A. V. Revishchin

848 total citations
90 papers, 618 citations indexed

About

A. V. Revishchin is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, A. V. Revishchin has authored 90 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 26 papers in Developmental Neuroscience and 25 papers in Cellular and Molecular Neuroscience. Recurrent topics in A. V. Revishchin's work include Neurogenesis and neuroplasticity mechanisms (25 papers), Pluripotent Stem Cells Research (11 papers) and RNA Interference and Gene Delivery (10 papers). A. V. Revishchin is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (25 papers), Pluripotent Stem Cells Research (11 papers) and RNA Interference and Gene Delivery (10 papers). A. V. Revishchin collaborates with scholars based in Russia, United Kingdom and United States. A. V. Revishchin's co-authors include Galina Pavlova, L. I. Korochkin, L.J. Garey, M. A. Aleksandrova, Г. Т. Сухих, Р. А. Полтавцева, Ekaterina Yu. Rybalkina, И. И. Полетаева, Harry W.M. Steinbusch and Dmitry Malin and has published in prestigious journals such as PLoS ONE, Brain Research and Molecules.

In The Last Decade

A. V. Revishchin

79 papers receiving 602 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. V. Revishchin Russia 14 251 194 164 106 77 90 618
Jodi Becker United States 13 434 1.7× 305 1.6× 122 0.7× 26 0.2× 46 0.6× 18 812
Fatemeh Chehrehasa Australia 13 204 0.8× 273 1.4× 184 1.1× 28 0.3× 47 0.6× 32 732
Shashi Wadhwa India 22 431 1.7× 371 1.9× 85 0.5× 30 0.3× 197 2.6× 65 1.2k
T. Tuñón Spain 21 323 1.3× 458 2.4× 80 0.5× 90 0.8× 210 2.7× 50 1.1k
Diego García‐González Spain 16 247 1.0× 135 0.7× 117 0.7× 24 0.2× 36 0.5× 19 551
Dong Won Kim United States 22 577 2.3× 215 1.1× 113 0.7× 79 0.7× 178 2.3× 72 1.5k
Navneet A. Vasistha United Kingdom 11 411 1.6× 203 1.0× 293 1.8× 43 0.4× 72 0.9× 19 723
Ken A. Morris United States 12 330 1.3× 139 0.7× 43 0.3× 16 0.2× 175 2.3× 15 711
Sara Zocher Germany 12 531 2.1× 138 0.7× 296 1.8× 27 0.3× 54 0.7× 18 977
René Jüttner Germany 23 771 3.1× 697 3.6× 111 0.7× 30 0.3× 144 1.9× 44 1.4k

Countries citing papers authored by A. V. Revishchin

Since Specialization
Citations

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

Fields of papers citing papers by A. V. Revishchin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. V. Revishchin

This figure shows the co-authorship network connecting the top 25 collaborators of A. V. Revishchin. A scholar is included among the top collaborators of A. V. Revishchin 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 A. V. Revishchin. A. V. Revishchin 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.
Pronin, Igor, et al.. (2024). A Novel Rat Glioblastoma 101/8 Model: A Comparative PET-CT Study with C6 Rat model. Burdenko s Journal of Neurosurgery. 88(6). 54–54.
2.
Бочарова, О. А., В. Е. Шевченко, V. G. Kucheryanu, et al.. (2022). Computer‐aided Evaluation of Polyvalent Medications’ Pharmacological Potential. Multiphytoadaptogen as a Case Study. Molecular Informatics. 42(1). e2200176–e2200176. 3 indexed citations
3.
Revishchin, A. V., et al.. (2022). The role of glial cell line-derived neurotrophic factor isoforms in human glial tumors. Burdenko s Journal of Neurosurgery. 86(6). 106–106. 1 indexed citations
4.
Savchenko, Ekaterina, et al.. (2021). Neuroinductive properties of mGDNF depend on the producer, E. Coli or human cells. PLoS ONE. 16(10). e0258289–e0258289. 3 indexed citations
5.
Revishchin, A. V., et al.. (2021). The effect of biodegradable silk fibroin-based scaffolds containing glial cell line-derived neurotrophic factor (GDNF) on the corneal regeneration process. International Journal of Biological Macromolecules. 185. 264–276. 19 indexed citations
6.
Revishchin, A. V., et al.. (2018). Audiogenic Epilepsy and Structural Features of Superior Colliculus in KM Rats. Doklady Biochemistry and Biophysics. 478(1). 47–49. 5 indexed citations
7.
Revishchin, A. V., et al.. (2016). Audiogenic epilepsy and GABAergic system of the colliculus inferior in Krushinsky-Molodkina rats. Doklady Biochemistry and Biophysics. 466(1). 32–34. 13 indexed citations
8.
Manolov, Alexander I., et al.. (2014). [Moving activity and wakefulness-sleep cycle changes in a mouse MPTP model of Parkinson's disease].. PubMed. 100(11). 1252–60. 4 indexed citations
9.
Revishchin, A. V., et al.. (2008). Neural Stem Cells in the Mammalian Brain. International review of cytology. 265. 55–109. 7 indexed citations
10.
Aleksandrova, M. A., et al.. (2004). Transplantation of Cultured Neural Cells from Human Fetuses into the Brain of Rats Exposed to Acute Hypoxia. Bulletin of Experimental Biology and Medicine. 137(3). 262–265. 6 indexed citations
11.
Aleksandrova, M. A., A. V. Revishchin, Р. А. Полтавцева, et al.. (2004). Human Neural Stem Cells Normalize Rat Behavior after Hypoxia. Bulletin of Experimental Biology and Medicine. 137(4). 348–351. 1 indexed citations
12.
Revishchin, A. V., et al.. (2003). [Behavioral and morphological asymmetry in brain weight selected mice].. PubMed. 53(2). 176–83. 1 indexed citations
13.
Полтавцева, Р. А., et al.. (2001). Development and Differentiation of Multipotent Human Neural Cells in vitro. Doklady Biochemistry and Biophysics. 379(1-6). 304–308. 4 indexed citations
14.
Gi, Kovalev, et al.. (2000). [Strain-specific response in mice to the neonatal administration of ACTH(4-10) fragment: behavior, neurochemistry, and brain morphology].. PubMed. 36(11). 1507–14. 6 indexed citations
15.
Revishchin, A. V. & L.J. Garey. (1993). Neuronal morphology in the lateral geniculate nucleus of the porpoise (Phocoena phocoena).. PubMed. 34(1). 25–34. 3 indexed citations
16.
Revishchin, A. V. & L.J. Garey. (1991). Laminar Distribution of Cytochrome Oxidase Staining in Cetacean Isocortex. Brain Behavior and Evolution. 37(6). 355–367. 7 indexed citations
17.
Revishchin, A. V., et al.. (1989). [Sources of thalamic afferent neurons, projecting into the suprasylvian gyrus of the dolphin cerebral cortex].. PubMed. 21(4). 529–39. 4 indexed citations
18.
Garey, L.J., J. Takács, A. V. Revishchin, & J. Hámori. (1989). Quantitative distribution of GABA-immunoreactive neurons in cetacean visual cortex is similar to that in land mammals. Brain Research. 485(2). 278–284. 17 indexed citations
19.
Revishchin, A. V., et al.. (1988). [Laminar distribution of cytochrome oxidase activity in the porpoise neocortex].. PubMed. 302(6). 1486–9. 1 indexed citations
20.
Revishchin, A. V.. (1977). [Types of receptive fields of neurons in different laminae of the rabbit visual cortex].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 63(10). 1392–7. 2 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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