Beata Skibska

40 total papers · 1.3k total citations
24 papers, 1.0k citations indexed

About

Beata Skibska is a scholar working on Biochemistry, Immunology and Molecular Biology. According to data from OpenAlex, Beata Skibska has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biochemistry, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Beata Skibska's work include Biochemical Acid Research Studies (11 papers), Vitamin C and Antioxidants Research (4 papers) and Macrophage Migration Inhibitory Factor (3 papers). Beata Skibska is often cited by papers focused on Biochemical Acid Research Studies (11 papers), Vitamin C and Antioxidants Research (4 papers) and Macrophage Migration Inhibitory Factor (3 papers). Beata Skibska collaborates with scholars based in Poland. Beata Skibska's co-authors include Anna Gorąca, Paulina Kleniewska, Aleksandra Piechota-Polańczyk, Halina Huk-Kolega, Elżbieta Ciejka, Michał Kołodziejczyk, Andrzej Stańczak, Ewa Kochan, Anna Lipert and Anna Jędrzejczak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Beata Skibska

24 papers receiving 983 citations

Author Peers

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

Author Last Decade Papers Cites
Beata Skibska 412 270 186 158 140 24 1.0k
Paulina Kleniewska 331 0.8× 359 1.3× 266 1.4× 138 0.9× 160 1.1× 33 1.2k
Kotaro Kida 363 0.9× 232 0.9× 212 1.1× 91 0.6× 86 0.6× 24 982
Weijian Zhang 308 0.7× 330 1.2× 108 0.6× 91 0.6× 164 1.2× 17 839
Neal S. Gould 194 0.5× 493 1.8× 287 1.5× 192 1.2× 84 0.6× 19 1.1k
Xavier de la Rosa 320 0.8× 320 1.2× 151 0.8× 39 0.2× 338 2.4× 23 1.1k
David H. Jho 131 0.3× 224 0.8× 139 0.7× 103 0.7× 97 0.7× 23 928
Sarah Orr 263 0.6× 341 1.3× 218 1.2× 58 0.4× 120 0.9× 30 1.2k
Jens Teichert 315 0.8× 265 1.0× 131 0.7× 186 1.2× 30 0.2× 22 819
Carole Richard 280 0.7× 206 0.8× 78 0.4× 89 0.6× 31 0.2× 32 810
Henna-Kaisa Jyrkkänen 146 0.4× 763 2.8× 216 1.2× 58 0.4× 124 0.9× 22 1.2k

Countries citing papers authored by Beata Skibska

Since Specialization
Citations

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

Fields of papers citing papers by Beata Skibska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beata Skibska

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