3.3k total citations 158 papers, 2.6k citations indexed
About
Ewa Jabłońska is a scholar working on Immunology, Molecular Biology and Oncology.
According to data from OpenAlex, Ewa Jabłońska has authored 158 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Immunology, 46 papers in Molecular Biology and 29 papers in Oncology. Recurrent topics in Ewa Jabłońska's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (48 papers), Immune Response and Inflammation (33 papers) and Nitric Oxide and Endothelin Effects (18 papers). Ewa Jabłońska is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (48 papers), Immune Response and Inflammation (33 papers) and Nitric Oxide and Endothelin Effects (18 papers). Ewa Jabłońska collaborates with scholars based in Poland, United Kingdom and Germany. Ewa Jabłońska's co-authors include Wioletta Ratajczak–Wrona, Karolina Nowak, Marzena Garley, Maria Górska, J Jabłoński, Dorota M. Dabrowska, Philipp Markart, Małgorzata Wygrecka, Andreas Güenther and Dariusz Zakrzewicz and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.
In The Last Decade
Ewa Jabłońska
150 papers
receiving
2.6k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Ewa Jabłońska'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 Jabłońska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Jabłońska more than expected).
This network shows the impact of papers produced by Ewa Jabłońska. 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 Jabłońska. The network helps show where Ewa Jabłońska may publish in the future.
Co-authorship network of co-authors of Ewa Jabłońska
This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Jabłońska.
A scholar is included among the top collaborators of Ewa Jabłońska 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 Jabłońska. Ewa Jabłońska is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Garley, Marzena, Ewa Jabłońska, & Wioletta Ratajczak–Wrona. (2013). Interleukin 17 cytokines family in cancer disease.1 indexed citations
11.
Ratajczak–Wrona, Wioletta, et al.. (2013). Evaluation of serum levels of nitric oxide and its biomarkers in patients with Lyme borreliosis. Progress in Health Sciences. 3(2). 26–32.2 indexed citations
Garley, Marzena, et al.. (2010). Clinical immunology Comparison of interleukin 17 family protein expression in neutrophils of patients with oral inflammation and patients with cancer disease of the same location. Central European Journal of Immunology. 35(3).1 indexed citations
Jabłońska, Ewa, et al.. (1996). Czynnosc neutrofili krwi obwodowej [PMN] szczurow narazonych na dzialanie N-nitrozodimetyloaminy [NDMA]. Bromatologia i Chemia Toksykologiczna. 29(1). 85–89.1 indexed citations
20.
Kinalska, I, et al.. (1989). [Serum immunoglobulins and various components of complement in patients with insulin-dependent diabetes mellitus].. PubMed. 46(3). 338–41.6 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.