Arleta Kowala‐Piaskowska
- Hepatology top 5%
- Hepatitis C virus research 38
- Liver Diseases and Immunity 6
- Hepatitis Viruses Studies and Epidemiology 5
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- Liver Disease Diagnosis and Treatment 22
- Hepatitis B Virus Studies 22
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- Immune Cell Function and Interaction 6
- Immune Response and Inflammation 3
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- HIV/AIDS drug development and treatment 4
- Co-authors
- Iwona Mozer‐LisewskaWojciech SłużewskiJ ZeromskiMariusz KaczmarekMarek FiglerowiczJan SikoraMichał MichalakAnna Mania
- Cited by
- HepatologyEpidemiologyImmunology
- Journals
- Scientific Reports (1 paper)Journal of Hepatology (2 papers)Frontiers in Pharmacology (1 paper)
- Partner nations
- PolandCanadaUnited States
In The Last Decade
Arleta Kowala‐Piaskowska
53 papers receiving 373 citations
Peers
Comparison fields: 5 of 61
- Hepatology 220
- Epidemiology 203
- Immunology 109
- Virology 23
- Infectious Diseases 52
Countries citing papers authored by Arleta Kowala‐Piaskowska
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
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
The 25 scholars most cited alongside Arleta Kowala‐Piaskowska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2023 | 4 | |
| 3 | 2020 | 8 | |
| 4 | 2020 | 28 | |
| 5 | 2015 | 14 | |
| 6 | 2015 | 20 | |
| 7 | 2013 | 0 | |
| 8 | 2012 | 9 | |
| 9 | 2012 | 3 | |
| 10 | 2011 | 9 | |
| 11 | Review paper Innate and adaptive immunity in viral infections | 2011 | 1 |
| 12 | 2011 | 22 | |
| 13 | 2007 | 10 | |
| 14 | 2007 | 4 | |
| 15 | [Effects of treatment with pegylated interferon and ribavirin in children with chronic hepatitis C]. | 2005 | 4 |
| 16 | 2005 | 5 | |
| 17 | 2005 | 5 | |
| 18 | 2004 | 5 | |
| 19 | 2004 | 18 | |
| 20 | 2003 | 6 |
About Arleta Kowala‐Piaskowska
Arleta Kowala‐Piaskowska is a scholar working on Hepatology, Epidemiology and Virology, having authored 56 papers that have together received 376 indexed citations. Recurring topics across this work include Hepatitis C virus research (38 papers), Liver Disease Diagnosis and Treatment (22 papers), Hepatitis B Virus Studies (22 papers), Immune Cell Function and Interaction (6 papers), Liver Diseases and Immunity (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), HIV/AIDS drug development and treatment (4 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Hepatology (220 citations), Epidemiology (203 citations) and Immunology (109 citations). Arleta Kowala‐Piaskowska has collaborated with scholars based in Poland, Canada and United States. Frequent 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. Their work appears in journals such as Scientific Reports, Journal of Hepatology and Frontiers in Pharmacology.
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.