Ewa Kwasniewicz

489 total citations
8 papers, 368 citations indexed

About

Ewa Kwasniewicz is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Ewa Kwasniewicz has authored 8 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Hematology and 2 papers in Cell Biology. Recurrent topics in Ewa Kwasniewicz's work include Blood Coagulation and Thrombosis Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Ewa Kwasniewicz is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Ewa Kwasniewicz collaborates with scholars based in Poland, Denmark and Sweden. Ewa Kwasniewicz's co-authors include Anna Lewińska, Maciej Wnuk, Jagoda Adamczyk‐Grochala, Anna Deręgowska, Tomasz Ząbek, Ewelina Semik‐Gurgul, Sophia Steigerwald, Simon Bekker‐Jensen, Fridtjof Lund‐Johansen and K. Sikorski and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Journal of Cellular Physiology.

In The Last Decade

Ewa Kwasniewicz

8 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ewa Kwasniewicz Poland	7	260	73	35	32	30	8	368
Beyza Vurusaner Italy	7	231 0.9×	83 1.1×	52 1.5×	35 1.1×	24 0.8×	8	417
Hye-Youn Kim South Korea	12	356 1.4×	170 2.3×	16 0.5×	26 0.8×	33 1.1×	20	519
Sandrine Bacot France	12	225 0.9×	28 0.4×	59 1.7×	27 0.8×	100 3.3×	24	506
Etsuko Yasugi Japan	15	363 1.4×	38 0.5×	46 1.3×	26 0.8×	17 0.6×	32	490
Yonghong Bai United States	7	393 1.5×	44 0.6×	23 0.7×	10 0.3×	25 0.8×	8	579
Yuanli Li China	12	231 0.9×	41 0.6×	28 0.8×	9 0.3×	24 0.8×	28	436
Lei Wan China	13	188 0.7×	122 1.7×	13 0.4×	33 1.0×	89 3.0×	28	496
Hye‐Yeon Kang South Korea	7	192 0.7×	28 0.4×	23 0.7×	15 0.5×	13 0.4×	9	284
Somayyeh Ghareghomi Iran	12	234 0.9×	48 0.7×	50 1.4×	20 0.6×	20 0.7×	17	436
Solveigh C. Koeberle Germany	10	288 1.1×	79 1.1×	39 1.1×	26 0.8×	6 0.2×	15	484

Countries citing papers authored by Ewa Kwasniewicz

Since Specialization

Citations

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

Fields of papers citing papers by Ewa Kwasniewicz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Kwasniewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Kwasniewicz. A scholar is included among the top collaborators of Ewa Kwasniewicz 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 Kwasniewicz. Ewa Kwasniewicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Martínez‐Val, Ana, Dorte B. Bekker‐Jensen, Sophia Steigerwald, et al.. (2021). Spatial-proteomics reveals phospho-signaling dynamics at subcellular resolution. Nature Communications. 12(1). 7113–7113. 54 indexed citations

Kwasniewicz, Ewa, Carsten Scavenius, Ewa Bielecka, et al.. (2020). Apolipoprotein E Triggers Complement Activation in Joint Synovial Fluid of Rheumatoid Arthritis Patients by Binding C1q. The Journal of Immunology. 204(10). 2779–2790. 15 indexed citations

Lewińska, Anna, et al.. (2019). Phytochemicals Rosmarinic Acid, Ampelopsin, and Amorfrutin-A Can Modulate Age-Related Phenotype of Serially Passaged Human Skin Fibroblasts in vitro. Frontiers in Genetics. 10. 81–81. 22 indexed citations

Lewińska, Anna, Jagoda Adamczyk‐Grochala, Ewa Kwasniewicz, & Maciej Wnuk. (2017). Downregulation of methyltransferase Dnmt2 results in condition‐dependent telomere shortening and senescence or apoptosis in mouse fibroblasts. Journal of Cellular Physiology. 232(12). 3714–3726. 39 indexed citations

Lewińska, Anna, Jagoda Adamczyk‐Grochala, Ewa Kwasniewicz, Anna Deręgowska, & Maciej Wnuk. (2017). Ursolic acid-mediated changes in glycolytic pathway promote cytotoxic autophagy and apoptosis in phenotypically different breast cancer cells. APOPTOSIS. 22(6). 800–815. 84 indexed citations

Lewińska, Anna, Jagoda Adamczyk‐Grochala, Ewa Kwasniewicz, et al.. (2017). Reduced levels of methyltransferase DNMT2 sensitize human fibroblasts to oxidative stress and DNA damage that is accompanied by changes in proliferation-related miRNA expression. Redox Biology. 14. 20–34. 74 indexed citations

Kwasniewicz, Ewa, Carsten Scavenius, André Struglics, et al.. (2017). Activation of Complement by Pigment Epithelium–Derived Factor in Rheumatoid Arthritis. The Journal of Immunology. 199(3). 1113–1121. 6 indexed citations

Lewińska, Anna, Jagoda Adamczyk‐Grochala, Ewa Kwasniewicz, Anna Deręgowska, & Maciej Wnuk. (2016). Diosmin-induced senescence, apoptosis and autophagy in breast cancer cells of different p53 status and ERK activity. Toxicology Letters. 265. 117–130. 74 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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