Katarzyna Winiarska

828 total citations
34 papers, 710 citations indexed

About

Katarzyna Winiarska is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Katarzyna Winiarska has authored 34 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Clinical Biochemistry and 9 papers in Physiology. Recurrent topics in Katarzyna Winiarska's work include Advanced Glycation End Products research (8 papers), Circadian rhythm and melatonin (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Katarzyna Winiarska is often cited by papers focused on Advanced Glycation End Products research (8 papers), Circadian rhythm and melatonin (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Katarzyna Winiarska collaborates with scholars based in Poland. Katarzyna Winiarska's co-authors include Jadwiga Bryła, Dominika Malińska, Jakub Drożak, Konrad Szymañski, Tomasz Frączyk, Patryk Górniak, Aleksandra Owczarek, Michał Węgrzynowicz, Adam K. Jagielski and J. Dzik and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Archives of Biochemistry and Biophysics.

In The Last Decade

Katarzyna Winiarska

30 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katarzyna Winiarska Poland 15 192 168 153 132 110 34 710
Angela Kuhla Germany 19 246 1.3× 378 2.3× 67 0.4× 95 0.7× 40 0.4× 40 880
G. Abou-Mohamed United States 12 218 1.1× 300 1.8× 56 0.4× 74 0.6× 49 0.4× 23 873
Roberto Palacios Spain 17 274 1.4× 219 1.3× 94 0.6× 96 0.7× 32 0.3× 33 1.0k
Arivazhagan Palaniyappan India 17 306 1.6× 240 1.4× 59 0.4× 313 2.4× 36 0.3× 30 918
Mercedes Cano Spain 12 249 1.3× 131 0.8× 67 0.4× 38 0.3× 69 0.6× 33 597
Hanna Pawluk Poland 16 224 1.2× 168 1.0× 121 0.8× 80 0.6× 17 0.2× 33 883
Gennadi M. Kravtsov Hong Kong 14 266 1.4× 161 1.0× 83 0.5× 43 0.3× 52 0.5× 29 635
Yury G. Kaminsky Russia 17 295 1.5× 449 2.7× 40 0.3× 55 0.4× 58 0.5× 35 890
S. Sakamoto Japan 16 245 1.3× 399 2.4× 35 0.2× 64 0.5× 158 1.4× 28 820
Maxwell A. Ruby United States 9 246 1.3× 326 1.9× 65 0.4× 52 0.4× 70 0.6× 13 710

Countries citing papers authored by Katarzyna Winiarska

Since Specialization
Citations

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

Fields of papers citing papers by Katarzyna Winiarska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarzyna Winiarska

This figure shows the co-authorship network connecting the top 25 collaborators of Katarzyna Winiarska. A scholar is included among the top collaborators of Katarzyna Winiarska 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 Katarzyna Winiarska. Katarzyna Winiarska 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.
Kleibert, Marcin, et al.. (2024). The role of hypoxia-inducible factors 1 and 2 in the pathogenesis of diabetic kidney disease. Journal of Nephrology. 38(1). 37–47. 2 indexed citations
2.
3.
Winiarska, Katarzyna, et al.. (2022). Usefulness of Selected Peripheral Blood Counts in Predicting Death in Patients with Severe and Critical COVID-19. Journal of Clinical Medicine. 11(4). 1011–1011. 3 indexed citations
4.
Owczarek, Aleksandra, et al.. (2021). Transcription Factor ChREBP Mediates High Glucose-Evoked Increase in HIF-1α Content in Epithelial Cells of Renal Proximal Tubules. International Journal of Molecular Sciences. 22(24). 13299–13299. 13 indexed citations
5.
Owczarek, Aleksandra, et al.. (2021). Melatonin Lowers HIF-1α Content in Human Proximal Tubular Cells (HK-2) Due to Preventing Its Deacetylation by Sirtuin 1. Frontiers in Physiology. 11. 572911–572911. 11 indexed citations
6.
Winiarska, Katarzyna, et al.. (2020). HIF - czynnik transkrypcyjny na miarę Nagrody Nobla 2019. 69(2). 269–276. 1 indexed citations
7.
8.
Winiarska, Katarzyna, et al.. (2017). DHEA supplementation to dexamethasone-treated rabbits alleviates oxidative stress in kidney-cortex and attenuates albuminuria. The Journal of Steroid Biochemistry and Molecular Biology. 174. 17–26. 10 indexed citations
9.
Winiarska, Katarzyna, et al.. (2015). ERK1/2 pathway is involved in renal gluconeogenesis inhibition under conditions of lowered NADPH oxidase activity. Free Radical Biology and Medicine. 81. 13–21. 16 indexed citations
10.
Grynberg, Marcin, et al.. (2015). Newly identified protein Imi1 affects mitochondrial integrity and glutathione homeostasis inSaccharomyces cerevisiae. FEMS Yeast Research. 15(6). fov048–fov048. 6 indexed citations
11.
Winiarska, Katarzyna, et al.. (2014). NADPH oxidase inhibitor, apocynin, improves renal glutathione status in Zucker diabetic fatty rats: A comparison with melatonin. Chemico-Biological Interactions. 218. 12–19. 34 indexed citations
12.
Winiarska, Katarzyna, et al.. (2010). Inhibition of renal gluconeogenesis contributes to hypoglycaemic action of NADPH oxidase inhibitor, apocynin. Chemico-Biological Interactions. 189(1-2). 119–126. 19 indexed citations
13.
Sypecka, Joanna, Anna Sarnowska, Katarzyna Winiarska, & Krystyna Domańska‐Janik. (2009). The crucial role of the local microenvironment in fate-decision of neonatal rat NG2 progenitors. Acta Neurobiologiae Experimentalis. 69(1). 1 indexed citations
14.
Barańska, Anna, et al.. (2008). Differential action of methylselenocysteine in control and alloxan-diabetic rabbits. Chemico-Biological Interactions. 177(2). 161–171. 13 indexed citations
15.
Winiarska, Katarzyna, et al.. (2008). Hypoglycaemic, antioxidative and nephroprotective effects of taurine in alloxan diabetic rabbits. Biochimie. 91(2). 261–270. 100 indexed citations
16.
Derlacz, Rafał, et al.. (2006). Melatonin is more effective than taurine and 5‐hydroxytryptophan against hyperglycemia‐induced kidney‐cortex tubules injurya. Journal of Pineal Research. 42(2). 203–209. 18 indexed citations
17.
Drożak, Jakub, et al.. (2005). Contribution of l-3,4-dihydroxyphenylalanine metabolism to the inhibition of gluconeogenesis in rabbit kidney-cortex tubules. The International Journal of Biochemistry & Cell Biology. 37(6). 1269–1280. 8 indexed citations
18.
19.
Winiarska, Katarzyna, Jakub Drożak, Michał Węgrzynowicz, Tomasz Frączyk, & Jadwiga Bryła. (2004). Diabetes-induced changes in glucose synthesis, intracellular glutathione status and hydroxyl free radical generation in rabbit kidney-cortex tubules. Molecular and Cellular Biochemistry. 261(1). 91–98. 32 indexed citations
20.
Jagielski, Adam K., et al.. (2002). Purinergic regulation of glucose and glutamine synthesis in isolated rabbit kidney–cortex tubules. Archives of Biochemistry and Biophysics. 404(2). 186–196. 5 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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