S. Yu. Shchyogolev

685 total citations
52 papers, 488 citations indexed

About

S. Yu. Shchyogolev is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, S. Yu. Shchyogolev has authored 52 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Plant Science and 9 papers in Biomedical Engineering. Recurrent topics in S. Yu. Shchyogolev's work include Plant-Microbe Interactions and Immunity (9 papers), Plant tissue culture and regeneration (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). S. Yu. Shchyogolev is often cited by papers focused on Plant-Microbe Interactions and Immunity (9 papers), Plant tissue culture and regeneration (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). S. Yu. Shchyogolev collaborates with scholars based in Russia and China. S. Yu. Shchyogolev's co-authors include L. Yu. Matora, Л. А. Дыкман, Gennady L. Burygin, С. А. Староверов, Nina V. Evseeva, В. А. Богатырев, Nikolai G. Khlebtsov, Lev A. Dykman, О. В. Игнатов and Yu. V. Venzhik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytica Chimica Acta and Biomacromolecules.

In The Last Decade

S. Yu. Shchyogolev

52 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Yu. Shchyogolev Russia 14 170 157 77 59 49 52 488
Rita Melo Portugal 16 233 1.4× 94 0.6× 64 0.8× 51 0.9× 17 0.3× 47 854
Mayra Cuéllar‐Cruz Mexico 18 265 1.6× 163 1.0× 62 0.8× 110 1.9× 19 0.4× 61 925
Yanfei Wu China 13 369 2.2× 304 1.9× 36 0.5× 26 0.4× 64 1.3× 31 758
Subhasish Chatterjee United States 17 312 1.8× 367 2.3× 62 0.8× 67 1.1× 46 0.9× 30 874
H. Anzai Japan 16 179 1.1× 81 0.5× 44 0.6× 35 0.6× 48 1.0× 59 667
Teja Širec Italy 12 170 1.0× 46 0.3× 79 1.0× 30 0.5× 132 2.7× 15 395
П. Г. Свешников Russia 12 297 1.7× 86 0.5× 214 2.8× 79 1.3× 8 0.2× 56 516
Dirk Rothenstein Germany 16 213 1.3× 280 1.8× 152 2.0× 155 2.6× 125 2.6× 29 739
Qiong Chen China 18 344 2.0× 69 0.4× 35 0.5× 116 2.0× 60 1.2× 46 957
Sumei Ling China 19 524 3.1× 160 1.0× 241 3.1× 55 0.9× 60 1.2× 36 910

Countries citing papers authored by S. Yu. Shchyogolev

Since Specialization
Citations

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

Fields of papers citing papers by S. Yu. Shchyogolev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Yu. Shchyogolev. 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 S. Yu. Shchyogolev. The network helps show where S. Yu. Shchyogolev may publish in the future.

Co-authorship network of co-authors of S. Yu. Shchyogolev

This figure shows the co-authorship network connecting the top 25 collaborators of S. Yu. Shchyogolev. A scholar is included among the top collaborators of S. Yu. Shchyogolev 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 S. Yu. Shchyogolev. S. Yu. Shchyogolev 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.
Burygin, Gennady L., et al.. (2022). Improving the efficacy of potato clonal micropropagation by inoculation with the rhizosphere bacteria <i>Azospirillum baldaniorum</i> Sp245 and <i>Ochrobactrum cytisi</i> IPA7.2. Vavilov Journal of Genetics and Breeding. 26(5). 422–430. 4 indexed citations
2.
Muratova, A. Yu., et al.. (2021). Mycolicibacterium sp. strain PAM1, an alfalfa rhizosphere dweller, catabolizes PAHs and promotes partner-plant growth. Microbiological Research. 253. 126885–126885. 28 indexed citations
3.
Evseeva, Nina V., et al.. (2019). Functioning of plant-bacterial associations under osmotic stress in vitro. World Journal of Microbiology and Biotechnology. 35(12). 195–195. 9 indexed citations
4.
Evseeva, Nina V., et al.. (2017). Effect of bacterial lipopolysaccharides on morphogenetic activity in wheat somatic calluses. World Journal of Microbiology and Biotechnology. 34(1). 3–3. 11 indexed citations
5.
Burygin, Gennady L., et al.. (2017). A BACTERIAL ISOLATE FROM THE RHIZOSPHERE OF POTATO (Solanum tuberosum L.) IDENTIFIED AS Ochrobactrum lupini IPA7.2. Sel skokhozyaistvennaya Biologiya. 52(1). 105–115. 6 indexed citations
7.
Богатырев, В. А., et al.. (2016). Synthesis and study on activity in vitro of the high purity human butyrylcholinesterase conjugated with gold nanoparticles. Doklady Biochemistry and Biophysics. 468(1). 232–234. 3 indexed citations
8.
Дыкман, Л. А., et al.. (2015). Use of a synthetic foot-and-mouth disease virus peptide conjugated to gold nanoparticles for enhancing immunological response. Gold bulletin. 48(1-2). 93–101. 21 indexed citations
9.
Burygin, Gennady L., et al.. (2012). Identification of an O-linked repetitive glycan chain of the polar flagellum flagellin of Azospirillum brasilense Sp7. Carbohydrate Research. 361. 127–132. 22 indexed citations
10.
Староверов, С. А., et al.. (2009). Effect of gold nanoparticles on the respiratory activity of peritoneal macrophages. Gold bulletin. 42(2). 153–156. 36 indexed citations
11.
Shipovskaya, A. B., et al.. (2009). Optical activity of the anisotropic phases of cellulose acetates. Journal of Polymer Science Part B Polymer Physics. 47(16). 1605–1615. 7 indexed citations
12.
Matora, L. Yu., Gennady L. Burygin, & S. Yu. Shchyogolev. (2008). Study of immunochemical heterogeneity of Azospirillum brasilense lipopolysaccharides. Microbiology. 77(2). 166–170. 13 indexed citations
13.
Староверов, С. А., et al.. (2008). Preparation of polyclonal antibodies to diminazene and its detection in animal blood plasma. International Immunopharmacology. 8(10). 1418–1422. 4 indexed citations
14.
Староверов, С. А., et al.. (2006). The Effectivity Analysis of Accumulation of Liposomal, Micellar, and Water-Soluble Forms of Diminazene in Cells and in Organs. Drug Delivery. 13(5). 351–355. 4 indexed citations
15.
Игнатов, О. В., et al.. (2002). Effect ofp-nitrophenol metabolites on microbial cell electro-optical characteristics. FEMS Microbiology Letters. 214(1). 81–86. 17 indexed citations
16.
Sumaroka, Marina, et al.. (2000). Use of the Dot-Blot Immunogold Assay to Identify a Proliferative Antigen in the Initial Cells of a Wheat Stem Meristem. Journal of Immunoassay. 21(4). 401–410. 6 indexed citations
17.
Игнатов, О. В., et al.. (1999). Comparison of the electrooptical properties and specific respiratory activity ofAcinetobacter calcoaceticumA-122. FEMS Microbiology Letters. 173(2). 453–457. 4 indexed citations
18.
Игнатов, О. В., et al.. (1997). Electro-optical properties of microbial cells as affected by acrylamide metabolism. Analytica Chimica Acta. 347(1-2). 241–247. 13 indexed citations
19.
Khlebtsov, Nikolai G., et al.. (1978). Allowance for nonspherical particles in determining the parameters of disperse systems by the turbidity spectrum method. 6. Reciprocal problems for oblate particles. Stability of the method. Optics and Spectroscopy. 45. 654. 1 indexed citations
20.
Shchyogolev, S. Yu., et al.. (1973). Spectroturbidimetric titration of polymer solutions. Journal of Polymer Science Polymer Symposia. 42(2). 965–972. 3 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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