Alexander Revischin

551 total citations
8 papers, 437 citations indexed

About

Alexander Revischin is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Alexander Revischin has authored 8 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 2 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Alexander Revischin's work include Stress Responses and Cortisol (1 paper), Neonatal and fetal brain pathology (1 paper) and Nanoplatforms for cancer theranostics (1 paper). Alexander Revischin is often cited by papers focused on Stress Responses and Cortisol (1 paper), Neonatal and fetal brain pathology (1 paper) and Nanoplatforms for cancer theranostics (1 paper). Alexander Revischin collaborates with scholars based in Russia, United Kingdom and Austria. Alexander Revischin's co-authors include Galina Pavlova, Maxim Karagyaur, Kseniya Rubina, Tatiana Lopatina, Natalia Kalinina, Dmitry Stambolsky, Yelena Parfyonova, Tkachuk Va, Ana Isabel Santos and Barry W. Festoff and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Behavior and Immunity.

In The Last Decade

Alexander Revischin

7 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Revischin Russia	4	164	150	96	91	77	8	437
Tamir Ben Hur Israel	8	93 0.6×	83 0.6×	76 0.8×	82 0.9×	37 0.5×	10	452
Severiano Dos-Anjos Spain	14	201 1.2×	156 1.0×	36 0.4×	35 0.4×	131 1.7×	24	544
Yi-Ling Lu United States	12	43 0.3×	188 1.3×	119 1.2×	48 0.5×	32 0.4×	16	539
Kathryn M. Madalena United States	7	49 0.3×	290 1.9×	61 0.6×	28 0.3×	56 0.7×	8	629
Nathan C. Manley United States	13	197 1.2×	252 1.7×	49 0.5×	27 0.3×	59 0.8×	16	982
Anandh Dhanushkodi India	13	90 0.5×	126 0.8×	21 0.2×	18 0.2×	37 0.5×	25	423
Katherine A. Ruppert United States	6	117 0.7×	72 0.5×	61 0.6×	12 0.1×	42 0.5×	7	473
Massimiliano Caioni Germany	10	186 1.1×	216 1.4×	24 0.3×	26 0.3×	57 0.7×	10	499
Annalisa Vicario Italy	9	79 0.5×	267 1.8×	28 0.3×	22 0.2×	29 0.4×	11	695
F. Nicola Brazil	13	68 0.4×	78 0.5×	29 0.3×	16 0.2×	55 0.7×	20	475

Countries citing papers authored by Alexander Revischin

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Revischin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Revischin

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Revischin. A scholar is included among the top collaborators of Alexander Revischin 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 Alexander Revischin. Alexander Revischin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Goryaynov, S. A., Georg Widhalm, Maria Goldberg, et al.. (2019). The Role of 5-ALA in Low-Grade Gliomas and the Influence of Antiepileptic Drugs on Intraoperative Fluorescence. Frontiers in Oncology. 9. 423–423. 46 indexed citations

Goryaynov, S. A., et al.. (2017). About astroglia in the brain and pathology. SHILAP Revista de lepidopterología.

Revischin, Alexander, et al.. (2016). Impact modified glial-derived neurotrophic factor (GDNF) for regeneration of epithelial and epithelial-stromal corneal defect in the experiment. Genes and Cells. 11(3). 54–62. 1 indexed citations

Couch, Yvonne, Daniel C. Anthony, Oleg Dolgov, et al.. (2013). Microglial activation, increased TNF and SERT expression in the prefrontal cortex define stress-altered behaviour in mice susceptible to anhedonia. Brain Behavior and Immunity. 29. 136–146. 152 indexed citations

Lopatina, Tatiana, Natalia Kalinina, Maxim Karagyaur, et al.. (2011). Adipose-Derived Stem Cells Stimulate Regeneration of Peripheral Nerves: BDNF Secreted by These Cells Promotes Nerve Healing and Axon Growth De Novo. PLoS ONE. 6(3). e17899–e17899. 231 indexed citations

Revischin, Alexander, et al.. (2009). Audiogenic Epilepsy in Mice with Different Genotypes after Neonatal Treatments Enhancing Neurogenesis in Dentate Gyrus. Bulletin of Experimental Biology and Medicine. 147(4). 458–461. 1 indexed citations

Малашенко, А. М., et al.. (2009). The 1×C3 panel of recombinant inbred mouse strains. Presence or absence of pathologic neurologic traits of one of parental strains. Russian Journal of Genetics. 45(2). 247–250. 2 indexed citations

Korochkin, L. I., et al.. (2003). Cell-Based Therapy of Chronic Degenerative Diseases of the Central Nervous System. Advances in experimental medicine and biology. 534. 97–105. 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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