Danuta Wrona

881 total citations
37 papers, 684 citations indexed

About

Danuta Wrona is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Danuta Wrona has authored 37 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Behavioral Neuroscience, 13 papers in Biological Psychiatry and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Danuta Wrona's work include Stress Responses and Cortisol (21 papers), Tryptophan and brain disorders (13 papers) and Neuroendocrine regulation and behavior (8 papers). Danuta Wrona is often cited by papers focused on Stress Responses and Cortisol (21 papers), Tryptophan and brain disorders (13 papers) and Neuroendocrine regulation and behavior (8 papers). Danuta Wrona collaborates with scholars based in Poland, United States and Thailand. Danuta Wrona's co-authors include W Trojniar, Irena Majkutewicz, Dorota Myślińska, Magdalena Podlacha, Karolina Pierzynowska, Ilona Klejbor, Theresa J. Goletz, Marta Kubera, M. Kamyczek and Jacek M. Witkowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

Danuta Wrona

34 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danuta Wrona Poland 14 195 192 161 155 140 37 684
Sarah M. Clark United States 20 197 1.0× 158 0.8× 281 1.7× 165 1.1× 144 1.0× 33 928
Sachiko Take Japan 12 160 0.8× 117 0.6× 99 0.6× 159 1.0× 160 1.1× 18 649
Marie A. Labouesse Switzerland 16 177 0.9× 132 0.7× 315 2.0× 173 1.1× 217 1.6× 21 942
Rushaniya Khairova United States 5 281 1.4× 110 0.6× 306 1.9× 136 0.9× 211 1.5× 7 826
Sandrine Cremona France 12 219 1.1× 228 1.2× 193 1.2× 62 0.4× 81 0.6× 19 769
Ben Greenwood United States 6 258 1.3× 119 0.6× 182 1.1× 66 0.4× 124 0.9× 9 607
Heidi A. Jurgens United States 6 105 0.5× 267 1.4× 128 0.8× 87 0.6× 115 0.8× 8 776
Yuyan Cheng United States 14 210 1.1× 207 1.1× 282 1.8× 138 0.9× 341 2.4× 27 958
Mark C Flynn United States 11 165 0.8× 253 1.3× 116 0.7× 219 1.4× 123 0.9× 12 818
Rosana Peñalva United Kingdom 14 185 0.9× 124 0.6× 105 0.7× 121 0.8× 201 1.4× 17 673

Countries citing papers authored by Danuta Wrona

Since Specialization
Citations

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

Fields of papers citing papers by Danuta Wrona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danuta Wrona

This figure shows the co-authorship network connecting the top 25 collaborators of Danuta Wrona. A scholar is included among the top collaborators of Danuta Wrona 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 Danuta Wrona. Danuta Wrona 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.
Wrona, Danuta, et al.. (2024). High Behavioral Reactivity to Novelty as a Susceptibility Factor for Memory and Anxiety Disorders in Streptozotocin-Induced Neuroinflammation as a Rat Model of Alzheimer’s Disease. International Journal of Molecular Sciences. 25(21). 11562–11562. 5 indexed citations
2.
Majkutewicz, Irena, et al.. (2023). Deep-Brain Subthalamic Nucleus Stimulation Enhances Food-Related Motivation by Influencing Neuroinflammation and Anxiety Levels in a Rat Model of Early-Stage Parkinson’s Disease. International Journal of Molecular Sciences. 24(23). 16916–16916. 4 indexed citations
3.
Wrona, Danuta, et al.. (2022). Dimethyl Fumarate as the Peripheral Blood Inflammatory Mediators Inhibitor in Prevention of Streptozotocin-Induced Neuroinflammation in Aged Rats. SHILAP Revista de lepidopterología. 10 indexed citations
4.
Majkutewicz, Irena, et al.. (2021). Prolonged Peripheral Immunosuppressive Responses as Consequences of Random Amphetamine Treatment, Amphetamine Withdrawal and Subsequent Amphetamine Challenges in Rats. Journal of Neuroimmune Pharmacology. 16(4). 870–887. 6 indexed citations
5.
Majkutewicz, Irena, et al.. (2020). Subthalamic Deep Brain Stimulation Affects Plasma Corticosterone Concentration and Peripheral Immunity Changes in Rat Model of Parkinson’s Disease. Journal of Neuroimmune Pharmacology. 16(2). 454–469. 12 indexed citations
6.
7.
Grygier, Beata, Marta Kubera, Danuta Wrona, et al.. (2017). Stimulatory effect of desipramine on lung metastases of adenocarcinoma MADB 106 in stress highly-sensitive and stress non-reactive rats. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 80(Pt C). 279–290. 3 indexed citations
8.
9.
Wrona, Danuta, et al.. (2013). Restraint effects on stress-related hormones and blood natural killer cell cytotoxicity in pigs with a mutated ryanodine receptor. Domestic Animal Endocrinology. 44(4). 195–203. 12 indexed citations
10.
11.
Wrona, Danuta, et al.. (2012). A detailed examination of the antibody prevalence and characteristics of anti-ESA antibodies. Nephrology Dialysis Transplantation. 27(10). 3892–3899. 14 indexed citations
12.
13.
Majkutewicz, Irena, et al.. (2010). Lesion of the ventral tegmental area amplifies stimulation-induced Fos expression in the rat brain. Brain Research. 1320. 95–105. 11 indexed citations
14.
Wrona, Danuta. (2006). Neural–immune interactions: An integrative view of the bidirectional relationship between the brain and immune systems. Journal of Neuroimmunology. 172(1-2). 38–58. 234 indexed citations
15.
Wrona, Danuta, Ilona Klejbor, & W Trojniar. (2004). Chronic electric stimulation of the midbrain ventral tegmental area increases spleen but not blood natural killer cell cytotoxicity in rats. Journal of Neuroimmunology. 155(1-2). 85–93. 12 indexed citations
16.
Wrona, Danuta, et al.. (2004). Effects of amphetamine on NK-related cytotoxicity in rats differing in locomotor reactivity and social position. Brain Behavior and Immunity. 19(1). 69–77. 18 indexed citations
17.
Wrona, Danuta, et al.. (2001). Stress-Induced Changes in Peripheral Natural Killer Cell Cytotoxicity in Pigs May Not Depend on Plasma Cortisol. Brain Behavior and Immunity. 15(1). 54–64. 25 indexed citations
18.
Wrona, Danuta, et al.. (1994). Electrolytic lesions of the lateral hypothalamus influence peripheral blood NK cytotoxicity in rats. Journal of Neuroimmunology. 55(1). 45–54. 19 indexed citations
19.
Wrona, Danuta, et al.. (1992). Prolonged changes in lymphocyte population under repeated immobilization. I. Halothane-susceptible pigs. Animal Science Papers and Reports. 10. 35–45.
20.
Wrona, Danuta, et al.. (1992). The influence of immobilization stress on natural killer cytotoxic activity in halothane susceptible and resistant pigs. Veterinary Immunology and Immunopathology. 31(3-4). 371–376. 12 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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