Mikhail A. Kostylev

2.3k total citations · 2 hit papers
18 papers, 1.8k citations indexed

About

Mikhail A. Kostylev is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mikhail A. Kostylev has authored 18 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 10 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mikhail A. Kostylev's work include Alzheimer's disease research and treatments (13 papers), Prion Diseases and Protein Misfolding (10 papers) and Neuroscience and Neuropharmacology Research (6 papers). Mikhail A. Kostylev is often cited by papers focused on Alzheimer's disease research and treatments (13 papers), Prion Diseases and Protein Misfolding (10 papers) and Neuroscience and Neuropharmacology Research (6 papers). Mikhail A. Kostylev collaborates with scholars based in United States, Russia and Germany. Mikhail A. Kostylev's co-authors include Stephen M. Strittmatter, Haakon B. Nygaard, Erik C. Gunther, Ji Won Um, Alexander O. Vortmeyer, A Kaufman, Massimiliano Stagi, Thomas Wısnıewskı, Laura T. Haas and Hideyuki Takahashi and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Neuron.

In The Last Decade

Mikhail A. Kostylev

16 papers receiving 1.8k citations

Hit Papers

Alzheimer amyloid-β oligomer bound to postsynaptic prion ... 2012 2026 2016 2021 2012 2013 100 200 300 400 500

Peers

Mikhail A. Kostylev
Erik C. Gunther United States
Ian A. Napier Australia
David A. Gimbel United States
Tiernan T. O’Malley United States
Amie L. Phinney Switzerland
Michael S. Perkinton United Kingdom
Arne Ittner Australia
Erik C. Gunther United States
Mikhail A. Kostylev
Citations per year, relative to Mikhail A. Kostylev Mikhail A. Kostylev (= 1×) peers Erik C. Gunther

Countries citing papers authored by Mikhail A. Kostylev

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail A. Kostylev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail A. Kostylev

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

All Works

18 of 18 papers shown
1.
Oliveira, Joana, S. K. Saha, Xiaofeng Li, et al.. (2025). Sprinkling in extra validation for high-value PTMs and therapeutic Abs with MILKSHAKE Western blots and Sundae ELISAs. New Biotechnology. 89. 11–19.
2.
Liu, Yangyi, Marcus D. Tuttle, Mikhail A. Kostylev, et al.. (2024). Cellular Prion Protein Conformational Shift after Liquid–Liquid Phase Separation Regulated by a Polymeric Antagonist and Mutations. Journal of the American Chemical Society. 146(40). 27903–27914. 2 indexed citations
3.
Smith, Levi M., Mikhail A. Kostylev, Suho Lee, & Stephen M. Strittmatter. (2019). Systematic and standardized comparison of reported amyloid-β receptors for sufficiency, affinity, and Alzheimer's disease relevance. Journal of Biological Chemistry. 294(15). 6042–6053. 53 indexed citations
4.
Kostylev, Mikhail A., Marcus D. Tuttle, Suho Lee, et al.. (2018). Liquid and Hydrogel Phases of PrPC Linked to Conformation Shifts and Triggered by Alzheimer’s Amyloid-β Oligomers. Molecular Cell. 72(3). 426–443.e12. 83 indexed citations
6.
Kostylev, Mikhail A., et al.. (2017). The streaming processing of sar data in distributed environment with Apache Spark. Vestnik of Saint Petersburg University Applied Mathematics Computer Science Control Processes. 13(2). 168–181. 1 indexed citations
7.
Takahashi, Hideyuki, Sarah M. Bhagat, A Kaufman, et al.. (2017). Opposing effects of progranulin deficiency on amyloid and tau pathologies via microglial TYROBP network. Acta Neuropathologica. 133(5). 785–807. 66 indexed citations
8.
Yu, Zizi, et al.. (2016). Early Activation of Experience-Independent Dendritic Spine Turnover in a Mouse Model of Alzheimer's Disease. Cerebral Cortex. 27(7). 3660–3674. 21 indexed citations
9.
Nygaard, Haakon B., et al.. (2015). Brivaracetam, but not ethosuximide, reverses memory impairments in an Alzheimer’s disease mouse model. Alzheimer s Research & Therapy. 7(1). 25–25. 79 indexed citations
10.
Kostylev, Mikhail A., A Kaufman, Haakon B. Nygaard, et al.. (2015). Prion-Protein-interacting Amyloid-β Oligomers of High Molecular Weight Are Tightly Correlated with Memory Impairment in Multiple Alzheimer Mouse Models. Journal of Biological Chemistry. 290(28). 17415–17438. 100 indexed citations
11.
Haas, Laura T., Santiago V. Salazar, Mikhail A. Kostylev, et al.. (2015). Metabotropic glutamate receptor 5 couples cellular prion protein to intracellular signalling in Alzheimer’s disease. Brain. 139(2). 526–546. 102 indexed citations
12.
Kaufman, A, Santiago V. Salazar, Laura T. Haas, et al.. (2015). Fyn inhibition rescues established memory and synapse loss in Alzheimer mice. Annals of Neurology. 77(6). 953–971. 242 indexed citations
13.
Haas, Laura T., Mikhail A. Kostylev, & Stephen M. Strittmatter. (2014). Therapeutic Molecules and Endogenous Ligands Regulate the Interaction between Brain Cellular Prion Protein (PrPC) and Metabotropic Glutamate Receptor 5 (mGluR5). Journal of Biological Chemistry. 289(41). 28460–28477. 63 indexed citations
14.
Strittmatter, Stephen M., Mikhail A. Kostylev, A Kaufman, et al.. (2014). A Synaptotoxic Pathway from Aβ oligomer to Prion Protein to mGluR5 to F kinase in Alzheimer's Disease. Neurobiology of Aging. 35. S21–S21. 1 indexed citations
15.
Um, Ji Won, A Kaufman, Mikhail A. Kostylev, et al.. (2013). Metabotropic Glutamate Receptor 5 Is a Coreceptor for Alzheimer Aβ Oligomer Bound to Cellular Prion Protein. Neuron. 80(2). 531–531. 2 indexed citations
16.
Um, Ji Won, A Kaufman, Mikhail A. Kostylev, et al.. (2013). Metabotropic Glutamate Receptor 5 Is a Coreceptor for Alzheimer Aβ Oligomer Bound to Cellular Prion Protein. Neuron. 79(5). 887–902. 451 indexed citations breakdown →
17.
Um, Ji Won, Haakon B. Nygaard, Mikhail A. Kostylev, et al.. (2012). Alzheimer amyloid-β oligomer bound to postsynaptic prion protein activates Fyn to impair neurons. Nature Neuroscience. 15(9). 1227–1235. 525 indexed citations breakdown →
18.
Kostylev, Mikhail A. & Yegor Malashichev. (2007). Correlation of the shoulder girdle asymmetry with the limb skeleton asymmetry in Xenopus laevis. Doklady Biological Sciences. 416(1). 374–376. 3 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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