Ekaterina Sukhova

1.2k total citations
54 papers, 906 citations indexed

About

Ekaterina Sukhova is a scholar working on Plant Science, Physiology and Ecology. According to data from OpenAlex, Ekaterina Sukhova has authored 54 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Plant Science, 17 papers in Physiology and 16 papers in Ecology. Recurrent topics in Ekaterina Sukhova's work include Plant and Biological Electrophysiology Studies (24 papers), Light effects on plants (22 papers) and Magnetic and Electromagnetic Effects (17 papers). Ekaterina Sukhova is often cited by papers focused on Plant and Biological Electrophysiology Studies (24 papers), Light effects on plants (22 papers) and Magnetic and Electromagnetic Effects (17 papers). Ekaterina Sukhova collaborates with scholars based in Russia, Ireland and Israel. Ekaterina Sukhova's co-authors include Vladimir Sukhov, Vladimir Vodeneev, Lyubov Yudina, Elena Akinchits, Marina Grinberg, Oksana Sherstneva, Lyubov Surova, Alexey S. Dorokhov, Ilya V. Turchin and Ekaterina Sergeeva and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Plant Science and Biochimica et Biophysica Acta (BBA) - Bioenergetics.

In The Last Decade

Ekaterina Sukhova

51 papers receiving 887 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ekaterina Sukhova Russia 18 800 236 159 145 106 54 906
Martina Špundová Czechia 16 680 0.8× 70 0.3× 32 0.2× 228 1.6× 45 0.4× 32 751
Lyubov Yudina Russia 11 332 0.4× 116 0.5× 49 0.3× 43 0.3× 34 0.3× 36 375
Ichirou Karahara Japan 19 1.1k 1.3× 80 0.3× 148 0.9× 346 2.4× 6 0.1× 61 1.3k
M. Malone United Kingdom 20 972 1.2× 25 0.1× 137 0.9× 234 1.6× 90 0.8× 29 1.1k
Luigi Gennaro Izzo Italy 14 538 0.7× 25 0.1× 85 0.5× 125 0.9× 10 0.1× 38 676
Jack L. Mullen United States 21 1.1k 1.4× 46 0.2× 127 0.8× 640 4.4× 9 0.1× 39 1.3k
Lei Ding China 21 1.2k 1.5× 93 0.4× 16 0.1× 340 2.3× 39 0.4× 42 1.5k
Ebe Merilo Estonia 24 2.0k 2.5× 43 0.2× 48 0.3× 799 5.5× 29 0.3× 36 2.3k
Ricardo Ferraz de Oliveira Brazil 17 837 1.0× 60 0.3× 21 0.1× 155 1.1× 14 0.1× 62 967
Marija Mrdaković Serbia 16 259 0.3× 52 0.2× 28 0.2× 103 0.7× 156 1.5× 70 709

Countries citing papers authored by Ekaterina Sukhova

Since Specialization
Citations

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

Fields of papers citing papers by Ekaterina Sukhova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekaterina Sukhova

This figure shows the co-authorship network connecting the top 25 collaborators of Ekaterina Sukhova. A scholar is included among the top collaborators of Ekaterina Sukhova 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 Ekaterina Sukhova. Ekaterina Sukhova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yudina, Lyubov, et al.. (2025). RGB Indices Can Be Used to Estimate NDVI, PRI, and Fv/Fm in Wheat and Pea Plants Under Soil Drought and Salinization. Plants. 14(9). 1284–1284. 4 indexed citations
7.
Sukhova, Ekaterina & Vladimir Sukhov. (2023). Electrical Signals in Systemic Adaptive Response of Higher Plants: Integration Through Separation. 5(2). 126–131. 4 indexed citations
8.
Yudina, Lyubov, et al.. (2023). Local action of moderate heating and illumination induces propagation of hyperpolarization electrical signals in wheat plants. Frontiers in Sustainable Food Systems. 6. 9 indexed citations
9.
Yudina, Lyubov, et al.. (2023). Hyperpolarization electrical signals induced by local action of moderate heating influence photosynthetic light reactions in wheat plants. Frontiers in Plant Science. 14. 1153731–1153731. 7 indexed citations
12.
Sukhova, Ekaterina, Lyubov Yudina, & Vladimir Sukhov. (2023). Changes in Activity of the Plasma Membrane H+-ATPase as a Link Between Formation of Electrical Signals and Induction of Photosynthetic Responses in Higher Plants. Biochemistry (Moscow). 88(10). 1488–1503. 7 indexed citations
14.
Sukhova, Ekaterina, Vladimir Vodeneev, & Vladimir Sukhov. (2021). Mathematical Modeling of Photosynthesis and Analysis of Plant Productivity. Biochemistry (Moscow) Supplement Series A Membrane and Cell Biology. 15(1). 52–72. 15 indexed citations
16.
Yudina, Lyubov, Ekaterina Sukhova, Oksana Sherstneva, et al.. (2020). Exogenous Abscisic Acid Can Influence Photosynthetic Processes in Peas through a Decrease in Activity of H+-ATP-ase in the Plasma Membrane. Biology. 9(10). 324–324. 21 indexed citations
17.
18.
Sukhov, Vladimir, Ekaterina Sukhova, & Vladimir Vodeneev. (2018). Long-distance electrical signals as a link between the local action of stressors and the systemic physiological responses in higher plants. Progress in Biophysics and Molecular Biology. 146. 63–84. 110 indexed citations
20.
Sukhova, Ekaterina, Elena Akinchits, & Vladimir Sukhov. (2017). Mathematical Models of Electrical Activity in Plants. The Journal of Membrane Biology. 250(5). 407–423. 57 indexed citations

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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