Ewa Siucińska

726 total citations
31 papers, 646 citations indexed

About

Ewa Siucińska is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ewa Siucińska has authored 31 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 21 papers in Cognitive Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Ewa Siucińska's work include Neuroscience and Neuropharmacology Research (23 papers), Neural dynamics and brain function (18 papers) and Memory and Neural Mechanisms (5 papers). Ewa Siucińska is often cited by papers focused on Neuroscience and Neuropharmacology Research (23 papers), Neural dynamics and brain function (18 papers) and Memory and Neural Mechanisms (5 papers). Ewa Siucińska collaborates with scholars based in Poland and United Kingdom. Ewa Siucińska's co-authors include Małgorzata Kossut, Stanislaw Glazewski, J Skangiel-Kramska, Michael G. Stewart, Beata Jabłońska, Małgorzata Jasińska, Elżbieta Pyza, Anita Cybulska-Kłosowicz, David N. Furness and Marcin Gierdalski and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain Research.

In The Last Decade

Ewa Siucińska

31 papers receiving 624 citations

Peers

Ewa Siucińska

CMN

NEURO

PHYSI

Holger Dannenberg United States

Catriona M. Houston United Kingdom

Antti Valjakka Finland

Christina McClure United Kingdom

Joel Black United States

Madoka Narushima Japan

Rodrigo Neves Romcy-Pereira Brazil

Joanna Urban‐Ciećko Poland

András Szőnyi Hungary

Enrica Passino Italy

Holger Dannenberg United States

Ewa Siucińska

374 ×0.7

CMN

385 ×0.9

178 ×1.2

109 ×1.5

NEURO

69 ×1.3

PHYSI

Citations per year, relative to Ewa Siucińska Ewa Siucińska (= 1×) peers Holger Dannenberg

Countries citing papers authored by Ewa Siucińska

Since Specialization

Citations

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

Fields of papers citing papers by Ewa Siucińska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Siucińska

This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Siucińska. A scholar is included among the top collaborators of Ewa Siucińska 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 Ewa Siucińska. Ewa Siucińska 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

Siucińska, Ewa. (2019). Γ-Aminobutyric acid in adult brain: an update. Behavioural Brain Research. 376. 112224–112224. 27 indexed citations

Jasińska, Małgorzata, Ewa Siucińska, Ewa Jasek-Gajda, et al.. (2013). Fear Learning Increases the Number of Polyribosomes Associated with Excitatory and Inhibitory Synapses in the Barrel Cortex. PLoS ONE. 8(2). e54301–e54301. 15 indexed citations

Cybulska-Kłosowicz, Anita, et al.. (2013). Interneurons containing somatostatin are affected by learning-induced cortical plasticity. Neuroscience. 254. 18–25. 23 indexed citations

Jasińska, Małgorzata, Ewa Siucińska, Anita Cybulska-Kłosowicz, et al.. (2010). Rapid, Learning-Induced Inhibitory Synaptogenesis in Murine Barrel Field. Journal of Neuroscience. 30(3). 1176–1184. 63 indexed citations

Liguz‐Lecznar, Monika, et al.. (2009). Impairment of experience-dependent cortical plasticity in aged mice. Neurobiology of Aging. 32(10). 1896–1905. 12 indexed citations

Siucińska, Ewa. (2006). GAD67-positive puncta: Contributors to learning-dependent plasticity in the barrel cortex of adult mice. Brain Research. 1106(1). 52–62. 23 indexed citations

Siucińska, Ewa & Małgorzata Kossut. (2006). Short-term sensory learning does not alter parvalbumin neurons in the barrel cortex of adult mice: A double-labeling study. Neuroscience. 138(2). 715–724. 18 indexed citations

Skibińska, Anna, et al.. (2005). Learning-induced plasticity of cortical representations does not affect GAD65 mRNA expression and immunolabeling of cortical neuropil. Brain Research. 1044(2). 266–271. 8 indexed citations

Siucińska, Ewa & Małgorzata Kossut. (2004). Experience-dependent changes in cortical whisker representation in the adult mouse: A 2-deoxyglucose study. Neuroscience. 127(4). 961–971. 28 indexed citations

10.

Siucińska, Ewa, Małgorzata Kossut, & Michael G. Stewart. (1999). GABA immunoreactivity in mouse barrel field after aversive and appetitive classical conditioning training involving facial vibrissae. Brain Research. 843(1-2). 62–70. 41 indexed citations

11.

Kossut, Małgorzata & Ewa Siucińska. (1998). Learning-induced expansion of cortical maps – what happens to adjacent cortical representations?. Neuroreport. 9(18). 4025–4028. 21 indexed citations

12.

Kossut, Małgorzata & Ewa Siucińska. (1996). Overlap of sensory representations in rat barrel cortex after neonatal vibrissectomy. Acta Neurobiologiae Experimentalis. 56(2). 499–505. 1 indexed citations

13.

Siucińska, Ewa, et al.. (1995). Temporal dynamics and regional distribution of [14C]serine uptake into mouse brain. Acta Neurobiologiae Experimentalis. 55(4). 233–241. 6 indexed citations

14.

Siucińska, Ewa & Małgorzata Kossut. (1995). Differential effects of short-lasting appetitive and aversive classical conditioning upon cortical body maps in the barrel field of adult mice, a 2DG study. Acta Neurobiologiae Experimentalis. 55(5). 1 indexed citations

15.

Jabłońska, Beata, Marcin Gierdalski, Ewa Siucińska, J Skangiel-Kramska, & Małgorzata Kossut. (1995). Partial blocking of NMDA receptors restricts plastic changes in adult mouse barrel cortex. Behavioural Brain Research. 66(1-2). 207–216. 44 indexed citations

16.

Siucińska, Ewa & Małgorzata Kossut. (1994). Plasticity of mystacial fur representation in SI cortex of adult vibrissectomized rats—a 2DG study. Neuroreport. 5(13). 1605–1608. 10 indexed citations

17.

Skangiel-Kramska, J, Stanislaw Glazewski, Beata Jabłońska, Ewa Siucińska, & Małgorzata Kossut. (1994). Reduction of GABAA receptor binding of [3H]muscimol in the barrel field of mice after peripheral denervation: transient and long-lasting effects. Experimental Brain Research. 100(1). 39–46. 56 indexed citations

18.

Kossut, Małgorzata, Stanislaw Glazewski, Ewa Siucińska, & J Skangiel-Kramska. (1993). Functional plasticity and neurotransmitter receptor binding in the vibrissal barrel cortex.. PubMed. 53(1). 161–73. 19 indexed citations

19.

Stewart, M.G., Ewa Siucińska, Małgorzata Kossut, & Heather A. Davies. (1993). Loss of glutamate immunoreactivity from mouse first somatosensory (SI) cortex following neonatal vibrissal lesion. Brain Research. 621(2). 331–338. 12 indexed citations

20.

Kossut, Małgorzata, Michael G. Stewart, Ewa Siucińska, Rachel C. Bourne, & P.L.A. Gabbott. (1991). Loss of γ-aminobutyric acid (GABA) immunoreactivity from mouse first somatosensory (SI) cortex following neonatal, but not adult, denervation. Brain Research. 538(1). 165–170. 38 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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