Małgorzata Duszczyk

616 total citations
20 papers, 474 citations indexed

About

Małgorzata Duszczyk is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Małgorzata Duszczyk has authored 20 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Developmental Neuroscience. Recurrent topics in Małgorzata Duszczyk's work include RNA and protein synthesis mechanisms (8 papers), RNA Research and Splicing (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Małgorzata Duszczyk is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), RNA Research and Splicing (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Małgorzata Duszczyk collaborates with scholars based in Poland, United States and Germany. Małgorzata Duszczyk's co-authors include Michael Sattler, Jerzy W. Łazarewicz, Vladimir Rybin, Anton Wutz, Apolonia Ziembowicz, R Gadamski, Katia Zanier, Maitea Guridi, Martin Sadowski and Wojciech Danysz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Małgorzata Duszczyk

19 papers receiving 469 citations

Peers

Małgorzata Duszczyk
Keisha Smith United States
Soledad Galli Argentina
Cherine Belal United States
Chia‐Yi Kuan United States
Bongki Cho South Korea
Keisha Smith United States
Małgorzata Duszczyk
Citations per year, relative to Małgorzata Duszczyk Małgorzata Duszczyk (= 1×) peers Keisha Smith

Countries citing papers authored by Małgorzata Duszczyk

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Duszczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Duszczyk

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

All Works

20 of 20 papers shown
1.
Moursy, Ahmed, Antoine Cléry, Stefan Gerhardy, et al.. (2023). RNA recognition by Npl3p reveals U2 snRNA-binding compatible with a chaperone role during splicing. Nature Communications. 14(1). 7166–7166. 2 indexed citations
2.
Duszczyk, Małgorzata, Harry Wischnewski, Rajika Arora, et al.. (2022). The solution structure of Dead End bound to AU-rich RNA reveals an unusual mode of tandem RRM-RNA recognition required for mRNA regulation. Nature Communications. 13(1). 5892–5892. 9 indexed citations
3.
Ripin, Nina, Julien Boudet, Małgorzata Duszczyk, et al.. (2019). Molecular basis for AU-rich element recognition and dimerization by the HuR C-terminal RRM. Proceedings of the National Academy of Sciences. 116(8). 2935–2944. 75 indexed citations
4.
Duszczyk, Małgorzata, Marcin Gamdzyk, Apolonia Ziembowicz, et al.. (2015). Antidepressant-like and anxiolytic-like effects of mild hypobaric hypoxia in mice: possible involvement of neuropeptide Y. Acta Neurobiologiae Experimentalis. 75(4). 364–371. 13 indexed citations
5.
Sulejczak, Dorota, et al.. (2014). Original article Delayed preconditioning with NMDA receptor antagonists in a rat model of perinatal asphyxia. Folia Neuropathologica. 3(3). 270–284. 12 indexed citations
6.
Cauli, Omar, Andrea Cabrera‐Pastor, Carla Giménez‐Garzó, et al.. (2013). Blocking NMDA Receptors Delays Death in Rats with Acute Liver Failure by Dual Protective Mechanisms in Kidney and Brain. NeuroMolecular Medicine. 16(2). 360–375. 16 indexed citations
7.
Dallmann, André, Bernd Simon, Małgorzata Duszczyk, et al.. (2013). Efficient Detection of Hydrogen Bonds in Dynamic Regions of RNA by Sensitivity‐Optimized NMR Pulse Sequences. Angewandte Chemie International Edition. 52(40). 10487–10490. 26 indexed citations
8.
Sanchez, Sandrine, Joanna Pankiewicz, Jungsu Kim, et al.. (2013). Blocking the Interaction between Apolipoprotein E and Aβ Reduces Intraneuronal Accumulation of Aβ and Inhibits Synaptic Degeneration. American Journal Of Pathology. 182(5). 1750–1768. 75 indexed citations
9.
Dallmann, André, Bernd Simon, Małgorzata Duszczyk, et al.. (2013). Efficient Detection of Hydrogen Bonds in Dynamic Regions of RNA by Sensitivity‐Optimized NMR Pulse Sequences. Angewandte Chemie. 125(40). 10681–10684. 1 indexed citations
11.
Duszczyk, Małgorzata, et al.. (2012). In vivo hippocampal microdialysis reveals impairment of NMDA receptor–cGMP signaling in APPSW and APPSW/PS1L166P Alzheimer’s transgenic mice. Neurochemistry International. 61(7). 976–980. 10 indexed citations
12.
Duszczyk, Małgorzata & Michael Sattler. (2011). 1H, 13C, 15N and 31P chemical shift assignments of a human Xist RNA A-repeat tetraloop hairpin essential for X-chromosome inactivation. Biomolecular NMR Assignments. 6(1). 75–77. 8 indexed citations
13.
Duszczyk, Małgorzata, Anton Wutz, Vladimir Rybin, & Michael Sattler. (2011). The Xist RNA A-repeat comprises a novel AUCG tetraloop fold and a platform for multimerization. RNA. 17(11). 1973–1982. 78 indexed citations
14.
Asuni, Ayodeji A., Małgorzata Duszczyk, & Martin Sadowski. (2011). P3‐002: Hyperglycemia increases amyloid accumulation and exacerbates cerebrovascular pathology in Alzheimer's disease model animals. Alzheimer s & Dementia. 7(4S_Part_15). 1 indexed citations
15.
Duszczyk, Małgorzata, Katia Zanier, & Michael Sattler. (2008). A NMR strategy to unambiguously distinguish nucleic acid hairpin and duplex conformations applied to a Xist RNA A-repeat. Nucleic Acids Research. 36(22). 7068–7077. 36 indexed citations
16.
Duszczyk, Małgorzata, Apolonia Ziembowicz, R Gadamski, et al.. (2008). Changes in the NPY immunoreactivity in gerbil hippocampus after hypoxic and ischemic preconditioning. Neuropeptides. 43(1). 31–39. 25 indexed citations
17.
Duszczyk, Małgorzata, Apolonia Ziembowicz, R Gadamski, & Jerzy W. Łazarewicz. (2006). Behavioral evaluation of ischemic damage to CA1 hippocampal neurons: Effects of preconditioning. Acta Neurobiologiae Experimentalis. 66(4). 311–319. 9 indexed citations
18.
Duszczyk, Małgorzata, et al.. (2006). Neuroprotective potential of group I metabotropic glutamate receptor antagonists in two ischemic models. Neurochemistry International. 48(6-7). 485–490. 28 indexed citations
19.
Duszczyk, Małgorzata, R Gadamski, Apolonia Ziembowicz, & Jerzy W. Łazarewicz. (2006). Antagonists of group I metabotropic glutamate receptors do not inhibit induction of ischemic tolerance in gerbil hippocampus. Neurochemistry International. 48(6-7). 478–484. 6 indexed citations
20.
Duszczyk, Małgorzata, R Gadamski, Apolonia Ziembowicz, Wojciech Danysz, & Jerzy W. Łazarewicz. (2005). NMDA receptor antagonism does not inhibit induction of ischemic tolerance in gerbil brainin vivo. Neurotoxicity Research. 7(4). 283–292. 17 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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