Sergei V. Fedorovich

746 total citations
36 papers, 616 citations indexed

About

Sergei V. Fedorovich is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Sergei V. Fedorovich has authored 36 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 26 papers in Cellular and Molecular Neuroscience and 7 papers in Cell Biology. Recurrent topics in Sergei V. Fedorovich's work include Neuroscience and Neuropharmacology Research (25 papers), Mitochondrial Function and Pathology (12 papers) and Lipid Membrane Structure and Behavior (9 papers). Sergei V. Fedorovich is often cited by papers focused on Neuroscience and Neuropharmacology Research (25 papers), Mitochondrial Function and Pathology (12 papers) and Lipid Membrane Structure and Behavior (9 papers). Sergei V. Fedorovich collaborates with scholars based in Belarus, United Kingdom and France. Sergei V. Fedorovich's co-authors include Tatyana V. Waseem, Bazbek Davletov, Kuang Hu, Colin Rickman, Joe Carroll, S. V. Konev, Tenpei Akita, Yasunobu Okada, L. V. Puchkova and Liudmila Lapatsina and has published in prestigious journals such as Nature, Brain Research and Annals of the New York Academy of Sciences.

In The Last Decade

Sergei V. Fedorovich

35 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergei V. Fedorovich Belarus 16 408 247 165 134 45 36 616
Tatyana V. Waseem Belarus 16 330 0.8× 275 1.1× 36 0.2× 137 1.0× 60 1.3× 31 591
María Teresa Alonso Spain 13 718 1.8× 381 1.5× 174 1.1× 102 0.8× 15 0.3× 22 912
Rosa María Di Giorgio Italy 16 284 0.7× 169 0.7× 153 0.9× 158 1.2× 28 0.6× 43 641
Carlos B. Rueda Spain 15 552 1.4× 363 1.5× 67 0.4× 182 1.4× 80 1.8× 20 875
Leon P. Collis United States 11 585 1.4× 180 0.7× 60 0.4× 66 0.5× 35 0.8× 15 754
Jens Schindler Germany 10 556 1.4× 358 1.4× 110 0.7× 75 0.6× 19 0.4× 12 764
Emmanouela Kallergi Greece 10 220 0.5× 129 0.5× 117 0.7× 73 0.5× 70 1.6× 11 583
Naoki Ito Japan 10 280 0.7× 251 1.0× 70 0.4× 102 0.8× 106 2.4× 25 731
A Ambrosini Italy 14 652 1.6× 526 2.1× 60 0.4× 102 0.8× 42 0.9× 24 884
Petronela Weisová Ireland 13 490 1.2× 182 0.7× 49 0.3× 165 1.2× 92 2.0× 17 755

Countries citing papers authored by Sergei V. Fedorovich

Since Specialization
Citations

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

Fields of papers citing papers by Sergei V. Fedorovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergei V. Fedorovich. 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 Sergei V. Fedorovich. The network helps show where Sergei V. Fedorovich may publish in the future.

Co-authorship network of co-authors of Sergei V. Fedorovich

This figure shows the co-authorship network connecting the top 25 collaborators of Sergei V. Fedorovich. A scholar is included among the top collaborators of Sergei V. Fedorovich 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 Sergei V. Fedorovich. Sergei V. Fedorovich 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.
Waseem, Tatyana V., et al.. (2021). Metabolomics and metabolites in ischemic stroke. Reviews in the Neurosciences. 33(2). 181–205. 23 indexed citations
2.
Luo, Limin, Min Huang, Yu Zhang, et al.. (2020). Disabling phosphorylation at the homer ligand of the metabotropic glutamate receptor 5 alleviates complete Freund's adjuvant-induced inflammatory pain. Neuropharmacology. 170. 108046–108046. 5 indexed citations
3.
Waseem, Tatyana V., et al.. (2019). High Concentration of Ketone Body β-Hydroxybutyrate Modifies Synaptic Vesicle Cycle and Depolarizes Plasma Membrane of Rat Brain Synaptosomes. Journal of Molecular Neuroscience. 70(1). 112–119. 6 indexed citations
4.
Waseem, Tatyana V., et al.. (2018). Calcium release from intracellular stores is involved in mitochondria depolarization after lowering extracellular pH in rat brain synaptosomes. Acta Neurobiologiae Experimentalis. 78(4). 343–351. 3 indexed citations
5.
Waseem, Tatyana V., et al.. (2017). Estimation of the mitochondrial calcium pool in rat brain synaptosomes using Rhod-2 AM fluorescent dye. BIOPHYSICS. 62(1). 75–78. 3 indexed citations
6.
Fedorovich, Sergei V., Tatyana V. Waseem, & L. V. Puchkova. (2017). Biogenetic and morphofunctional heterogeneity of mitochondria: the case of synaptic mitochondria. Reviews in the Neurosciences. 28(4). 363–373. 35 indexed citations
7.
Waseem, Tatyana V., et al.. (2016). Ketogenic Diet as A Treatment Option for Different CNSDiseases. 2(4). 285–290. 2 indexed citations
8.
Waseem, Tatyana V., et al.. (2014). Role of iron, zinc and reduced glutathione in oxidative stress induction by low pH in rat brain synaptosomes. SpringerPlus. 3(1). 560–560. 10 indexed citations
9.
Fedorovich, Sergei V.. (2013). Piracetam induces plasma membrane depolarization in rat brain synaptosomes. Neuroscience Letters. 553. 206–210. 2 indexed citations
10.
Akita, Tenpei, Sergei V. Fedorovich, & Yasunobu Okada. (2011). Ca<sup>2+</sup> Nanodomain-Mediated Component of Swelling-Induced Volume-Sensitive Outwardly Rectifying Anion Current Triggered by Autocrine Action of ATP in Mouse Astrocytes. Cellular Physiology and Biochemistry. 28(6). 1181–1190. 46 indexed citations
11.
Waseem, Tatyana V. & Sergei V. Fedorovich. (2010). Presynaptic Glycine Receptors Influence Plasma Membrane Potential and Glutamate Release. Neurochemical Research. 35(8). 1188–1195. 22 indexed citations
12.
Waseem, Tatyana V., et al.. (2009). Glutamate induces formation of free radicals in rat brain synaptosomes. BIOPHYSICS. 54(5). 617–620. 11 indexed citations
13.
14.
Waseem, Tatyana V., et al.. (2007). Hypertonic shrinking but not hypotonic swelling increases sodium concentration in rat brain synaptosomes. Brain Research Bulletin. 73(1-3). 135–142. 16 indexed citations
15.
Waseem, Tatyana V., et al.. (2006). Influence of cholesterol depletion in plasma membrane of rat brain synaptosomes on calcium-dependent and calcium-independent exocytosis. Neuroscience Letters. 405(1-2). 106–110. 14 indexed citations
16.
Fedorovich, Sergei V., et al.. (2005). Role of Calcium in Exocytosis Induced by Hypotonic Swelling. Annals of the New York Academy of Sciences. 1048(1). 337–340. 4 indexed citations
17.
Waseem, Tatyana V., S. V. Konev, & Sergei V. Fedorovich. (2004). Influence of Hypotonic Shock on Glutamate and GABA Uptake in Rat Brain Synaptosomes. Neurochemical Research. 29(9). 1653–1658. 15 indexed citations
18.
Waseem, Tatyana V., et al.. (2004). Calcium regulates the mode of exocytosis induced by hypotonic shock in isolated neuronal presynaptic endings. Neurochemistry International. 46(3). 235–242. 24 indexed citations
19.
Hu, Kuang, et al.. (2002). Vesicular restriction of synaptobrevin suggests a role for calcium in membrane fusion. Nature. 415(6872). 646–650. 149 indexed citations
20.
Fedorovich, Sergei V., et al.. (1999). Membrane Biophysics and Biochemistry. Neuroreport. 10(8). 1763–1765. 4 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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