Ewa M. Koźma

44 total papers · 599 total citations
33 papers, 481 citations indexed

About

Ewa M. Koźma is a scholar working on Cell Biology, Molecular Biology and Food Science. According to data from OpenAlex, Ewa M. Koźma has authored 33 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cell Biology, 10 papers in Molecular Biology and 6 papers in Food Science. Recurrent topics in Ewa M. Koźma's work include Proteoglycans and glycosaminoglycans research (20 papers), Glycosylation and Glycoproteins Research (9 papers) and Dupuytren's Contracture and Treatments (5 papers). Ewa M. Koźma is often cited by papers focused on Proteoglycans and glycosaminoglycans research (20 papers), Glycosylation and Glycoproteins Research (9 papers) and Dupuytren's Contracture and Treatments (5 papers). Ewa M. Koźma collaborates with scholars based in Poland. Ewa M. Koźma's co-authors include Krystyna Olczyk, Grzegorz Wisowski, Katarzyna Komosińska‐Vassev, Paweł Olczyk, Jerzy Stojko, Katarzyna Klimek, Katarzyna Winsz‐Szczotka, Rafał Bobiński, Damian Kusz and Eugeniusz J. Kucharz and has published in prestigious journals such as PLoS ONE, Molecules and Clinica Chimica Acta.

In The Last Decade

Ewa M. Koźma

31 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
Ewa M. Koźma 161 157 132 88 63 33 481
Jung Hwan Oh 34 0.2× 71 0.5× 164 1.2× 39 0.4× 21 0.3× 50 514
Fahad Hussain 21 0.1× 92 0.6× 83 0.6× 24 0.3× 35 0.6× 21 535
Silvia Caputo 32 0.2× 113 0.7× 155 1.2× 19 0.2× 38 0.6× 20 506
Sangjin Kang 26 0.2× 109 0.7× 131 1.0× 17 0.2× 43 0.7× 24 473
Andrea D’Arino 34 0.2× 176 1.1× 87 0.7× 24 0.3× 22 0.3× 25 482
Anna Virginia Adriana Pirozzi 17 0.1× 94 0.6× 93 0.7× 28 0.3× 36 0.6× 23 441
Li‐Jung Kang 40 0.2× 43 0.3× 201 1.5× 35 0.4× 6 0.1× 20 509
Gayoung Seo 17 0.1× 172 1.1× 181 1.4× 11 0.1× 57 0.9× 30 523
Tomoki Ikuta 33 0.2× 96 0.6× 120 0.9× 16 0.2× 21 0.3× 18 435
Federica Papaccio 36 0.2× 120 0.8× 120 0.9× 21 0.2× 35 0.6× 14 491

Countries citing papers authored by Ewa M. Koźma

Since Specialization
Citations

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

Fields of papers citing papers by Ewa M. Koźma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa M. Koźma

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