V. S. Koval

467 total citations
50 papers, 313 citations indexed

About

V. S. Koval is a scholar working on Plant Science, Molecular Biology and Organic Chemistry. According to data from OpenAlex, V. S. Koval has authored 50 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 19 papers in Molecular Biology and 10 papers in Organic Chemistry. Recurrent topics in V. S. Koval's work include Cancer Research and Treatments (10 papers), Garlic and Onion Studies (8 papers) and Biopolymer Synthesis and Applications (5 papers). V. S. Koval is often cited by papers focused on Cancer Research and Treatments (10 papers), Garlic and Onion Studies (8 papers) and Biopolymer Synthesis and Applications (5 papers). V. S. Koval collaborates with scholars based in Russia, Japan and Germany. V. S. Koval's co-authors include Svetlana V. Revtovich, Elena A. Morozova, Vitalia V. Kulikova, Tatyana V. Demidkina, Natalya V. Anufrieva, С. Е. Титов, А. В. Кочетов, V. K. Shumny, Д. А. Афонников and Kushch Aa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

V. S. Koval

44 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. S. Koval Russia	11	151	141	76	46	32	50	313
Cláudia M. Vicente Spain	13	308 2.0×	147 1.0×	73 1.0×	75 1.6×	12 0.4×	21	483
Dominik A. Herbst United States	10	368 2.4×	88 0.6×	73 1.0×	53 1.2×	15 0.5×	11	508
Matthew F. Allan United States	9	278 1.8×	188 1.3×	36 0.5×	45 1.0×	8 0.3×	10	544
Adam G. Newman United States	8	182 1.2×	81 0.6×	67 0.9×	46 1.0×	4 0.1×	11	381
K.N. Rao India	9	208 1.4×	46 0.3×	47 0.6×	47 1.0×	8 0.3×	13	304
Werner Aretz Germany	13	292 1.9×	58 0.4×	76 1.0×	68 1.5×	12 0.4×	18	431
Marie Kodedová Czechia	9	203 1.3×	62 0.4×	16 0.2×	36 0.8×	15 0.5×	16	329
E. Murphy United States	10	207 1.4×	73 0.5×	24 0.3×	29 0.6×	17 0.5×	13	335
Lars Robbel Germany	8	350 2.3×	31 0.2×	89 1.2×	53 1.2×	13 0.4×	11	507
Dominique Fink Germany	9	316 2.1×	72 0.5×	38 0.5×	44 1.0×	27 0.8×	9	471

Countries citing papers authored by V. S. Koval

Since Specialization

Citations

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

Fields of papers citing papers by V. S. Koval

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. S. Koval

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

All Works

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20 of 20 papers shown

Генаев, М. А., et al.. (2024). A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example. Vavilov Journal of Genetics and Breeding. 28(4). 443–455.

Генаев, М. А., et al.. (2023). Determination of the melanin and anthocyanin content in barley grains by digital image analysis using machine learning methods. Vavilov Journal of Genetics and Breeding. 27(7). 859–868. 3 indexed citations

Kulikova, Vitalia V., Elena A. Morozova, V. S. Koval, et al.. (2023). Thiosulfinates: Cytotoxic and Antitumor Activity. Biochemistry (Moscow). 88(7). 912–923. 2 indexed citations

Revtovich, Svetlana V., Yaroslav V. Tkachev, Vitalia V. Kulikova, et al.. (2023). Anticandidal Activity of In Situ Methionine γ-Lyase-Based Thiosulfinate Generation System vs. Synthetic Thiosulfinates. Pharmaceuticals. 16(12). 1695–1695. 5 indexed citations

Morozova, Elena A., Natalya V. Anufrieva, V. S. Koval, et al.. (2022). Daidzein-directed methionine γ-lyase in enzyme prodrug therapy against breast cancer. Biochimie. 201. 177–183. 10 indexed citations

Morozova, Elena A., et al.. (2022). Cytotoxic and antitumor properties of methionine γ-lyase conjugate in combination with S-alk(en)yl–L-cysteine sulfoxides. Russian Journal of Biotherapy. 21(4). 62–70. 3 indexed citations

Koval, V. S., Elena A. Morozova, Svetlana V. Revtovich, et al.. (2021). Characteristics and Stability Assessment of Therapeutic Methionine γ-lyase-Loaded Polyionic Vesicles. ACS Omega. 7(1). 959–967. 6 indexed citations

Kulikova, Vitalia V., Elena A. Morozova, Natalya V. Anufrieva, et al.. (2021). Kinetic and pharmacokinetic characteristics of therapeutic methinoninе γ-lyase encapsulated in polyion complex vesicles. Biochimie. 194. 13–18. 7 indexed citations

Morozova, Elena A., Natalya V. Anufrieva, V. S. Koval, et al.. (2021). Conjugates of methionine γ-lyase with polysialic acid: Two approaches to antitumor therapy. International Journal of Biological Macromolecules. 182. 394–401. 10 indexed citations

10.

Morozova, Elena A., Vitalia V. Kulikova, Natalya V. Anufrieva, et al.. (2019). Methionine γ-lyase in enzyme prodrug therapy: An improvement of pharmacokinetic parameters of the enzyme. International Journal of Biological Macromolecules. 140. 1277–1283. 11 indexed citations

11.

Генаев, М. А., et al.. (2018). Wheat ear recognizing algorithm for high throughput wheat phenotyping. 175–175. 1 indexed citations

12.

Генаев, М. А., et al.. (2018). SpikeDroidDB: AN INFORMATION SYSTEM FOR ANNOTATION OF MORPHOMETRIC CHARACTERISTICS OF WHEAT SPIKE. Vavilov Journal of Genetics and Breeding. 22(1). 132–140. 3 indexed citations

13.

Chernukha, M.Y., Elena A. Morozova, Svetlana V. Revtovich, et al.. (2018). Antibacterial Effect of Thiosulfinates on Multiresistant Strains of Bacteria Isolated from Patients with Cystic Fibrosis. Acta Naturae. 10(3). 77–80. 7 indexed citations

14.

Kostyuk, Svetlana V., Elizaveta S. Ershova, Elena M. Malinovskaya, et al.. (2018). Symmetric dimeric bisbenzimidazoles DBP(n) reduce methylation of RARB and PTEN while significantly increase methylation of rRNA genes in MCF-7 cancer cells. PLoS ONE. 13(1). e0189826–e0189826. 9 indexed citations

15.

Климова, Р. Р., et al.. (2017). DIMERIC BISBENZIMIDAZOLES SUPPRESS THE HERPES SIMPLEX VIRUS AND HUMAN CYTOMEGALOVIRUS INFECTIONS IN CELL СULTURES. Problems of Virology. 62(4). 162–168. 5 indexed citations

16.

Revtovich, Svetlana V., Elena A. Morozova, Vitalia V. Kulikova, et al.. (2017). Crystal structure of mutant form Cys115His of Citrobacter freundii methionine γ-lyase complexed with l -norleucine. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1865(9). 1123–1128. 5 indexed citations

17.

Gorelova, Vera, et al.. (2011). Analysis of transcriptional activity of the Arabidopsis thaliana ornithine-delta-aminotransferase gene promoter. Russian Journal of Genetics. 47(5). 625–628. 1 indexed citations

18.

Koval, V. S.. (2004). Male and Female Gametophyte Selection of Barley for Salt Tolerance. Hereditas. 132(1). 1–5. 12 indexed citations

19.

Koval, V. S., et al.. (2003). Wheat near-isogenic lines. 5 indexed citations

20.

Вавилов, В.С., et al.. (1972). RECOMBINATION RADIATION EMITTED BY ELECTRON-EXCITED CADMIUM DIPHOSPHIDE.. 6(2). 241–244. 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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