Э. Б. Дашинимаев

738 total citations
53 papers, 475 citations indexed

About

Э. Б. Дашинимаев is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Э. Б. Дашинимаев has authored 53 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 9 papers in Surgery and 9 papers in Genetics. Recurrent topics in Э. Б. Дашинимаев's work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (12 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Э. Б. Дашинимаев is often cited by papers focused on Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (12 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Э. Б. Дашинимаев collaborates with scholars based in Russia, Australia and United States. Э. Б. Дашинимаев's co-authors include Е. A. Vorotelyak, А. P. Bolshakov, Alexander V. Vasiliev, Piotr Kamenski, С. А. Левицкий, Е. В. Коновалова, Igor A. Krasheninnikov, Е. В. Григорьева, George A. Kosmiadi and Yana Serdyuk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Э. Б. Дашинимаев

47 papers receiving 463 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Э. Б. Дашинимаев Russia 14 312 72 64 63 56 53 475
Zongyong Ai China 11 441 1.4× 66 0.9× 84 1.3× 50 0.8× 47 0.8× 18 547
In Hyun Park United States 4 309 1.0× 60 0.8× 50 0.8× 39 0.6× 49 0.9× 5 358
Meiyan Wang United States 7 436 1.4× 131 1.8× 63 1.0× 95 1.5× 74 1.3× 8 584
Oz Pomp United States 15 441 1.4× 74 1.0× 51 0.8× 106 1.7× 97 1.7× 18 638
Greg Martin United States 7 482 1.5× 59 0.8× 55 0.9× 100 1.6× 53 0.9× 8 593
Yaniv Gil Israel 9 308 1.0× 44 0.6× 59 0.9× 31 0.5× 53 0.9× 11 445
Oliver Hummel Germany 14 664 2.1× 84 1.2× 69 1.1× 97 1.5× 62 1.1× 20 811
Sebastian Knöbel Germany 8 231 0.7× 98 1.4× 72 1.1× 55 0.9× 58 1.0× 14 352
Zhiyan Shan China 14 253 0.8× 39 0.5× 30 0.5× 63 1.0× 36 0.6× 33 377
Cristina Valensisi United States 9 335 1.1× 87 1.2× 39 0.6× 103 1.6× 33 0.6× 10 434

Countries citing papers authored by Э. Б. Дашинимаев

Since Specialization
Citations

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

Fields of papers citing papers by Э. Б. Дашинимаев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Э. Б. Дашинимаев. 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 Э. Б. Дашинимаев. The network helps show where Э. Б. Дашинимаев may publish in the future.

Co-authorship network of co-authors of Э. Б. Дашинимаев

This figure shows the co-authorship network connecting the top 25 collaborators of Э. Б. Дашинимаев. A scholar is included among the top collaborators of Э. Б. Дашинимаев 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 Э. Б. Дашинимаев. Э. Б. Дашинимаев 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.
Дашинимаев, Э. Б., et al.. (2025). Role of the cytoskeleton in cellular reprogramming: effects of biophysical and biochemical factors. Frontiers in Molecular Biosciences. 12. 1538806–1538806. 5 indexed citations
2.
Тимофеев, А. В., et al.. (2024). Human pancreatic islet-derived stromal cells reveal combined features of mesenchymal stromal cells and pancreatic stellate cells. Stem Cell Research & Therapy. 15(1). 351–351. 2 indexed citations
3.
Pavlov, Rais V., Sergey A. Akimov, Э. Б. Дашинимаев, & Pavel V. Bashkirov. (2024). Boosting Lipofection Efficiency Through Enhanced Membrane Fusion Mechanisms. International Journal of Molecular Sciences. 25(24). 13540–13540. 5 indexed citations
4.
Дашинимаев, Э. Б., et al.. (2023). Strategies for HIV-1 suppression through key genes and cell therapy. Frontiers in Medicine. 10. 1259995–1259995. 1 indexed citations
5.
Flyamer, Ilya M., et al.. (2023). Trisomies Reorganize Human 3D Genome. International Journal of Molecular Sciences. 24(22). 16044–16044. 2 indexed citations
6.
Krasnov, George S., Э. Б. Дашинимаев, Tatiana T. Kondratieva, et al.. (2023). Tumor Suppressor Properties of Small C-Terminal Domain Phosphatases in Clear Cell Renal Cell Carcinoma. International Journal of Molecular Sciences. 24(16). 12986–12986. 2 indexed citations
7.
8.
Дашинимаев, Э. Б., et al.. (2022). PDX1 is the cornerstone of pancreatic β-cell functions and identity. Frontiers in Molecular Biosciences. 9. 1091757–1091757. 50 indexed citations
9.
Дашинимаев, Э. Б., et al.. (2022). Detection of CCR5Δ32 Mutant Alleles in Heterogeneous Cell Mixtures Using Droplet Digital PCR. Frontiers in Molecular Biosciences. 9. 805931–805931. 1 indexed citations
10.
Elagin, Vadim, et al.. (2021). Energy Metabolism and Intracellular pH Alteration in Neural Spheroids Carrying Down Syndrome. Biomedicines. 9(11). 1741–1741. 3 indexed citations
11.
Kryukov, A I, et al.. (2021). Characterisation of Neurospheres-Derived Cells from Human Olfactory Epithelium. Cells. 10(7). 1690–1690. 2 indexed citations
12.
Surin, Alexander, et al.. (2021). IPSC-Derived Human Neurons with GCaMP6s Expression Allow In Vitro Study of Neurophysiological Responses to Neurochemicals. Neurochemical Research. 47(4). 952–966. 5 indexed citations
13.
Sant, David, Kiseleva Ev, Oxana Kolomiets, et al.. (2020). In vitro derived female hPGCLCs are unable to complete meiosis in embryoid bodies. Experimental Cell Research. 397(2). 112358–112358. 7 indexed citations
14.
Левицкий, С. А., et al.. (2020). Initiation Factor 3 is Dispensable For Mitochondrial Translation in Cultured Human Cells. Scientific Reports. 10(1). 7110–7110. 15 indexed citations
15.
Дашинимаев, Э. Б., et al.. (2020). Cell Reprogramming With CRISPR/Cas9 Based Transcriptional Regulation Systems. Frontiers in Bioengineering and Biotechnology. 8. 882–882. 33 indexed citations
16.
Дашинимаев, Э. Б., et al.. (2020). Neural Stem Cells and Methods for Their Generation From Induced Pluripotent Stem Cells in vitro. Frontiers in Cell and Developmental Biology. 8. 815–815. 69 indexed citations
17.
Левицкий, С. А., et al.. (2019). Mitochondrial Translation Initiation Factor 3: Structure, Functions, Interactions, and Implication in Human Health and Disease. Biochemistry (Moscow). 84(10). 1143–1150. 1 indexed citations
18.
Дашинимаев, Э. Б., et al.. (2019). Detection of small numbers of iPSCs in different heterogeneous cell mixtures with highly sensitive droplet digital PCR. Molecular Biology Reports. 46(6). 6675–6683. 11 indexed citations
19.
Дашинимаев, Э. Б., Vasily O. Tsvetkov, А. P. Bolshakov, et al.. (2017). New genes for accurate normalization of qRT-PCR results in study of iPS and iPS-derived cells. Gene. 626. 234–240. 12 indexed citations
20.
Дашинимаев, Э. Б., et al.. (2014). Generation of iPS Cells from Human Hair Follice Dermal Papilla Cells.. PubMed. 6(1). 45–53. 13 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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