 papers) and Biomedical Ethics and Regulation (5 papers). Е. В. Григорьева collaborates with scholars based in Russia, United Kingdom and United States. Е. В. Григорьева's co-authors include Suren M. Zakian, Anastasia A. Malakhova, S. P. Medvedev, Alexander I. Shevchenko, Елена Киселева, M. A. Aleksandrova, Evgeny Pokushalov, Egor Y. Plotnikov, Г. Т. Сухих and Э. Б. Дашинимаев and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Neurochemistry.

In The Last Decade

Е. В. Григорьева

38 papers receiving 307 citations

Peers

Е. В. Григорьева
Е. В. Григорьева
Citations per year, relative to Е. В. Григорьева Е. В. Григорьева (= 1×) peers Kumaran Chandrasekharan

Countries citing papers authored by Е. В. Григорьева

Since Specialization
Citations

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

Fields of papers citing papers by Е. В. Григорьева

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е. В. Григорьева. 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 Е. В. Григорьева. The network helps show where Е. В. Григорьева may publish in the future.

Co-authorship network of co-authors of Е. В. Григорьева

This figure shows the co-authorship network connecting the top 25 collaborators of Е. В. Григорьева. A scholar is included among the top collaborators of Е. В. Григорьева 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 Е. В. Григорьева. Е. В. Григорьева 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.
Medvedev, S. P., et al.. (2025). Transgenic iPSC Lines with Genetically Encoded MitoTimer to Study Mitochondrial Biogenesis in Dopaminergic Neurons with Tauopathy. Biomedicines. 13(3). 550–550. 1 indexed citations
3.
Григорьева, Е. В., Anastasia A. Malakhova, S. P. Medvedev, et al.. (2024). Generation of iPSCs from a Patient with the M694V Mutation in the MEFV Gene Associated with Familial Mediterranean Fever and Their Differentiation into Macrophages. International Journal of Molecular Sciences. 25(11). 6102–6102. 1 indexed citations
5.
Григорьева, Е. В., et al.. (2023). IPSC-Derived Astrocytes Contribute to In Vitro Modeling of Parkinson’s Disease Caused by the GBA1 N370S Mutation. International Journal of Molecular Sciences. 25(1). 327–327. 4 indexed citations
6.
Григорьева, Е. В., Anastasia A. Malakhova, Galina Baydakova, et al.. (2023). Biochemical Characteristics of iPSC-Derived Dopaminergic Neurons from N370S GBA Variant Carriers with and without Parkinson’s Disease. International Journal of Molecular Sciences. 24(5). 4437–4437. 13 indexed citations
7.
Григорьева, Е. В., et al.. (2023). Generation of three induced pluripotent stem cell lines (RAUi001-A, RAUi001-B and RAUi001-C) from peripheral blood mononuclear cells of a healthy Armenian individual. Stem Cell Research. 71. 103147–103147. 1 indexed citations
8.
Melnikova, V. I., et al.. (2023). A Model of iPSC-Derived Macrophages with TNFAIP3 Overexpression Reveals the Peculiarities of TNFAIP3 Protein Expression and Function in Human Macrophages. International Journal of Molecular Sciences. 24(16). 12868–12868. 2 indexed citations
9.
Malakhova, Anastasia A., et al.. (2023). An Induced Pluripotent Stem Cell Line (ICGi023-A) Obtained from a Patient with Parkinson’s Disease Associated Polymorphisms in LRRK2 and PINK1 Genes. Russian Journal of Developmental Biology. 54(1). 88–95.
10.
Григорьева, Е. В., et al.. (2022). Generation of induced pluripotent stem cell line, ICGi033-A, by reprogramming peripheral blood mononuclear cells from a patient with Huntington's disease. Stem Cell Research. 63. 102868–102868. 1 indexed citations
11.
Григорьева, Е. В., Elena A. Kizilova, Елена Киселева, et al.. (2020). Generation of GABAergic striatal neurons by a novel iPSC differentiation protocol enabling scalability and cryopreservation of progenitor cells. Cytotechnology. 72(5). 649–663. 24 indexed citations
12.
Malakhova, Anastasia A., et al.. (2020). Generation of induced pluripotent stem cell line ICGi018-A from peripheral blood mononuclear cells of a patient with Huntington's disease. Stem Cell Research. 44. 101743–101743. 2 indexed citations
13.
Григорьева, Е. В., et al.. (2019). Generation of induced pluripotent stem cell line, ICGi007-A, by reprogramming peripheral blood mononuclear cells from a patient with Huntington's disease. Stem Cell Research. 34. 101382–101382. 8 indexed citations
14.
Григорьева, Е. В., et al.. (2019). Generation of two iPSC lines, (ICGi015-A and ICGi015-B), by reprogramming peripheral blood mononuclear cells from a patient with Parkinson's disease. Stem Cell Research. 41. 101652–101652. 2 indexed citations
15.
Григорьева, Е. В., et al.. (2018). Introducing an expanded CAG tract into the huntingtin gene causes a wide spectrum of ultrastructural defects in cultured human cells. PLoS ONE. 13(10). e0204735–e0204735. 14 indexed citations
16.
Sergeevichev, David, et al.. (2016). Comparative analysis of bone marrow derived mesenchymal stromal cells, cardiac regional stem cells and human skin fibroblasts. Patologiya krovoobrashcheniya i kardiokhirurgiya. 19(4-2). 12–12. 1 indexed citations
17.
Григорьева, Е. В., K. R. Valetdinova, Alexander I. Shevchenko, et al.. (2016). Neural differentiation of patient-specific induced pluripotent stem cells from patients with a hereditary form of spinal muscular atrophy. Genes and Cells. 11(2). 70–81. 4 indexed citations
18.
Григорьева, Е. В., et al.. (2016). Tissue-specificity of proteoglycans expression in different cancers. Advances in molecular oncology. 3(1). 53–60. 2 indexed citations
19.
Medvedev, S. P., Alexander I. Shevchenko, Anastasia A. Malakhova, et al.. (2013). Characteristics of Induced Human Pluripotent Stem Cells Using DNA Microarray Technology. Bulletin of Experimental Biology and Medicine. 155(1). 122–128. 2 indexed citations
20.
Григорьева, Е. В., Alexander I. Shevchenko, N. A. Mazurok, et al.. (2009). FGF4 Independent Derivation of Trophoblast Stem Cells from the Common Vole. PLoS ONE. 4(9). e7161–e7161. 25 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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