Вл. В. Кузнецов

2.5k total citations
127 papers, 1.8k citations indexed

About

Вл. В. Кузнецов is a scholar working on Plant Science, Molecular Biology and Physiology. According to data from OpenAlex, Вл. В. Кузнецов has authored 127 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Plant Science, 60 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Вл. В. Кузнецов's work include Plant Stress Responses and Tolerance (64 papers), Photosynthetic Processes and Mechanisms (38 papers) and Light effects on plants (22 papers). Вл. В. Кузнецов is often cited by papers focused on Plant Stress Responses and Tolerance (64 papers), Photosynthetic Processes and Mechanisms (38 papers) and Light effects on plants (22 papers). Вл. В. Кузнецов collaborates with scholars based in Russia, Belarus and Ukraine. Вл. В. Кузнецов's co-authors include N. I. Shevyakova, В. П. Холодова, N. L. Radyukina, Yu. V. Ivanov, Vladimir D. Kreslavski, Suleyman I. Allakhverdiev, Л. А. Стеценко, Dmitry A. Los, V. Yu. Rakitin and Alexander V. Kartashov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Biotechnology and Photosynthesis Research.

In The Last Decade

Вл. В. Кузнецов

121 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Вл. В. Кузнецов Russia 23 1.5k 588 151 132 110 127 1.8k
Lijin Lin China 23 1.5k 1.0× 508 0.9× 187 1.2× 133 1.0× 73 0.7× 127 1.9k
Taufika Islam Anee Bangladesh 11 2.2k 1.5× 537 0.9× 203 1.3× 136 1.0× 87 0.8× 20 2.6k
Saqib Bilal South Korea 26 2.1k 1.4× 562 1.0× 167 1.1× 82 0.6× 176 1.6× 72 2.6k
Iskren Sergiev Bulgaria 14 2.0k 1.4× 542 0.9× 187 1.2× 71 0.5× 141 1.3× 63 2.4k
Andréia Caverzan Brazil 17 1.7k 1.1× 622 1.1× 126 0.8× 106 0.8× 67 0.6× 36 2.0k
Xiulan Lv China 25 1.6k 1.1× 532 0.9× 197 1.3× 156 1.2× 59 0.5× 108 2.0k
E. Karanov Bulgaria 16 2.2k 1.5× 701 1.2× 197 1.3× 100 0.8× 150 1.4× 52 2.6k
Muhammad Imran South Korea 30 2.3k 1.5× 468 0.8× 204 1.4× 59 0.4× 115 1.0× 89 2.7k
Mehar Fatma India 26 2.5k 1.7× 646 1.1× 160 1.1× 79 0.6× 82 0.7× 43 2.8k
C. Sudhakar India 27 2.4k 1.7× 674 1.1× 241 1.6× 59 0.4× 129 1.2× 83 2.8k

Countries citing papers authored by Вл. В. Кузнецов

Since Specialization
Citations

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

Fields of papers citing papers by Вл. В. Кузнецов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Вл. В. Кузнецов

This figure shows the co-authorship network connecting the top 25 collaborators of Вл. В. Кузнецов. A scholar is included among the top collaborators of Вл. В. Кузнецов 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 Вл. В. Кузнецов. Вл. В. Кузнецов 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
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Pashkovskiy, Pavel, Vladimir D. Kreslavski, Alexandra Khudyakova, et al.. (2022). Influence of phytochromes on microRNA expression, phenotype, and photosynthetic activity in A. thaliana phy mutants under light with different spectral composition. Photosynthetica. 61(SPECIAL ISSUE 2023/1). 138–147. 8 indexed citations
3.
Getman, Irina A., et al.. (2021). GRUSP, an Universal Stress Protein, Is Involved in Gibberellin-dependent Induction of Flowering in Arabidopsis thaliana. Doklady Biochemistry and Biophysics. 499(1). 233–237. 3 indexed citations
4.
Kudryakova, N. V., et al.. (2021). Ontogenetic, Light, and Circadian Regulation of PAP Protein Genes during Seed Germination of Arabidopsis thaliana. Doklady Biochemistry and Biophysics. 500(1). 312–316. 1 indexed citations
5.
Pashkovskiy, Pavel, Sergei Ryazansky, Alexander V. Kartashov, et al.. (2020). Effect of red light on photosynthetic acclimation and the gene expression of certain light signalling components involved in the microRNA biogenesis in the extremophile Eutrema salsugineum. Journal of Biotechnology. 325. 35–42. 8 indexed citations
6.
Шугаев, А. Г., et al.. (2019). Melatonin Inhibits Peroxide Production in Plant Mitochondria. Doklady Biochemistry and Biophysics. 489(1). 367–369. 8 indexed citations
7.
Kudryakova, N. V., et al.. (2018). Phytohormones Regulate the Expression of Nuclear Genes Encoding the Components of the Plastid Transcription Apparatus. Doklady Biochemistry and Biophysics. 478(1). 25–29. 7 indexed citations
8.
Getman, Irina A., et al.. (2018). The Gene Encoding the Universal Stress Protein AtUSP is Regulated by Phytohormones and Involved in Seed Germination of Arabidopsis thaliana. Doklady Biochemistry and Biophysics. 479(1). 105–107. 15 indexed citations
9.
Ефимова, М. В., et al.. (2018). The Priming of Potato Plants Induced by Brassinosteroids Reduces Oxidative Stress and Increases Salt Tolerance. Doklady Biological Sciences. 478(1). 33–36. 41 indexed citations
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Кочкин, Д. В., et al.. (2017). Occurrence of 14-hydroxylated taxoids in the plant in vitro cell cultures of different yew species (Taxus spp.). Doklady Biochemistry and Biophysics. 476(1). 337–339. 10 indexed citations
12.
Pojidaeva, Elena S., et al.. (2011). Salicylic acid differently regulates the transcription intensity of the mitochondrial genes of Lupinus luteus L.. Doklady Biochemistry and Biophysics. 440(1). 207–210. 2 indexed citations
13.
Холодова, В. П., et al.. (2008). Expression of aquaporin genes in the common ice plant during induction of the water-saving mechanism of CAM photosynthesis under salt stress conditions. Doklady Biological Sciences. 418(1). 30–33. 2 indexed citations
14.
Холодова, В. П., et al.. (2008). Heavy metals differentially regulate the transcription of plastid genes and block mRNA splicing. Doklady Biological Sciences. 423(1). 395–399. 1 indexed citations
15.
Shevyakova, N. I., et al.. (2005). Cadaverine-Induced Induction of Superoxide Dismutase Gene Expression in Mesembryanthemum crystallinum L.. Doklady Biological Sciences. 403(1-6). 257–259. 30 indexed citations
16.
Холодова, В. П., et al.. (2003). Selenium Regulates the Water Status of Plants Exposed to Drought. Doklady Biological Sciences. 390(1-6). 266–268. 115 indexed citations
17.
Кузнецов, Вл. В., et al.. (2000). Stress-induced CAM development and the limit of adaptation potential in Mesembryanthemum crystallinum plants under extreme conditions.. Russian Journal of Plant Physiology. 47(2). 168–175. 11 indexed citations
18.
Холодова, В. П., et al.. (1997). Light-dark fluctuations of proline levels in Mesembryanthemum crystallinum L. plants under salt stress. 34. 1 indexed citations
19.
Кузнецов, Вл. В., et al.. (1990). Effect of cytokinin and abscisic acid on the activity of ribulose bisphosphate carboxylase in etiolated maize seedlings.. 37(5). 732–738. 1 indexed citations
20.
Кузнецов, Вл. В., et al.. (1990). Hormonal regulation of chloroplast gene expression in etiolated wheat seedlings.. 33–35. 1 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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