Edyta Kuś

675 total citations
28 papers, 491 citations indexed

About

Edyta Kuś is a scholar working on Epidemiology, Molecular Biology and Biophysics. According to data from OpenAlex, Edyta Kuś has authored 28 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Molecular Biology and 8 papers in Biophysics. Recurrent topics in Edyta Kuś's work include Liver Disease Diagnosis and Treatment (11 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers) and Liver physiology and pathology (5 papers). Edyta Kuś is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers) and Liver physiology and pathology (5 papers). Edyta Kuś collaborates with scholars based in Poland, Australia and United Kingdom. Edyta Kuś's co-authors include Stefan Chłopicki, Bartłomiej Zapotoczny, Marek Szymoński, Karolina Szafranska, Małgorzata Barańśka, Filip Braet, Eddie Wisse, Ewelina Szafraniec, Agnieszka Jasztal and Jerzy Kotlinowski and has published in prestigious journals such as Hepatology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Edyta Kuś

28 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edyta Kuś Poland 14 154 131 121 113 68 28 491
Edyta Maślak Poland 17 185 1.2× 189 1.4× 72 0.6× 270 2.4× 102 1.5× 25 667
Yuki Morimoto Japan 12 113 0.7× 230 1.8× 61 0.5× 22 0.2× 112 1.6× 24 506
I S Goldman United States 6 52 0.3× 126 1.0× 39 0.3× 169 1.5× 28 0.4× 7 449
Michael Slama United States 13 64 0.4× 112 0.9× 17 0.1× 32 0.3× 82 1.2× 18 746
Hongyan Li China 15 84 0.5× 223 1.7× 100 0.8× 4 0.0× 122 1.8× 28 640
Edward R. Abril United States 13 152 1.0× 137 1.0× 190 1.6× 9 0.1× 34 0.5× 16 616
Amanda Garrido United States 9 99 0.6× 219 1.7× 49 0.4× 4 0.0× 71 1.0× 11 524
Takeo Yamaguchi Japan 15 81 0.5× 213 1.6× 74 0.6× 24 0.2× 192 2.8× 61 587
Sankha S. Basu United States 18 61 0.4× 457 3.5× 7 0.1× 16 0.1× 75 1.1× 34 769
Frans Marx Netherlands 16 69 0.4× 187 1.4× 80 0.7× 5 0.0× 71 1.0× 43 552

Countries citing papers authored by Edyta Kuś

Since Specialization
Citations

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

Fields of papers citing papers by Edyta Kuś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edyta Kuś

This figure shows the co-authorship network connecting the top 25 collaborators of Edyta Kuś. A scholar is included among the top collaborators of Edyta Kuś 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 Edyta Kuś. Edyta Kuś 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.
Żurawek, Dariusz, Piotr Major, Krzysztof Szade, et al.. (2025). Diosmetin alleviates TNFα-induced liver inflammation by improving liver sinusoidal endothelial cell dysfunction. Biomedicine & Pharmacotherapy. 183. 117843–117843. 3 indexed citations
2.
Kaczara, Patrycja, Edyta Kuś, Anna Kurpińska, et al.. (2024). Liver sinusoidal endothelial cells rely on oxidative phosphorylation but avoid processing long-chain fatty acids in their mitochondria. Cellular & Molecular Biology Letters. 29(1). 67–67. 7 indexed citations
3.
4.
Kostogrys, Renata B., Magdalena Franczyk‐Żarów, Edyta Kuś, & Kinga Topolska. (2022). LCHP Diet Enriched with Cholesterol Promotes Non-Alcoholic Fatty Liver Disease in Wistar Rats. Applied Sciences. 12(16). 8266–8266. 1 indexed citations
5.
Żurawek, Dariusz, Joanna Kozieł, Edyta Kuś, et al.. (2021). Role of Mcpip1 in obesity‐induced hepatic steatosis as determined by myeloid and liver‐specific conditional knockouts. FEBS Journal. 288(22). 6563–6580. 6 indexed citations
6.
Meyer, Tobias, Edyta Kuś, Stefan Chłopicki, et al.. (2020). Differential response of liver sinusoidal endothelial cells and hepatocytes to oleic and palmitic acid revealed by Raman and CARS imaging. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(6). 165763–165763. 15 indexed citations
7.
Zapotoczny, Bartłomiej, Filip Braet, Edyta Kuś, et al.. (2019). Actin‐spectrin scaffold supports open fenestrae in liver sinusoidal endothelial cells. Traffic. 20(12). 932–942. 37 indexed citations
8.
Franczyk‐Żarów, Magdalena, Edyta Kuś, & Renata B. Kostogrys. (2019). Effect of conjugated linoleic acid and different type of dietary fat on serum lipid profile, liver enzymes activity and oxidative stress markers in Wistar rats. Roczniki Państwowego Zakładu Higieny. 70(1). 27–33. 4 indexed citations
9.
Kuś, Edyta, Patrycja Kaczara, Karolina Szafranska, et al.. (2019). LSEC Fenestrae Are Preserved Despite Pro-inflammatory Phenotype of Liver Sinusoidal Endothelial Cells in Mice on High Fat Diet. Frontiers in Physiology. 10. 6–6. 47 indexed citations
10.
Szafraniec, Ewelina, et al.. (2019). Vibrational spectroscopy-based quantification of liver steatosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(11). 165526–165526. 10 indexed citations
11.
Zapotoczny, Bartłomiej, Karolina Szafranska, Edyta Kuś, et al.. (2018). Tracking Fenestrae Dynamics in Live Murine Liver Sinusoidal Endothelial Cells. Hepatology. 69(2). 876–888. 49 indexed citations
12.
13.
Pacia, Marta Z., et al.. (2018). Rapid diagnostics of liver steatosis by Raman spectroscopyviafiber optic probe: a pilot study. The Analyst. 143(19). 4723–4731. 22 indexed citations
14.
Zapotoczny, Bartłomiej, Karolina Szafranska, Edyta Kuś, Stefan Chłopicki, & Marek Szymoński. (2017). Quantification of fenestrations in liver sinusoidal endothelial cells by atomic force microscopy. Micron. 101. 48–53. 27 indexed citations
15.
16.
Zapotoczny, Bartłomiej, et al.. (2017). Atomic Force Microscopy Reveals the Dynamic Morphology of Fenestrations in Live Liver Sinusoidal Endothelial Cells. Scientific Reports. 7(1). 7994–7994. 37 indexed citations
17.
Kuś, Kamil, Edyta Kuś, Agnieszka Zakrzewska, et al.. (2017). Differential effects of liver steatosis on pharmacokinetic profile of two closely related hepatoselective NO-donors; V-PYRRO/NO and V-PROLI/NO. Pharmacological Reports. 69(3). 560–565. 3 indexed citations
18.
Zapotoczny, Bartłomiej, et al.. (2017). Morphology and force probing of primary murine liver sinusoidal endothelial cells. Journal of Molecular Recognition. 30(7). 12 indexed citations
19.
Kostogrys, Renata B., Magdalena Franczyk‐Żarów, Marlena Gąsior‐Głogowska, et al.. (2016). Anti-atherosclerotic effects of pravastatin in brachiocephalic artery in comparison with en face aorta and aortic roots in ApoE/LDLR−/− mice. Pharmacological Reports. 69(1). 112–118. 9 indexed citations
20.
Kochan, Kamila, et al.. (2016). Label-free spectroscopic characterization of live liver sinusoidal endothelial cells (LSECs) isolated from the murine liver. The Analyst. 142(8). 1308–1319. 16 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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