Ewa Żekanowska

1.3k total citations
86 papers, 1.0k citations indexed

About

Ewa Żekanowska is a scholar working on Hematology, Genetics and Obstetrics and Gynecology. According to data from OpenAlex, Ewa Żekanowska has authored 86 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Hematology, 23 papers in Genetics and 12 papers in Obstetrics and Gynecology. Recurrent topics in Ewa Żekanowska's work include Blood Coagulation and Thrombosis Mechanisms (24 papers), Iron Metabolism and Disorders (21 papers) and Hemoglobinopathies and Related Disorders (19 papers). Ewa Żekanowska is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (24 papers), Iron Metabolism and Disorders (21 papers) and Hemoglobinopathies and Related Disorders (19 papers). Ewa Żekanowska collaborates with scholars based in Poland, Italy and Netherlands. Ewa Żekanowska's co-authors include Artur Słomka, Milena Świtońska, Mariusz Kowalewski, Miroslaw Kornek, Sabine Urban, Włądysław Sinkiewicz, Paweł Sokal, Simona Lattanzi, Inga Dziembowska and Paweł Izdebski and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Ewa Żekanowska

84 papers receiving 979 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ewa Żekanowska Poland 17 280 209 183 177 142 86 1.0k
Michael J. Nash United Kingdom 14 208 0.7× 297 1.4× 62 0.3× 250 1.4× 101 0.7× 38 1.3k
Tevfik Demir Türkiye 22 60 0.2× 318 1.5× 101 0.6× 114 0.6× 55 0.4× 98 1.4k
Christoph Bidlingmaier Germany 21 1.1k 3.9× 289 1.4× 26 0.1× 134 0.8× 72 0.5× 64 2.0k
Robin K. Ohls United States 25 546 1.9× 222 1.1× 56 0.3× 198 1.1× 1.1k 7.5× 115 2.3k
Rama Walia India 22 74 0.3× 354 1.7× 21 0.1× 334 1.9× 75 0.5× 125 1.7k
Ahmed Iqbal United Kingdom 17 121 0.4× 94 0.4× 26 0.1× 63 0.4× 55 0.4× 46 1.2k
Ronald L. Young United States 22 34 0.1× 138 0.7× 119 0.7× 187 1.1× 85 0.6× 56 2.1k
Mihaela Iancu Romania 15 87 0.3× 151 0.7× 62 0.3× 132 0.7× 62 0.4× 83 716
M. D. G. Gillmer United Kingdom 21 80 0.3× 138 0.7× 531 2.9× 69 0.4× 506 3.6× 63 1.5k

Countries citing papers authored by Ewa Żekanowska

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Żekanowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Żekanowska

This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Żekanowska. A scholar is included among the top collaborators of Ewa Żekanowska 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 Żekanowska. Ewa Żekanowska 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.
Budzyński, Jacek, et al.. (2024). Higher Preoperative Serum Neuropeptide Y Concentration May Be Associated with a Better Prognosis After Surgery for Colorectal Cancer. Nutrients. 16(22). 3825–3825. 1 indexed citations
2.
Styczyński, Jan, et al.. (2023). Soluble Hemojuvelin and Ferritin: Potential Prognostic Markers in Pediatric Hematopoietic Cell Transplantation. Cancers. 15(4). 1041–1041. 11 indexed citations
3.
Żekanowska, Ewa, et al.. (2023). Silybin, the Main Active Component of Silybum marianum, Affects Blood Coagulation: An In Vitro Pilot Study. SHILAP Revista de lepidopterología. 22–22.
4.
Słomka, Artur, Gennaro Martucci, Giuseppe Maria Raffa, et al.. (2021). Immunological and Hematological Response in COVID-19. Advances in experimental medicine and biology. 1352. 73–86. 1 indexed citations
5.
Słomka, Artur, et al.. (2019). Novel Markers for Predicting Type 2 Neurologic Complications of Coronary Artery Bypass Grafting. The Annals of Thoracic Surgery. 110(2). 599–607. 10 indexed citations
6.
Słomka, Artur, Milena Świtońska, Włądysław Sinkiewicz, & Ewa Żekanowska. (2016). Haemostatic factors do not account for worse outcomes from ischaemic stroke in patients with higher C-reactive protein concentrations. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 54(3). 378–385. 15 indexed citations
7.
Słomka, Artur, Milena Świtońska, & Ewa Żekanowska. (2015). Hepcidin Levels Are Increased in Patients with Acute Ischemic Stroke: Preliminary Report. Journal of Stroke and Cerebrovascular Diseases. 24(7). 1570–1576. 24 indexed citations
8.
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Żekanowska, Ewa, et al.. (2013). Serum prohepcidin and other iron metabolism parameters in elderly patients with anemia of chronic disease and with iron deficiency anemia. Polskie Archiwum Medycyny Wewnętrznej. 123(3). 105–111. 9 indexed citations
10.
Żekanowska, Ewa, et al.. (2013). Comparison of serum prohepcidin and iron metabolism parameters in obese and non-obese elderly individuals. Endokrynologia Polska. 64(4). 272–277. 4 indexed citations
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13.
Słomka, Artur, et al.. (2012). The use of cluster and principal component analysis in the estimation of iron status in term newborns. The Journal of Maternal-Fetal & Neonatal Medicine. 26(5). 482–486. 5 indexed citations
14.
Żekanowska, Ewa, et al.. (2010). Prohepcidin and iron metabolism parameters in the obese elderly patients with anemia. The journal of nutrition health & aging. 15(4). 259–264. 7 indexed citations
15.
Żekanowska, Ewa, et al.. (2009). Decreased serum prohepcidin concentration in patients with polycythemia vera. Journal of Zhejiang University SCIENCE B. 10(11). 791–795. 10 indexed citations
16.
Żekanowska, Ewa, et al.. (2002). Tissue factor (TF) and tissue factor pathway inhibitor (TFPI) in the placenta and myometrium. European Journal of Obstetrics & Gynecology and Reproductive Biology. 105(1). 15–19. 29 indexed citations
17.
Żekanowska, Ewa, et al.. (2001). Tissue factor (TF) and tissue factor pathway inhibitor (TFPI) in amniotic fluid and blood plasma: implications for the mechanism of amniotic fluid embolism. European Journal of Obstetrics & Gynecology and Reproductive Biology. 95(2). 163–166. 61 indexed citations
18.
Żekanowska, Ewa, et al.. (2000). Plasminogen, α2-antiplasmin and complexes of plasmin–α2-antiplasmin (PAP) in amniotic fluid and blood plasma of parturient women. European Journal of Obstetrics & Gynecology and Reproductive Biology. 93(2). 167–171. 3 indexed citations
19.
Żekanowska, Ewa, et al.. (1998). Transient Increase in Thrombin Generation during Radiotherapy of Uterine Carcinoma: A Preliminary Study using Thrombin-Antithrombin III Complex Measurements. Gynecologic and Obstetric Investigation. 46(2). 130–132. 4 indexed citations
20.
Żekanowska, Ewa, et al.. (1997). Thrombin-Antithrombin III Complexes and Antithrombin III in Amniotic Fluid. Gynecologic and Obstetric Investigation. 43(1). 29–33. 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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