Michał Ślęzak

1.3k total citations
18 papers, 840 citations indexed

About

Michał Ślęzak is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Michał Ślęzak has authored 18 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Michał Ślęzak's work include Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Stress Responses and Cortisol (4 papers). Michał Ślęzak is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Stress Responses and Cortisol (4 papers). Michał Ślęzak collaborates with scholars based in Poland, France and Germany. Michał Ślęzak's co-authors include Frank W. Pfrieger, Michał Korostyński, Zbigniew Sołtys, Ryszard Przewłocki, Jonas Frisén, Daniel Metzger, Christian Göritz, Pierre Chambon, Marcin Piechota and Agnieszka Gieryk and has published in prestigious journals such as PLoS ONE, Trends in Neurosciences and Current Biology.

In The Last Decade

Michał Ślęzak

17 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michał Ślęzak Poland 13 356 274 223 155 132 18 840
Marcin Piechota Poland 22 445 1.3× 550 2.0× 221 1.0× 90 0.6× 185 1.4× 61 1.4k
Mei-Fang Xiao United States 21 444 1.2× 539 2.0× 198 0.9× 185 1.2× 295 2.2× 28 1.3k
María Santos‐Galindo Spain 17 326 0.9× 436 1.6× 305 1.4× 145 0.9× 174 1.3× 21 1.2k
Céline S. Nicolas France 13 346 1.0× 515 1.9× 138 0.6× 77 0.5× 126 1.0× 23 965
Jeffrey S. Thinschmidt United States 22 366 1.0× 503 1.8× 146 0.7× 50 0.3× 104 0.8× 34 1.1k
Therese Riedemann Germany 13 403 1.1× 334 1.2× 131 0.6× 149 1.0× 85 0.6× 19 776
Nélio Gonçalves Portugal 18 482 1.4× 371 1.4× 334 1.5× 53 0.3× 200 1.5× 25 1.2k
Alejandra Bernardi United States 13 394 1.1× 305 1.1× 165 0.7× 107 0.7× 95 0.7× 20 720
Valeria Bortolotto Italy 14 228 0.6× 190 0.7× 205 0.9× 221 1.4× 138 1.0× 22 690
Beth Andbjer Sweden 18 476 1.3× 388 1.4× 236 1.1× 84 0.5× 174 1.3× 29 949

Countries citing papers authored by Michał Ślęzak

Since Specialization
Citations

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

Fields of papers citing papers by Michał Ślęzak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Ślęzak

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Ślęzak. A scholar is included among the top collaborators of Michał Ślęzak 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 Michał Ślęzak. Michał Ślęzak 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.
Jurek, Benjamin, et al.. (2025). Long-term deep phenotyping of behavioral traits in mice using homecage monitoring. Neuroscience & Biobehavioral Reviews. 180. 106453–106453.
2.
Piechota, Marcin, Małgorzata Borczyk, Sławomir Gołda, et al.. (2025). A cross-tissue transcriptomic approach decodes glucocorticoid receptor-dependent links to human metabolic phenotypes. BMC Genomics. 26(1). 462–462. 1 indexed citations
3.
Ślęzak, Michał, et al.. (2024). Targeting glucocorticoid receptor signaling pathway for treatment of stress-related brain disorders. Pharmacological Reports. 76(6). 1333–1345. 10 indexed citations
4.
Prete, Dolores Del, Eliza Koroś, Bastian Hengerer, et al.. (2022). Impact of Fkbp5 × early life adversity × sex in humanised mice on multidimensional stress responses and circadian rhythmicity. Molecular Psychiatry. 27(8). 3544–3555. 12 indexed citations
5.
Edwards‐Faret, Gabriela, Filip de Vin, Michał Ślęzak, et al.. (2022). A New Technical Approach for Cross-species Examination of Neuronal Wiring and Adult Neuron-glia Functions. Neuroscience. 508. 40–51. 3 indexed citations
6.
Shinmyo, Yohei, K. Saito, Tsuyoshi Hattori, et al.. (2022). Localized astrogenesis regulates gyrification of the cerebral cortex. Science Advances. 8(10). eabi5209–eabi5209. 25 indexed citations
7.
Płóciennikowska, Agnieszka, Jamie Frankish, Dolores Del Prete, et al.. (2021). TLR3 Activation by Zika Virus Stimulates Inflammatory Cytokine Production Which Dampens the Antiviral Response Induced by RIG-I-Like Receptors. Journal of Virology. 95(10). 35 indexed citations
8.
Ślęzak, Michał, Steffen Kandler, Paul P. Van Veldhoven, et al.. (2019). Distinct Mechanisms for Visual and Motor-Related Astrocyte Responses in Mouse Visual Cortex. Current Biology. 29(18). 3120–3127.e5. 44 indexed citations
9.
Tertil, Magdalena, Urszula Skupio, Agnieszka Wawrzczak‐Bargieła, et al.. (2018). Glucocorticoid receptor signaling in astrocytes is required for aversive memory formation. Translational Psychiatry. 8(1). 255–255. 51 indexed citations
10.
Ślęzak, Michał, Michał Korostyński, Agnieszka Gieryk, et al.. (2013). Astrocytes are a neural target of morphine action via glucocorticoid receptor‐dependent signaling. Glia. 61(4). 623–635. 49 indexed citations
11.
Starowicz, Katarzyna, Wioletta Makuch, Michał Korostyński, et al.. (2013). Full Inhibition of Spinal FAAH Leads to TRPV1-Mediated Analgesic Effects in Neuropathic Rats and Possible Lipoxygenase-Mediated Remodeling of Anandamide Metabolism. PLoS ONE. 8(4). e60040–e60040. 81 indexed citations
12.
Ślęzak, Michał, et al.. (2011). Cell-type specific regulation of SGK1 isoforms by morphine and dexamethasone. Pharmacological Reports. 63(1). 258–258. 1 indexed citations
13.
Pfrieger, Frank W. & Michał Ślęzak. (2011). Genetic approaches to study glial cells in the rodent brain. Glia. 60(5). 681–701. 39 indexed citations
14.
Piechota, Marcin, Michał Korostyński, Wojciech Solecki, et al.. (2010). The dissection of transcriptional modules regulated by various drugs of abuse in the mouse striatum. Genome biology. 11(5). R48–R48. 129 indexed citations
15.
Ślęzak, Michał, Christian Göritz, Jonas Frisén, et al.. (2007). Transgenic mice for conditional gene manipulation in astroglial cells. Glia. 55(15). 1565–1576. 126 indexed citations
16.
Ślęzak, Michał, Frank W. Pfrieger, & Zbigniew Sołtys. (2006). Synaptic plasticity, astrocytes and morphological homeostasis.. univOAK (4 institutions : Université de Strasbourg, Université de Haute Alsace, INSA Strasbourg, Bibliothèque Nationale et Universitaire de Strasbourg). 30 indexed citations
17.
Ślęzak, Michał, Frank W. Pfrieger, & Zbigniew Sołtys. (2006). Synaptic plasticity, astrocytes and morphological homeostasis. Journal of Physiology-Paris. 99(2-3). 84–91. 28 indexed citations
18.
Ślęzak, Michał & Frank W. Pfrieger. (2003). New roles for astrocytes: Regulation of CNS synaptogenesis. Trends in Neurosciences. 26(10). 531–535. 176 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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