Ewa Kwasniewicz

11 total papers · 481 total citations
8 papers, 364 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 364 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 Epigenetics and DNA Methylation (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Ewa Kwasniewicz is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Blood Coagulation and Thrombosis Mechanisms (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 Maciej Wnuk, Anna Lewińska, Jagoda Adamczyk‐Grochala, Anna Deręgowska, Ewelina Semik‐Gurgul, Tomasz Ząbek, Suresh I. S. Rattan, Trung Tran, Sólveig Hlín Brynjólfsdóttir and Fridtjof Lund‐Johansen 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 363 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ewa Kwasniewicz	256	73	35	32	30	8	364
Leslie Sisfontes	178 0.7×	36 0.5×	43 1.2×	23 0.7×	16 0.5×	12	341
Carina Hallberg	156 0.6×	55 0.8×	37 1.1×	67 2.1×	18 0.6×	9	360
Bebiana C. Sousa	180 0.7×	42 0.6×	52 1.5×	29 0.9×	52 1.7×	17	336
Maria L.R. Lim	248 1.0×	24 0.3×	32 0.9×	35 1.1×	15 0.5×	9	373
Libo He	225 0.9×	103 1.4×	28 0.8×	33 1.0×	20 0.7×	13	388
Xi Wang	140 0.5×	37 0.5×	29 0.8×	41 1.3×	12 0.4×	12	305
Jishen Pan	252 1.0×	135 1.8×	22 0.6×	18 0.6×	67 2.2×	15	393
Marco A. Cacciuttolo	253 1.0×	61 0.8×	46 1.3×	12 0.4×	17 0.6×	8	385
Lourdes Millán-Pérez-Peña	198 0.8×	51 0.7×	27 0.8×	23 0.7×	22 0.7×	15	374
Yira Bermudez	182 0.7×	39 0.5×	71 2.0×	41 1.3×	27 0.9×	14	370

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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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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