Е. В. Дейнеко

150 total papers · 1.1k total citations
104 papers, 799 citations indexed

About

Е. В. Дейнеко is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Е. В. Дейнеко has authored 104 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 73 papers in Plant Science and 42 papers in Biotechnology. Recurrent topics in Е. В. Дейнеко's work include Plant tissue culture and regeneration (60 papers), Transgenic Plants and Applications (42 papers) and Plant Genetic and Mutation Studies (25 papers). Е. В. Дейнеко is often cited by papers focused on Plant tissue culture and regeneration (60 papers), Transgenic Plants and Applications (42 papers) and Plant Genetic and Mutation Studies (25 papers). Е. В. Дейнеко collaborates with scholars based in Russia, Germany and Japan. Е. В. Дейнеко's co-authors include Sergey Mursalimov, С. М. Розов, V. K. Shumny, Е. А. Уварова, Dmitri Demidov, Igor V. Deyneko, Andreas Houben, Alexander Kel, Siegfried Weiß and Edgar Wingender and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Е. В. Дейнеко

93 papers receiving 771 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. В. Дейнеко 619 525 191 64 60 104 799
L. G. Burk 644 1.0× 644 1.2× 134 0.7× 53 0.8× 48 0.8× 51 879
Kazuhiro Iiyama 449 0.7× 388 0.7× 92 0.5× 27 0.4× 101 1.7× 84 905
Brian Fristensky 644 1.0× 623 1.2× 89 0.5× 28 0.4× 93 1.6× 40 1.1k
A. J. E. Bettany 742 1.2× 317 0.6× 128 0.7× 90 1.4× 83 1.4× 27 907
Michele Bellucci 585 0.9× 450 0.9× 268 1.4× 113 1.8× 28 0.5× 53 937
Nông Văn Hải 514 0.8× 376 0.7× 143 0.7× 26 0.4× 144 2.4× 78 966
Sushama M. Gaikwad 544 0.9× 188 0.4× 130 0.7× 50 0.8× 99 1.6× 69 965
Gerard Rouwendal 730 1.2× 445 0.8× 301 1.6× 51 0.8× 76 1.3× 31 1.0k
Sakae Suzuki 613 1.0× 406 0.8× 103 0.5× 48 0.8× 106 1.8× 57 1.0k
Francesca De Marchis 452 0.7× 329 0.6× 235 1.2× 25 0.4× 23 0.4× 43 728

Countries citing papers authored by Е. В. Дейнеко

Since Specialization
Citations

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

Fields of papers citing papers by Е. В. Дейнеко

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Е. В. Дейнеко

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