Н. А. Волкова

523 total citations
86 papers, 323 citations indexed

About

Н. А. Волкова is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Н. А. Волкова has authored 86 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 28 papers in Molecular Biology and 16 papers in Animal Science and Zoology. Recurrent topics in Н. А. Волкова's work include Animal Genetics and Reproduction (23 papers), CRISPR and Genetic Engineering (16 papers) and Animal Nutrition and Physiology (16 papers). Н. А. Волкова is often cited by papers focused on Animal Genetics and Reproduction (23 papers), CRISPR and Genetic Engineering (16 papers) and Animal Nutrition and Physiology (16 papers). Н. А. Волкова collaborates with scholars based in Russia, United Kingdom and Austria. Н. А. Волкова's co-authors include N. A. Zinovieva, Michael N Romanov, Darren K. Griffin, Oleg B. Ptitsyn, А. М. Носов, R. G. Butenko, Pavel M. Borodin, Yakov A. Tsepilov, Р. И. Жданов and Г. Брем and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and FEBS Letters.

In The Last Decade

Н. А. Волкова

68 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Н. А. Волкова Russia	9	137	112	75	52	22	86	323
Da Hye Park South Korea	10	80 0.6×	108 1.0×	78 1.0×	18 0.3×	5 0.2×	33	341
M.A. Farook India	8	28 0.2×	75 0.7×	49 0.7×	35 0.7×	40 1.8×	18	285
Michel Jacquet France	9	162 1.2×	295 2.6×	10 0.1×	25 0.5×	22 1.0×	12	380
Jinping Fu China	11	51 0.4×	146 1.3×	40 0.5×	27 0.5×	3 0.1×	23	308
Masao Kitabayashi Japan	8	101 0.7×	336 3.0×	4 0.1×	67 1.3×	33 1.5×	16	440
N. P. Balaban Russia	12	86 0.6×	266 2.4×	12 0.2×	150 2.9×	4 0.2×	59	431
Rania S. Milleron United States	6	50 0.4×	108 1.0×	10 0.1×	27 0.5×	108 4.9×	8	322
Daniel M. Santos Brazil	11	183 1.3×	237 2.1×	4 0.1×	32 0.6×	10 0.5×	16	404
Di Hu China	10	49 0.4×	188 1.7×	8 0.1×	124 2.4×	5 0.2×	18	344

Countries citing papers authored by Н. А. Волкова

Since Specialization

Citations

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

Fields of papers citing papers by Н. А. Волкова

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Н. А. Волкова. 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 Н. А. Волкова. The network helps show where Н. А. Волкова may publish in the future.

Co-authorship network of co-authors of Н. А. Волкова

This figure shows the co-authorship network connecting the top 25 collaborators of Н. А. Волкова. A scholar is included among the top collaborators of Н. А. Волкова 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 Н. А. Волкова. Н. А. Волкова 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

Волкова, Н. А., Michael N Romanov, А. А. Sermyagin, et al.. (2025). Genome-Wide Association Studies in Japanese Quails of the F2 Resource Population Elucidate Molecular Markers and Candidate Genes for Body Weight Parameters. International Journal of Molecular Sciences. 26(17). 8243–8243.

Narushin, Valeriy G., et al.. (2025). Clues and cues in a Japanese quail egg: What individual variable parameters can be used to identify the hen that laid it?. Biosystems Engineering. 250. 317–324.

Narushin, Valeriy G., et al.. (2025). Coupling Artificial Intelligence with Proper Mathematical Algorithms to Gain Deeper Insights into the Biology of Birds’ Eggs. Animals. 15(3). 292–292. 2 indexed citations

Narushin, Valeriy G., et al.. (2025). Smart and smarter: improving on a classic egg shape model. Theory in Biosciences. 144(3-4). 305–318. 1 indexed citations

Narushin, Valeriy G., Н. А. Волкова, Stefan T. Orszulik, et al.. (2024). Reimagining Archimedes: An innovative and accurate calculation of volumes and asserting another standard method for defining the surface area of quail and any avian eggs. Food and Bioproducts Processing. 147. 327–334. 6 indexed citations

Волкова, Н. А., Michael N Romanov, А. А. Sermyagin, et al.. (2024). Genome-Wide Association Study Revealed Putative SNPs and Candidate Genes Associated with Growth and Meat Traits in Japanese Quail. Genes. 15(3). 294–294. 7 indexed citations

Romanov, Michael N, Н. А. Волкова, В.И. Фисинин, et al.. (2024). Dissecting Selective Signatures and Candidate Genes in Grandparent Lines Subject to High Selection Pressure for Broiler Production and in a Local Russian Chicken Breed of Ushanka. Genes. 15(4). 524–524. 7 indexed citations

Волкова, Н. А., et al.. (2024). Genome-Wide Association Study Reveals the Genetic Architecture of Growth and Meat Production Traits in a Chicken F2 Resource Population. Genes. 15(10). 1246–1246. 4 indexed citations

Волкова, Н. А.. (2024). GENOME-WIDE ASSOCIATION STUDY OF TESTES DEVELOPMENT INDICATORS IN ROOSTERS (Gallus gallus L.). Sel skokhozyaistvennaya Biologiya. 59(4). 649–657. 3 indexed citations

10.

Волкова, Н. А., Michael N Romanov, В.И. Фисинин, et al.. (2023). Genotyping-by-Sequencing Strategy for Integrating Genomic Structure, Diversity and Performance of Various Japanese Quail (Coturnix japonica) Breeds. Animals. 13(22). 3439–3439. 4 indexed citations

11.

Волкова, Н. А., et al.. (2023). Loci Associated with Negative Heterosis for Viability and Meat Productivity in Interspecific Sheep Hybrids. Animals. 13(1). 184–184. 5 indexed citations

12.

Волкова, Н. А.. (2023). IDENTIFICATION OF SNPs AND CANDIDATE GENES ASSOCIATED WITH ABDOMINAL FAT DEPOSITION IN QUAILS (Coturnix japonica). Sel skokhozyaistvennaya Biologiya. 58(6). 1079–1087. 5 indexed citations

13.

Волкова, Н. А., et al.. (2021). Multivariate Analysis Identifies Eight Novel Loci Associated with Meat Productivity Traits in Sheep. Genes. 12(3). 367–367. 9 indexed citations

14.

Волкова, Н. А., et al.. (2020). Histological and morphometric characteristics of chicken embryos with different genotypes. Eurasian Journal of Biosciences. 14(1). 719–725. 2 indexed citations

15.

Волкова, Н. А., et al.. (2019). Interbreed variation in meiotic recombination rate and distribution in the domestic chicken <i>Gallus gallus</i>. Archives animal breeding/Archiv für Tierzucht. 62(2). 403–411. 2 indexed citations

16.

Волкова, Н. А., et al.. (2018). Characteristics of Eliciting Effects of Furostanol Glycosides on Cultured Yam Cells. Russian Journal of Plant Physiology. 65(3). 427–434. 5 indexed citations

17.

Волкова, Н. А., et al.. (2017). ISOLATION, CULTIVATION AND CHARACTERIZATION OF QUAIL PRIMORDIAL GERM CELLS. Sel skokhozyaistvennaya Biologiya. 52(2). 261–267. 2 indexed citations

18.

Волкова, Н. А., et al.. (2011). Age dynamics of spermatogenesis in cocks in connection with optimization of bioengineering manipulation time. 1 indexed citations

19.

Волкова, Н. А., et al.. (2008). Interaction of signal cascades induced by cAMP and prolactin in bovine oocyte-cumulus complexes. Cell and Tissue Biology. 2(5). 472–480. 4 indexed citations

20.

Kotelnikova, N. E., et al.. (1985). Irradiation induced degradation of wood cellulose. Cellulose Chemistry and Technology. 19(3). 251. 2 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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