Irena Nalepa

2.0k total citations
112 papers, 1.6k citations indexed

About

Irena Nalepa is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Irena Nalepa has authored 112 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Cellular and Molecular Neuroscience, 44 papers in Molecular Biology and 24 papers in Behavioral Neuroscience. Recurrent topics in Irena Nalepa's work include Neuroscience and Neuropharmacology Research (39 papers), Receptor Mechanisms and Signaling (33 papers) and Stress Responses and Cortisol (24 papers). Irena Nalepa is often cited by papers focused on Neuroscience and Neuropharmacology Research (39 papers), Receptor Mechanisms and Signaling (33 papers) and Stress Responses and Cortisol (24 papers). Irena Nalepa collaborates with scholars based in Poland, Italy and Germany. Irena Nalepa's co-authors include Jerzy Vetulani, Grzegorz Kreiner, Adam Roman, J Vetulani, Agnieszka Zelek-Molik, Lucyna Antkiewicz‐Michaluk, Ewelina Rojewska, Joanna Mika, Marta Kowalska and Magdalena Żychowska and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Irena Nalepa

107 papers receiving 1.6k citations

Peers

Irena Nalepa
Sung Woo Park South Korea
Güner Ulak Türkiye
Arthur J. Mayorga United States
Vallo Volke Estonia
David Dao United States
Fraser Murray United Kingdom
Angelo Ceci Germany
Irena Nalepa
Citations per year, relative to Irena Nalepa Irena Nalepa (= 1×) peers Sylvain Roux

Countries citing papers authored by Irena Nalepa

Since Specialization
Citations

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

Fields of papers citing papers by Irena Nalepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irena Nalepa

This figure shows the co-authorship network connecting the top 25 collaborators of Irena Nalepa. A scholar is included among the top collaborators of Irena Nalepa 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 Irena Nalepa. Irena Nalepa 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.
Zelek-Molik, Agnieszka, et al.. (2025). Restraint stress effects on glutamate signaling protein levels in the rats’ frontal cortex: Does β1 adrenoceptor activity matter?. Frontiers in Pharmacology. 15. 1451895–1451895. 2 indexed citations
2.
Nalepa, Irena, et al.. (2024). Sex differences in the murine HPA axis after acute and repeated restraint stress. Stress. 28(1). 2447079–2447079. 1 indexed citations
3.
Roman, Adam, Olga Woźnicka, Elżbieta Pyza, et al.. (2023). Investigating the potential effects of α-synuclein aggregation on susceptibility to chronic stress in a mouse Parkinson’s disease model. Pharmacological Reports. 75(6). 1474–1487. 2 indexed citations
4.
Jurga, Agnieszka M., et al.. (2022). Genetic lesions of the noradrenergic system trigger induction of oxidative stress and inflammation in the ventral midbrain. Neurochemistry International. 155. 105302–105302. 4 indexed citations
5.
Kubera, Marta, Grzegorz Kreiner, Katarzyna Curzytek, et al.. (2017). Suppression of pro-inflammatory cytokine expression and lack of anti-depressant-like effect of fluoxetine in lipopolysaccharide-treated old female mice. International Immunopharmacology. 48. 35–42. 14 indexed citations
6.
Żychowska, Magdalena, Ewelina Rojewska, Anna Piotrowska, et al.. (2017). Spinal CCL1/CCR8 signaling interplay as a potential therapeutic target – Evidence from a mouse diabetic neuropathy model. International Immunopharmacology. 52. 261–271. 38 indexed citations
7.
Roman, Adam, et al.. (2017). Assessment of leukocyte activity in mice devoid of the glucocorticoid receptor in the noradrenergic system (GRDBHCre). Immunobiology. 223(2). 227–238. 1 indexed citations
8.
Nalepa, Irena & Elżbieta Pyza. (2017). Jerzy Adam Gracjan Vetulani : 21 I 1936-6 IV 2017. Homo Politicus (Academy of Humanities and Economics in Lodz).
9.
Wąsik, Agnieszka, Irena Romańska, Jerzy Michaluk, et al.. (2015). Neuroprotective Effect of the Endogenous Amine 1MeTIQ in an Animal Model of Parkinson’s Disease. Neurotoxicity Research. 29(3). 351–363. 11 indexed citations
10.
Chmielarz, Piotr, Grzegorz Kreiner, Marta Kot, et al.. (2015). Disruption of glucocorticoid receptors in the noradrenergic system leads to BDNF up-regulation and altered serotonergic transmission associated with a depressive-like phenotype in female GRDBHCre mice. Pharmacology Biochemistry and Behavior. 137. 69–77. 12 indexed citations
11.
Roman, Adam, Grzegorz Kreiner, & Irena Nalepa. (2013). Macrophages and depression – A misalliance or well-arranged marriage?. Pharmacological Reports. 65(6). 1663–1672. 29 indexed citations
12.
Zelek-Molik, Agnieszka, et al.. (2012). Morphine-induced place preference affects mRNA expression of G protein α subunits in rat brain. Pharmacological Reports. 64(3). 546–557. 6 indexed citations
13.
Kreiner, Grzegorz, et al.. (2011). Effects of the noradrenergic neurotoxin DSP-4 on the expression of α1-adrenoceptor subtypes after antidepressant treatment. Pharmacological Reports. 63(6). 1349–1358. 10 indexed citations
14.
Suder, Piotr, Agnieszka Zelek-Molik, Tomasz Dyląg, et al.. (2008). Cryptic peptide derived from the rat neuropeptide FF precursor affects G-proteins linked to opioid receptors in the rat brain. Peptides. 29(11). 1988–1993. 4 indexed citations
15.
Vetulani, J, Flaminia Pavone, Barbara Przewłocka, Vando Borghi, & Irena Nalepa. (2003). The interaction of tetrahydroisoquinoline derivatives with antinociceptive action of morphine and oxotremorine in mice. Journal of Neural Transmission. 110(11). 1205–1213. 1 indexed citations
16.
Vetulani, Jerzy, Lucyna Antkiewicz‐Michaluk, Irena Nalepa, & Mario Sansone. (2003). A possible physiological role for cerebral tetrahydroisoquinolines. Neurotoxicity Research. 5(1-2). 147–155. 33 indexed citations
17.
Vetulani, J, et al.. (2001). Opposite effect of simple tetrahydroisoquinolines on amphetamine- and morphine-stimulated locomotor activity in mice. Journal of Neural Transmission. 108(5). 513–526. 29 indexed citations
18.
Kubera, Marta, Agnieszka Zelek-Molik, Irena Nalepa, et al.. (2000). Splenectomy and Adoptive Cell Transfer Reveal a Prominent Role for Splenic Memory Lymphocytes in the Development of Chronic Relapsing Experimental Autoimmune Encephalomyelitis. Scandinavian Journal of Immunology. 52(4). 356–361. 6 indexed citations
19.
Nalepa, Irena, et al.. (1995). Norepinephrine-independent regulation of GRII mRNA in vivo by a tricyclic antidepressant. Brain Research. 687(1-2). 79–82. 47 indexed citations
20.
Nalepa, Irena, Annita Pintor, Stefano Fortuna, Jerzy Vetulani, & Hanna Michałek. (1989). Increased responsiveness of the cerebral cortical phosphatidylinositol system to noradrenaline and carbachol in senescent rats. Neuroscience Letters. 107(1-3). 195–199. 42 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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