Yulia Dembitskaya

686 total citations
20 papers, 451 citations indexed

About

Yulia Dembitskaya is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Yulia Dembitskaya has authored 20 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Yulia Dembitskaya's work include Neuroscience and Neuropharmacology Research (11 papers), Neural dynamics and brain function (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Yulia Dembitskaya is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Neural dynamics and brain function (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Yulia Dembitskaya collaborates with scholars based in Russia, France and Japan. Yulia Dembitskaya's co-authors include Alexey Semyanov, Laurent Venance, Pei‐Yu Shih, Yu‐Wei Wu, Alexander Fleischmann, Xiaofang Tang, Sylvie Pérez, Hugues Berry, Thomas J. McHugh and Leonid P. Savtchenko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Yulia Dembitskaya

20 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulia Dembitskaya Russia 13 286 143 117 116 46 20 451
Chong Guo United States 10 206 0.7× 193 1.3× 166 1.4× 148 1.3× 53 1.2× 14 575
Jonathan Zapata France 9 272 1.0× 228 1.6× 119 1.0× 83 0.7× 57 1.2× 12 540
Anastassios Karagiannis United Kingdom 8 256 0.9× 175 1.2× 91 0.8× 160 1.4× 62 1.3× 9 508
Timotheus Budisantoso Japan 7 350 1.2× 243 1.7× 57 0.5× 119 1.0× 64 1.4× 7 464
Sharmila Venugopal United States 9 351 1.2× 162 1.1× 248 2.1× 137 1.2× 73 1.6× 18 594
Kristina Schulz Germany 11 294 1.0× 139 1.0× 100 0.9× 238 2.1× 26 0.6× 19 602
Lei Xue China 12 296 1.0× 207 1.4× 33 0.3× 147 1.3× 44 1.0× 21 602
О. Л. Власова Russia 11 250 0.9× 193 1.3× 59 0.5× 42 0.4× 64 1.4× 57 444
Moritz Armbruster United States 11 476 1.7× 380 2.7× 86 0.7× 123 1.1× 77 1.7× 16 722
Phillip Bohn United States 3 210 0.7× 138 1.0× 56 0.5× 161 1.4× 66 1.4× 3 410

Countries citing papers authored by Yulia Dembitskaya

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Dembitskaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulia Dembitskaya

This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Dembitskaya. A scholar is included among the top collaborators of Yulia Dembitskaya 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 Yulia Dembitskaya. Yulia Dembitskaya 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.
Dembitskaya, Yulia & А. В. Попов. (2025). Astrocytes in maintaining neuronal health and brain function: interplay of aging, diet, and environment. Metabolic Brain Disease. 40(8). 291–291. 1 indexed citations
2.
Gordleeva, Susanna, Yulia Dembitskaya, Victor Kazantsev, & Eugene B. Postnikov. (2023). Estimation of cumulative amplitude distributions of miniature postsynaptic currents allows characterising their multimodality, quantal size and variability. Scientific Reports. 13(1). 15660–15660. 2 indexed citations
3.
Dembitskaya, Yulia, Andrew K. J. Boyce, Misa Arizono, et al.. (2023). Shadow imaging for panoptical visualization of brain tissue in vivo. Nature Communications. 14(1). 6411–6411. 6 indexed citations
4.
Fuhrmann, Martin, Misa Arizono, Yulia Dembitskaya, et al.. (2022). Super-Resolution Microscopy Opens New Doors to Life at the Nanoscale. Journal of Neuroscience. 42(45). 8488–8497. 22 indexed citations
5.
Dembitskaya, Yulia, et al.. (2022). Lactate supply overtakes glucose when neural computational and cognitive loads scale up. Proceedings of the National Academy of Sciences. 119(47). e2212004119–e2212004119. 37 indexed citations
6.
Shih, Pei‐Yu, Yulia Dembitskaya, Leonid P. Savtchenko, et al.. (2022). K + efflux through postsynaptic NMDA receptors suppresses local astrocytic glutamate uptake. Glia. 70(5). 961–974. 18 indexed citations
7.
Dembitskaya, Yulia, et al.. (2022). Lactate Supply Overtakes Glucose When Neural Computational and Cognitive Loads Scale Up. SSRN Electronic Journal. 1 indexed citations
8.
9.
Dembitskaya, Yulia, Yu‐Wei Wu, & Alexey Semyanov. (2020). Tonic GABAAConductance Favors Spike-Timing-Dependent over Theta-Burst-Induced Long-Term Potentiation in the Hippocampus. Journal of Neuroscience. 40(22). 4266–4276. 13 indexed citations
10.
Gangarossa, Giuseppe, et al.. (2019). BDNF Controls Bidirectional Endocannabinoid Plasticity at Corticostriatal Synapses. Cerebral Cortex. 30(1). 197–214. 19 indexed citations
11.
Dembitskaya, Yulia, et al.. (2019). Encoding of Odor Fear Memories in the Mouse Olfactory Cortex. Current Biology. 29(3). 367–380.e4. 54 indexed citations
12.
Kacher, Radhia, Antonin Lamazière, Nicolas Heck, et al.. (2019). CYP46A1 gene therapy deciphers the role of brain cholesterol metabolism in Huntington’s disease. Brain. 142(8). 2432–2450. 78 indexed citations
13.
Wu, Yu‐Wei, et al.. (2018). Morphological profile determines the frequency of spontaneous calcium events in astrocytic processes. Glia. 67(2). 246–262. 46 indexed citations
14.
Valtcheva, Silvana, Vincent Paillé, Yulia Dembitskaya, et al.. (2017). Developmental control of spike-timing-dependent plasticity by tonic GABAergic signaling in striatum. Neuropharmacology. 121. 261–277. 13 indexed citations
15.
Dembitskaya, Yulia, et al.. (2016). The Role of the Brain Extracellular Matrix in Synaptic Plasticity After Brain Injuries (Review). Sovremennye tehnologii v medicine. 8(4). 260–268. 1 indexed citations
16.
Dembitskaya, Yulia, et al.. (2015). The Role of Energy Substrates in Astrocyte Calcium Activity of Rat Hippocampus in Early Postnatal Ontogenesis. Sovremennye tehnologii v medicine. 7(3). 14–19. 4 indexed citations
17.
Dembitskaya, Yulia, et al.. (2015). Perspectives in Intraoperative Diagnostics of Human Gliomas. Computational and Mathematical Methods in Medicine. 2015. 1–9. 5 indexed citations
18.
Wu, Yu‐Wei, Xiaofang Tang, Misa Arizono, et al.. (2014). Spatiotemporal calcium dynamics in single astrocytes and its modulation by neuronal activity. Cell Calcium. 55(2). 119–129. 47 indexed citations
19.
Wu, Yu‐Wei, et al.. (2014). Denoising of two-photon fluorescence images with Block-Matching 3D filtering. Methods. 68(2). 308–316. 17 indexed citations
20.
Shih, Pei‐Yu, Leonid P. Savtchenko, Naomi Kamasawa, et al.. (2013). Retrograde Synaptic Signaling Mediated by K+ Efflux through Postsynaptic NMDA Receptors. Cell Reports. 5(4). 941–951. 55 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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