Ewa Laskowska

1.8k total citations
46 papers, 1.4k citations indexed

About

Ewa Laskowska is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Ewa Laskowska has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Cell Biology and 10 papers in Materials Chemistry. Recurrent topics in Ewa Laskowska's work include Heat shock proteins research (16 papers), Protein Structure and Dynamics (13 papers) and Endoplasmic Reticulum Stress and Disease (11 papers). Ewa Laskowska is often cited by papers focused on Heat shock proteins research (16 papers), Protein Structure and Dynamics (13 papers) and Endoplasmic Reticulum Stress and Disease (11 papers). Ewa Laskowska collaborates with scholars based in Poland, United Kingdom and Brazil. Ewa Laskowska's co-authors include Dorota Kuczyńska‐Wiśnik, Alina Taylor, Ewelina Matuszewska, Joanna Skórko‐Glonek, Alicja Wawrzynów, Barbara Lipińska, Beata Furmanek-Blaszk, Łukasz Jarosz, Zbigniew Grądzki and J Kwiatkowska and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Ewa Laskowska

43 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ewa Laskowska Poland 23 895 304 257 225 182 46 1.4k
Dorota Kuczyńska‐Wiśnik Poland 20 687 0.8× 240 0.8× 185 0.7× 182 0.8× 175 1.0× 32 1.1k
Michael J. Trimble Canada 15 895 1.0× 359 1.2× 86 0.3× 197 0.9× 293 1.6× 19 1.5k
Patricia Doublet France 27 1.1k 1.2× 521 1.7× 204 0.8× 529 2.4× 144 0.8× 46 1.7k
Kristian Kvint Sweden 11 980 1.1× 605 2.0× 106 0.4× 159 0.7× 59 0.3× 14 1.3k
Gudrun Koch Germany 15 1.2k 1.3× 441 1.5× 71 0.3× 187 0.8× 321 1.8× 18 1.5k
Ralf Heermann Germany 27 1.4k 1.5× 747 2.5× 209 0.8× 215 1.0× 135 0.7× 83 2.2k
Maarten Mols Netherlands 15 915 1.0× 539 1.8× 83 0.3× 189 0.8× 110 0.6× 16 1.4k
Craig Stephens United States 20 1.1k 1.3× 702 2.3× 99 0.4× 196 0.9× 153 0.8× 54 1.6k
Edson R. Rocha United States 24 1.2k 1.3× 347 1.1× 61 0.2× 152 0.7× 200 1.1× 40 1.7k
Shigeyuki Ichihara Japan 24 1.3k 1.4× 723 2.4× 270 1.1× 123 0.5× 95 0.5× 42 1.8k

Countries citing papers authored by Ewa Laskowska

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Laskowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Laskowska

This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Laskowska. A scholar is included among the top collaborators of Ewa Laskowska 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 Ewa Laskowska. Ewa Laskowska 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.
Kuczyńska‐Wiśnik, Dorota, et al.. (2025). Bacterial Adaptation to Stress Induced by Glyoxal/Methylglyoxal and Advanced Glycation End Products. Microorganisms. 13(12). 2778–2778.
2.
Kuczyńska‐Wiśnik, Dorota, et al.. (2024). Intracellular Protective Functions and Therapeutical Potential of Trehalose. Molecules. 29(9). 2088–2088. 19 indexed citations
3.
Laskowska, Ewa, et al.. (2024). Role of protein aggregates in bacteria. Advances in protein chemistry and structural biology. 145. 73–112.
4.
Kuczyńska‐Wiśnik, Dorota, et al.. (2023). New Strategies to Kill Metabolically-Dormant Cells Directly Bypassing the Need for Active Cellular Processes. Antibiotics. 12(6). 1044–1044. 18 indexed citations
5.
Dȩbski, Janusz, et al.. (2023). Protein aggregation and glycation in Escherichia coli exposed to desiccation-rehydration stress. Microbiological Research. 270. 127335–127335. 7 indexed citations
6.
Laskowska, Ewa, Łukasz Jarosz, & Zbigniew Grądzki. (2018). Effect of the EM Bokashi® Multimicrobial Probiotic Preparation on the Non-specific Immune Response in Pigs. Probiotics and Antimicrobial Proteins. 11(4). 1264–1277. 9 indexed citations
7.
Laskowska, Ewa, Dorota Kuczyńska‐Wiśnik, & Barbara Lipińska. (2018). Proteomic analysis of protein homeostasis and aggregation. Journal of Proteomics. 198. 98–112. 30 indexed citations
8.
Bruhn‐Olszewska, Bożena, et al.. (2018). Physiologically distinct subpopulations formed in Escherichia coli cultures in response to heat shock. Microbiological Research. 209. 33–42. 19 indexed citations
9.
10.
Laskowska, Ewa, Łukasz Jarosz, & Zbigniew Grądzki. (2017). The effect of feed supplementation with effective microorganisms (EM) on pro- and anti-inflammatory cytokine concentrations in pigs. Research in Veterinary Science. 115. 244–249. 19 indexed citations
11.
Jarosz, Łukasz, Małgorzata Kwiecień, Agnieszka Marek, et al.. (2016). Effects of feed supplementation with glycine chelate and iron sulfate on selected parameters of cell-mediated immune response in broiler chickens. Research in Veterinary Science. 107. 68–74. 12 indexed citations
12.
Jarosz, Łukasz, et al.. (2016). Quality of fresh and chilled-stored raccoon dog semen and its impact on artificial insemination efficiency. BMC Veterinary Research. 12(1). 224–224. 10 indexed citations
13.
Ziętkiewicz, Szymon, et al.. (2010). IbpA the small heat shock protein from Escherichia coli forms fibrils in the absence of its cochaperone IbpB. FEBS Letters. 584(11). 2253–2257. 19 indexed citations
14.
Laskowska, Ewa, Ewelina Matuszewska, & Dorota Kuczyńska‐Wiśnik. (2010). Small Heat Shock Proteins and Protein-Misfolding Diseases. Current Pharmaceutical Biotechnology. 11(2). 146–157. 66 indexed citations
15.
Kuczyńska‐Wiśnik, Dorota, et al.. (2010). Antibiotics promoting oxidative stress inhibit formation of Escherichia coli biofilm via indole signalling. Research in Microbiology. 161(10). 847–853. 39 indexed citations
16.
Gorzelańczyk, Edward Jacek, et al.. (2008). Digitalized drawing test (DDT) – the tool for an early subclinical motor symptoms diagnosis. Bio-Algorithms and Med-Systems. 4(8). 93–99. 1 indexed citations
17.
Kwiatkowska, J, Ewelina Matuszewska, Dorota Kuczyńska‐Wiśnik, & Ewa Laskowska. (2008). Aggregation of Escherichia coli proteins during stationary phase depends on glucose and oxygen availability. Research in Microbiology. 159(9-10). 651–657. 30 indexed citations
18.
Kuczyńska‐Wiśnik, Dorota, Dorota Żurawa‐Janicka, Joanna Narkiewicz, et al.. (2004). Escherichia coli small heat shock proteins IbpA/B enhance activity of enzymes sequestered in inclusion bodies.. Acta Biochimica Polonica. 51(4). 925–931. 25 indexed citations
19.
Laskowska, Ewa, Alicja Wawrzynów, & Alina Taylor. (1996). IbpA and IbpB, the new heat-shock proteins, bind to endogenous Escherichia coli proteins aggregated intracellularly by heat shock. Biochimie. 78(2). 117–122. 125 indexed citations
20.
Laskowska, Ewa, et al.. (1991). Response of Escherichia coli cell membranes to induction of λc1857 prophage by heat shock. Molecular Microbiology. 5(12). 2935–2945. 41 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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