Е. А. Скиба

81 total papers · 882 total citations
62 papers, 640 citations indexed

About

Е. А. Скиба is a scholar working on Biomedical Engineering, Biomaterials and Molecular Biology. According to data from OpenAlex, Е. А. Скиба has authored 62 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Biomedical Engineering, 29 papers in Biomaterials and 22 papers in Molecular Biology. Recurrent topics in Е. А. Скиба's work include Biofuel production and bioconversion (53 papers), Advanced Cellulose Research Studies (28 papers) and Microbial Metabolic Engineering and Bioproduction (18 papers). Е. А. Скиба is often cited by papers focused on Biofuel production and bioconversion (53 papers), Advanced Cellulose Research Studies (28 papers) and Microbial Metabolic Engineering and Bioproduction (18 papers). Е. А. Скиба collaborates with scholars based in Russia, Switzerland and France. Е. А. Скиба's co-authors include В. В. Будаева, Г. В. Сакович, Evgenia K. Gladysheva, Е. В. Овчинникова, Л. А. Алешина, Yulia А. Gismatulina, Laurent Djakovitch, Борис Н. Кузнецов, Nikolay Tarabanko and Valery E. Tarabanko and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and International Journal of Molecular Sciences.

In The Last Decade

Е. А. Скиба

57 papers receiving 619 citations

Author Peers

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

Author Last Decade Papers Cites
Е. А. Скиба 418 347 135 117 108 62 640
Ville Pihlajaniemi 553 1.3× 199 0.6× 216 1.6× 178 1.5× 82 0.8× 28 780
Jānis Grāvītis 427 1.0× 208 0.6× 84 0.6× 115 1.0× 33 0.3× 54 711
Hoyong Kim 408 1.0× 186 0.5× 146 1.1× 79 0.7× 67 0.6× 44 694
Minsheng Lu 453 1.1× 146 0.4× 180 1.3× 47 0.4× 59 0.5× 31 601
Sandra Winestrand 408 1.0× 247 0.7× 148 1.1× 185 1.6× 79 0.7× 22 607
Piotr Przybysz 395 0.9× 339 1.0× 64 0.5× 67 0.6× 33 0.3× 62 747
Kazuhiko Sameshima 290 0.7× 242 0.7× 98 0.7× 299 2.6× 66 0.6× 25 648
Bixian Zhang 306 0.7× 110 0.3× 87 0.6× 216 1.8× 47 0.4× 39 633
Gary M. Scott 399 1.0× 110 0.3× 108 0.8× 150 1.3× 70 0.6× 34 606
Fernando Santos 400 1.0× 98 0.3× 125 0.9× 150 1.3× 43 0.4× 36 624

Countries citing papers authored by Е. А. Скиба

Since Specialization
Citations

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

Fields of papers citing papers by Е. А. Скиба

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е. А. Скиба. 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 Е. А. Скиба. The network helps show where Е. А. Скиба may publish in the future.

Co-authorship network of co-authors of Е. А. Скиба

This figure shows the co-authorship network connecting the top 25 collaborators of Е. А. Скиба. A scholar is included among the top collaborators of Е. А. Скиба 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 Е. А. Скиба. Е. А. Скиба 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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2026