Ewa Wywiał

14 total papers · 446 total citations
12 papers, 247 citations indexed

About

Ewa Wywiał is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Ewa Wywiał has authored 12 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Surgery. Recurrent topics in Ewa Wywiał's work include Microbial Metabolites in Food Biotechnology (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Ewa Wywiał is often cited by papers focused on Microbial Metabolites in Food Biotechnology (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Ewa Wywiał collaborates with scholars based in Poland, United States and Belgium. Ewa Wywiał's co-authors include Shaneen Singh, Elżbieta Katarzyna Jagusztyn-Krynicka, Janusz M. Bujnicki, Paula Roszczenko, Jean‐François Collet, Emmanuel F. Mongodin, Steven E. Schutzer, Kelly M. Grimes, Benjamin J. Luft and Merry L. Lindsey and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Ewa Wywiał

11 papers receiving 245 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 Wywiał 130 41 39 37 34 12 247
Rania S. Milleron 108 0.8× 49 1.2× 27 0.7× 27 0.7× 26 0.8× 8 320
Jennifer F. Pinello 144 1.1× 44 1.1× 20 0.5× 32 0.9× 51 1.5× 8 259
Kate Lee 89 0.7× 92 2.2× 30 0.8× 12 0.3× 45 1.3× 14 297
Lauren P. Saunders 169 1.3× 17 0.4× 34 0.9× 62 1.7× 38 1.1× 16 312
Yulan Yang 81 0.6× 41 1.0× 75 1.9× 17 0.5× 66 1.9× 6 252
Jiumeng Min 56 0.4× 47 1.1× 75 1.9× 16 0.4× 22 0.6× 8 205
Christen M. Klinger 189 1.5× 23 0.6× 59 1.5× 56 1.5× 34 1.0× 9 332
S. Kumar 155 1.2× 40 1.0× 21 0.5× 15 0.4× 108 3.2× 12 292
Joseph Sall 141 1.1× 11 0.3× 28 0.7× 13 0.4× 21 0.6× 16 211
Erwan Atcheson 119 0.9× 11 0.3× 64 1.6× 20 0.5× 18 0.5× 19 326

Countries citing papers authored by Ewa Wywiał

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Wywiał

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Wywiał

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