Michael S. Sidorov

1.5k total citations
21 papers, 1.0k citations indexed

About

Michael S. Sidorov is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael S. Sidorov has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Genetics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael S. Sidorov's work include Genetics and Neurodevelopmental Disorders (13 papers), Genetic Syndromes and Imprinting (10 papers) and Epigenetics and DNA Methylation (6 papers). Michael S. Sidorov is often cited by papers focused on Genetics and Neurodevelopmental Disorders (13 papers), Genetic Syndromes and Imprinting (10 papers) and Epigenetics and DNA Methylation (6 papers). Michael S. Sidorov collaborates with scholars based in United States, Netherlands and Switzerland. Michael S. Sidorov's co-authors include Mark F. Bear, Lothar Lindemann, Laurence Ozmen, Theresa M. Ballard, Will Spooren, Joseph G. Wettstein, Georg Jaeschke, Aubin Michalon, Benjamin D. Philpot and Emily K. Osterweil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Michael S. Sidorov

19 papers receiving 1.0k citations

Peers

Michael S. Sidorov

GENET

CMN

Changuk Chung South Korea

Seungmin Ha South Korea

James Jaworski United States

Simone Berkel Germany

Holly N. Cukier United States

Laura Schaevitz United States

David N. Lieberman United States

Shuang Hao United States

Giuseppina Lonetti Italy

Xinran Liu United Kingdom

Changuk Chung South Korea

Michael S. Sidorov

519 ×0.7

GENET

397 ×0.6

538 ×1.2

295 ×1.1

CMN

92 ×1.9

Citations per year, relative to Michael S. Sidorov Michael S. Sidorov (= 1×) peers Changuk Chung

Countries citing papers authored by Michael S. Sidorov

Since Specialization

Citations

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

Fields of papers citing papers by Michael S. Sidorov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Sidorov. 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 Michael S. Sidorov. The network helps show where Michael S. Sidorov may publish in the future.

Co-authorship network of co-authors of Michael S. Sidorov

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

All Works

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20 of 20 papers shown

Dickinson, Abigail, et al.. (2025). Atypical alpha oscillatory EEG dynamics in children with Angelman syndrome. NeuroImage Clinical. 48. 103865–103865. 1 indexed citations

Lischka, Fritz W., et al.. (2025). The Ubiquitin E3 Ligase UBE3A Regulates GRIPAP1 and PACSIN1 Proteins Linked to the Endocytic Recycling of AMPA Receptors. Molecular and Cellular Biology. 45(9). 353–368.

Gavornik, Jeffrey P., et al.. (2024). Sleep is necessary for experience-dependent sequence plasticity in mouse primary visual cortex. SLEEP. 48(3). 1 indexed citations

Judson, Matthew C., Michael S. Sidorov, Brittany Williams, et al.. (2022). Molecular and behavioral consequences of Ube3a gene overdosage in mice. JCI Insight. 7(18). 15 indexed citations

Wang, Li, et al.. (2022). Multidimensional analysis of behavior predicts genotype with high accuracy in a mouse model of Angelman syndrome. Translational Psychiatry. 12(1). 426–426. 6 indexed citations

Guoynes, Caleigh D., et al.. (2022). Dissociating motor impairment from five-choice serial reaction time task performance in a mouse model of Angelman syndrome. Frontiers in Behavioral Neuroscience. 16. 968159–968159. 2 indexed citations

Gordon, Shiri, et al.. (2021). An atlas of classifiers—a machine learning paradigm for brain MRI segmentation. Medical & Biological Engineering & Computing. 59(9). 1833–1849. 2 indexed citations

Sidorov, Michael S., Hyojin Kim, Marie Rougié, et al.. (2020). Visual Sequences Drive Experience-Dependent Plasticity in Mouse Anterior Cingulate Cortex. Cell Reports. 32(11). 108152–108152. 16 indexed citations

Frohlich, Joel, Meghan T. Miller, Lynne M. Bird, et al.. (2019). Electrophysiological Phenotype in Angelman Syndrome Differs Between Genotypes. Biological Psychiatry. 85(9). 752–759. 58 indexed citations

10.

Sidorov, Michael S. & Benjamin D. Philpot. (2019). Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis. UNC Libraries.

11.

Sidorov, Michael S., Matthew C. Judson, Hyojin Kim, et al.. (2018). Enhanced Operant Extinction and Prefrontal Excitability in a Mouse Model of Angelman Syndrome. Journal of Neuroscience. 38(11). 2671–2682. 17 indexed citations

12.

Sidorov, Michael S., Zheng Fan, David Lee, et al.. (2018). Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study. Molecular Autism. 9(1). 32–32. 45 indexed citations

13.

Sidorov, Michael S., Gina Deck, Marjan Dolatshahi, et al.. (2017). Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis. Journal of Neurodevelopmental Disorders. 9(1). 17–17. 63 indexed citations

14.

Judson, Matthew C., Michael L. Wallace, Michael S. Sidorov, et al.. (2016). GABAergic Neuron-Specific Loss of Ube3a Causes Angelman Syndrome-Like EEG Abnormalities and Enhances Seizure Susceptibility. Neuron. 90(1). 56–69. 119 indexed citations

15.

Sidorov, Michael S., Eitan S Kaplan, Emily K. Osterweil, Lothar Lindemann, & Mark F. Bear. (2015). Metabotropic glutamate receptor signaling is required for NMDA receptor-dependent ocular dominance plasticity and LTD in visual cortex. Proceedings of the National Academy of Sciences. 112(41). 12852–12857. 19 indexed citations

16.

Sidorov, Michael S., et al.. (2014). Extinction of an instrumental response: a cognitive behavioral assay in Fmr1 knockout mice. Genes Brain & Behavior. 13(5). 451–458. 15 indexed citations

17.

Osterweil, Emily K., Shih‐Chieh Chuang, Alexander A. Chubykin, et al.. (2013). Lovastatin Corrects Excess Protein Synthesis and Prevents Epileptogenesis in a Mouse Model of Fragile X Syndrome. Neuron. 77(2). 243–250. 178 indexed citations

18.

Sidorov, Michael S., Benjamin D. Auerbach, & Mark F. Bear. (2013). Fragile X mental retardation protein and synaptic plasticity. Molecular Brain. 6(1). 15–15. 5 indexed citations

19.

Michalon, Aubin, Michael S. Sidorov, Theresa M. Ballard, et al.. (2012). Chronic Pharmacological mGlu5 Inhibition Corrects Fragile X in Adult Mice. Neuron. 74(1). 49–56. 375 indexed citations

20.

Hammond, Rebecca, Lin Lin, Michael S. Sidorov, Andrew M. Wikenheiser, & Dax A. Hoffman. (2008). Protein Kinase A Mediates Activity-Dependent Kv4.2 Channel Trafficking. Journal of Neuroscience. 28(30). 7513–7519. 72 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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