Ewa Waszkiewicz

40 total papers · 637 total citations
30 papers, 507 citations indexed

About

Ewa Waszkiewicz is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Ewa Waszkiewicz has authored 30 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 5 papers in Clinical Biochemistry. Recurrent topics in Ewa Waszkiewicz's work include Pulmonary Hypertension Research and Treatments (4 papers), Acute Myocardial Infarction Research (4 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). Ewa Waszkiewicz is often cited by papers focused on Pulmonary Hypertension Research and Treatments (4 papers), Acute Myocardial Infarction Research (4 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). Ewa Waszkiewicz collaborates with scholars based in Poland and United States. Ewa Waszkiewicz's co-authors include Elźbieta Skrzydlewska, Włodzimierz J. Musiał, Karol Kamiński, Agnieszka Augustyniak, Bożena Sobkowicz, Małgorzata Knapp, Anna Szpakowicz, Małgorzata Jasiewicz, Katarzyna Ptaszyńska‐Kopczyńska and Sławomir Dobrzycki and has published in prestigious journals such as PLoS ONE, Clinica Chimica Acta and Nutrition.

In The Last Decade

Ewa Waszkiewicz

30 papers receiving 480 citations

Author Peers

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

Author						Papers	Cites
Ewa Waszkiewicz	169	130	89	81	62	30	507
Nehir Sucu	116 0.7×	134 1.0×	98 1.1×	93 1.1×	23 0.4×	46	537
Ya‐Ge Jin	176 1.0×	306 2.4×	45 0.5×	72 0.9×	44 0.7×	18	613
H. Strobach	145 0.9×	120 0.9×	73 0.8×	63 0.8×	86 1.4×	31	568
Bassam Omar	171 1.0×	134 1.0×	67 0.8×	138 1.7×	35 0.6×	43	581
Murat Dikmengil	65 0.4×	95 0.7×	92 1.0×	77 1.0×	32 0.5×	23	455
Fadhil G. Al-Amran	134 0.8×	131 1.0×	51 0.6×	98 1.2×	30 0.5×	34	548
Beniamino Pagliaro	190 1.1×	118 0.9×	68 0.8×	33 0.4×	28 0.5×	19	476
Mo‐Li Zhu	88 0.5×	204 1.6×	71 0.8×	37 0.5×	45 0.7×	34	550
K. Tayama	153 0.9×	88 0.7×	75 0.8×	49 0.6×	25 0.4×	27	579
Eugenia Belcastro	109 0.6×	185 1.4×	93 1.0×	34 0.4×	28 0.5×	29	594

Countries citing papers authored by Ewa Waszkiewicz

Since Specialization

Citations

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

Fields of papers citing papers by Ewa Waszkiewicz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Waszkiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Waszkiewicz. A scholar is included among the top collaborators of Ewa Waszkiewicz 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 Waszkiewicz. Ewa Waszkiewicz 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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