Olga Grigorieva

1.0k total citations
50 papers, 657 citations indexed

About

Olga Grigorieva is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Olga Grigorieva has authored 50 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Genetics and 11 papers in Surgery. Recurrent topics in Olga Grigorieva's work include Mesenchymal stem cell research (14 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Extracellular vesicles in disease (6 papers). Olga Grigorieva is often cited by papers focused on Mesenchymal stem cell research (14 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Extracellular vesicles in disease (6 papers). Olga Grigorieva collaborates with scholars based in Russia, Tajikistan and United States. Olga Grigorieva's co-authors include Anastasia Efimenko, Nataliya Basalova, Natalia Kalinina, Georgy Sagaradze, Peter Nimiritsky, Zhanna Akopyan, Konstantin Kulebyakin, Veronika Sysoeva, Kseniya Rubina and Olga V. Pobeguts and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Olga Grigorieva

38 papers receiving 642 citations

Peers

Olga Grigorieva
Neeraj Kumar Satija India
Carolina Caliári-Oliveira Brazil
Giuseppe Malpasso Italy
Eduardo Mansilla Argentina
Maria Chiara Ciuffreda Italy
Ayla Eker Sarıboyacı Türkiye
Mihai Bogdan Preda Romania
Aleksandra Jauković Serbia
Emanuela Vitale Italy
Neeraj Kumar Satija India
Olga Grigorieva
Citations per year, relative to Olga Grigorieva Olga Grigorieva (= 1×) peers Neeraj Kumar Satija

Countries citing papers authored by Olga Grigorieva

Since Specialization
Citations

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

Fields of papers citing papers by Olga Grigorieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Grigorieva

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Grigorieva. A scholar is included among the top collaborators of Olga Grigorieva 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 Olga Grigorieva. Olga Grigorieva 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.
Grigorieva, Olga, et al.. (2025). T-Cadherin Finetunes Proliferation–Differentiation During Adipogenesis via PI3K–AKT Signaling Pathway. International Journal of Molecular Sciences. 26(19). 9646–9646.
2.
Grigorieva, Olga, et al.. (2024). Modeling the profibrotic microenvironment in vitro: Model validation. Biochemical and Biophysical Research Communications. 733. 150574–150574.
3.
Efimenko, Anastasia, Anna Shmakova, Vladimir Popov, et al.. (2024). Mesenchymal stem/stromal cells alleviate early‐stage pulmonary fibrosis in a uPAR‐dependent manner. Cell Biology International. 48(11). 1714–1730. 1 indexed citations
4.
Орлова, М. А., В. Г. Згода, Pavel A. Makhnovskii, et al.. (2024). Age‐related changes in human skeletal muscle transcriptome and proteome are more affected by chronic inflammation and physical inactivity than primary aging. Aging Cell. 23(4). e14098–e14098. 12 indexed citations
5.
Vyssokikh, M. Yu., et al.. (2024). Age-Dependent Changes in the Production of Mitochondrial Reactive Oxygen Species in Human Skeletal Muscle. Biochemistry (Moscow). 89(2). 299–312.
6.
7.
Orlova, Yа. A., Olga Grigorieva, Nataliya Basalova, et al.. (2023). Correlations between biomarkers of senescent cell accumulation at the systemic, tissue and cellular levels in elderly patients. Experimental Gerontology. 177. 112176–112176. 12 indexed citations
8.
Grigorieva, Olga, Nataliya Basalova, Konstantin Kulebyakin, et al.. (2023). Novel Potential Markers of Myofibroblast Differentiation Revealed by Single-Cell RNA Sequencing Analysis of Mesenchymal Stromal Cells in Profibrotic and Adipogenic Conditions. Biomedicines. 11(3). 840–840. 8 indexed citations
9.
Kulebyakin, Konstantin, Maxim Karagyaur, Olga Grigorieva, et al.. (2023). Peripheral 5-HT/HTR6 axis is responsible for obesity-associated hypertension. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(2). 119651–119651. 2 indexed citations
10.
11.
Basalova, Nataliya, et al.. (2023). M2-Macrophage-Induced Chronic Inflammation Promotes Reversible Mesenchymal Stromal Cell Senescence and Reduces Their Anti-Fibrotic Properties. International Journal of Molecular Sciences. 24(23). 17089–17089. 9 indexed citations
12.
Kulebyakin, Konstantin, Veronika Sysoeva, Nataliya Basalova, et al.. (2023). Alpha1A- and Beta3-Adrenoceptors Interplay in Adipose Multipotent Mesenchymal Stromal Cells: A Novel Mechanism of Obesity-Driven Hypertension. Cells. 12(4). 585–585. 4 indexed citations
13.
Efimenko, Anastasia, Olga Grigorieva, Nataliya Basalova, et al.. (2022). Correlations between vessel stiffness and biomarkers of senescent cell in elderly patients. Kardiologiia. 62(6). 15–22.
14.
Orlova, Yа. A., Olga Grigorieva, Nataliya Basalova, et al.. (2022). Creation of a collection of different biological sample types from elderly patients to study the relationship of clinical, systemic, tissue and cellular biomarkers of accumulation of senescent cells during aging. CARDIOVASCULAR THERAPY AND PREVENTION. 20(8). 3051–3051. 2 indexed citations
15.
Grigorieva, Olga, et al.. (2021). COMBINED NEWTON’S THIRD-ORDER CONVERGENCE METHOD FOR MINIMIZE ONE VARIABLE FUNCTIONS. Radio Electronics Computer Science Control. 48–55.
16.
Grigorieva, Olga, et al.. (2021). MRI diagnostics of functional dyspepsia. SHILAP Revista de lepidopterología. 2(1S). 12–13. 1 indexed citations
17.
Grigorieva, Olga, et al.. (2021). Mechanisms of Endothelial-to-Mesenchymal Transition Induction by Extracellular Matrix Components in Pulmonary Fibrosis. Bulletin of Experimental Biology and Medicine. 171(4). 523–531. 8 indexed citations
18.
Sagaradze, Georgy, Nataliya Basalova, V.I. Kirpatovsky, et al.. (2019). A magic kick for regeneration: role of mesenchymal stromal cell secretome in spermatogonial stem cell niche recovery. Stem Cell Research & Therapy. 10(1). 342–342. 24 indexed citations
19.
Данилова, Н. В., Olga Grigorieva, П.Г. Мальков, et al.. (2019). Cell Sheets of Mesenchymal Stromal Cells Effectively Stimulate Healing of Deep Soft Tissue Defects. Bulletin of Experimental Biology and Medicine. 167(1). 159–163. 6 indexed citations
20.
Sagaradze, Georgy, Nataliya Basalova, V.I. Kirpatovsky, et al.. (2018). Application of rat cryptorchidism model for the evaluation of mesenchymal stromal cell secretome regenerative potential. Biomedicine & Pharmacotherapy. 109. 1428–1436. 20 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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