Arleta Kowala‐Piaskowska

499 total citations
56 papers, 376 citations indexed

About

Arleta Kowala‐Piaskowska is a scholar working on Hepatology, Epidemiology and Immunology. According to data from OpenAlex, Arleta Kowala‐Piaskowska has authored 56 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hepatology, 32 papers in Epidemiology and 11 papers in Immunology. Recurrent topics in Arleta Kowala‐Piaskowska's work include Hepatitis C virus research (38 papers), Liver Disease Diagnosis and Treatment (22 papers) and Hepatitis B Virus Studies (22 papers). Arleta Kowala‐Piaskowska is often cited by papers focused on Hepatitis C virus research (38 papers), Liver Disease Diagnosis and Treatment (22 papers) and Hepatitis B Virus Studies (22 papers). Arleta Kowala‐Piaskowska collaborates with scholars based in Poland, Canada and United States. Arleta Kowala‐Piaskowska's co-authors include Iwona Mozer‐Lisewska, Wojciech Służewski, J Zeromski, Mariusz Kaczmarek, Marek Figlerowicz, Jan Sikora, Michał Michalak, Anna Mania, Mirosław J. Szczepański and Paweł Zmora and has published in prestigious journals such as Scientific Reports, Journal of Hepatology and Frontiers in Pharmacology.

In The Last Decade

Arleta Kowala‐Piaskowska

53 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arleta Kowala‐Piaskowska Poland 12 220 203 109 52 51 56 376
Marianne Eisenhardt Germany 8 235 1.1× 203 1.0× 247 2.3× 33 0.6× 32 0.6× 11 422
Bharati Pai 7 247 1.1× 198 1.0× 81 0.7× 77 1.5× 72 1.4× 8 388
Christopher Marshall United States 8 338 1.5× 344 1.7× 261 2.4× 68 1.3× 57 1.1× 9 602
Ofer Ben‐Moshe Israel 7 184 0.8× 206 1.0× 46 0.4× 31 0.6× 43 0.8× 9 265
Huifan Ji China 11 96 0.4× 127 0.6× 121 1.1× 28 0.5× 49 1.0× 21 330
Simonetta Urbani Italy 5 276 1.3× 204 1.0× 337 3.1× 43 0.8× 49 1.0× 7 564
Shahzma Merani United States 7 99 0.5× 142 0.7× 156 1.4× 70 1.3× 64 1.3× 9 345
Karen Fitzmaurice Ireland 8 281 1.3× 190 0.9× 122 1.1× 26 0.5× 43 0.8× 13 371
Michelle Spaan Netherlands 10 250 1.1× 198 1.0× 176 1.6× 26 0.5× 15 0.3× 18 397
Amy E.L. Stone United States 8 145 0.7× 133 0.7× 222 2.0× 66 1.3× 114 2.2× 15 412

Countries citing papers authored by Arleta Kowala‐Piaskowska

Since Specialization
Citations

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

Fields of papers citing papers by Arleta Kowala‐Piaskowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arleta Kowala‐Piaskowska. 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 Arleta Kowala‐Piaskowska. The network helps show where Arleta Kowala‐Piaskowska may publish in the future.

Co-authorship network of co-authors of Arleta Kowala‐Piaskowska

This figure shows the co-authorship network connecting the top 25 collaborators of Arleta Kowala‐Piaskowska. A scholar is included among the top collaborators of Arleta Kowala‐Piaskowska 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 Arleta Kowala‐Piaskowska. Arleta Kowala‐Piaskowska 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.
Adamek, Agnieszka, et al.. (2025). FibrAIm – The machine learning approach to identify the early stage of liver fibrosis and steatosis. International Journal of Medical Informatics. 197. 105837–105837. 3 indexed citations
2.
Olewicz‐Gawlik, Anna & Arleta Kowala‐Piaskowska. (2023). Self-reactive IgE and anti-IgE therapy in autoimmune diseases. Frontiers in Pharmacology. 14. 4 indexed citations
3.
Kaczmarek, Mariusz, Krzysztof Książek, Justyna Mikuła‐Pietrasik, et al.. (2020). Impact of chronic HCV treatment on quality of life of patients with metabolic disorders in context of immunological disturbances. Scientific Reports. 10(1). 10388–10388. 8 indexed citations
4.
Zeromski, J, et al.. (2020). Pattern Recognition Receptors: Significance of Expression in the Liver. Archivum Immunologiae et Therapiae Experimentalis. 68(5). 29–29. 28 indexed citations
5.
6.
Michalak, Michał, et al.. (2015). Seroprevalence of anti-HEV IgG in 182 Polish patients. Postępy Higieny i Medycyny Doświadczalnej. 69. 320–326. 20 indexed citations
7.
Mania, Anna, Mariusz Kaczmarek, Iwona Mozer‐Lisewska, et al.. (2013). Hepatic stellate cells (HSC) cell line (LX-2) and Toll-like receptors – phenotypic/mRNA expression and <i>in vitro</i> functional studies. Central European Journal of Immunology. 38(4). 486–493.
8.
Jackowiak, Paulina, et al.. (2012). Evolution of hepatitis C virus hypervariable region 1 in chronically infected children. Virus Research. 167(2). 380–384. 9 indexed citations
9.
Kowala‐Piaskowska, Arleta, et al.. (2012). Results of antiviral treatment of patients with chronic hepatitis C: experience of Poznan centre. Postępy Higieny i Medycyny Doświadczalnej. 66. 339–347. 3 indexed citations
10.
Mozer‐Lisewska, Iwona, Arleta Kowala‐Piaskowska, Anna Mania, et al.. (2011). Expression of pattern recognition receptors in liver biopsy specimens of children chronically infected with HBV and HCV. Folia Histochemica et Cytobiologica. 49(3). 410–416. 9 indexed citations
11.
Zeromski, J, Iwona Mozer‐Lisewska, & Arleta Kowala‐Piaskowska. (2011). Review paper Innate and adaptive immunity in viral infections. Central European Journal of Immunology. 36(4). 298–302. 1 indexed citations
12.
Zeromski, J, Iwona Mozer‐Lisewska, Mariusz Kaczmarek, Arleta Kowala‐Piaskowska, & Jan Sikora. (2011). NK Cells Prevalence, Subsets and Function in Viral Hepatitis C. Archivum Immunologiae et Therapiae Experimentalis. 59(6). 449–455. 22 indexed citations
13.
Kowala‐Piaskowska, Arleta, et al.. (2007). Adverse effects during the treatment with pegylated interferon and ribavirin in children with chronic hepatitis C. Pharmacoepidemiology and Drug Safety. 16(10). 1095–1103. 10 indexed citations
14.
Kowala‐Piaskowska, Arleta, et al.. (2007). Influence of the presence of HCV-RNA in peripheral blood mononuclear cells on the clinical course of chronic hepatitis C in children. European Journal of Epidemiology. 22(5). 343–348. 4 indexed citations
15.
Kowala‐Piaskowska, Arleta, et al.. (2005). [Effects of treatment with pegylated interferon and ribavirin in children with chronic hepatitis C].. PubMed. 59(2). 491–8. 4 indexed citations
16.
Kowala‐Piaskowska, Arleta, Wojciech Służewski, Marek Figlerowicz, & Iwona Mozer‐Lisewska. (2005). Factors influencing early virological response in children with chronic hepatitis C treated with pegylated interferon and ribavirin. Hepatology Research. 32(4). 224–6. 5 indexed citations
17.
Mozer‐Lisewska, Iwona, Wojciech Służewski, Anna Mania, et al.. (2005). Histopathological evaluation of liver biopsy specimens in children with chronic hepatitis B. Hepatology Research. 34(1). 9–14. 5 indexed citations
18.
19.
Służewski, Wojciech, et al.. (2004). Interferon alpha and ribavirin in the treatment of children with chronic hepatitis C. European Journal of Pediatrics. 163(4-5). 265–267. 18 indexed citations
20.
Mozer‐Lisewska, Iwona, et al.. (2003). Virus genotype 1b and long-term response to interferon alpha monotherapy in children with chronic hepatitis C. European Journal of Pediatrics. 162(11). 755–759. 6 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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