D. Yu. Sherbakov

935 total citations
62 papers, 677 citations indexed

About

D. Yu. Sherbakov is a scholar working on Ecology, Molecular Biology and Genetics. According to data from OpenAlex, D. Yu. Sherbakov has authored 62 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Ecology, 22 papers in Molecular Biology and 16 papers in Genetics. Recurrent topics in D. Yu. Sherbakov's work include Aquatic Invertebrate Ecology and Behavior (25 papers), Genomics and Phylogenetic Studies (19 papers) and Genetic diversity and population structure (13 papers). D. Yu. Sherbakov is often cited by papers focused on Aquatic Invertebrate Ecology and Behavior (25 papers), Genomics and Phylogenetic Studies (19 papers) and Genetic diversity and population structure (13 papers). D. Yu. Sherbakov collaborates with scholars based in Russia, Belgium and United States. D. Yu. Sherbakov's co-authors include Erik Verheyen, Ravil M. Kamaltynov, Patrick Martin, T. Ya. Sitnikova, Vladimir V. Aleoshin, Maria D. Logacheva, Kirill V. Mikhailov, О. Б. Огарков, Ellinor Michel and Yelena V. Likhoshway and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

D. Yu. Sherbakov

60 papers receiving 639 citations

Peers

D. Yu. Sherbakov

ECOLO

GENET

OCEAN

EEBS

Maria Vittoria Modica Italy

Levan Mumladze Georgia

Christiane Eichner Norway

Cornelia Jaspers Denmark

Jørn Henrik Sønstebø Norway

José Cerca Norway

Bastian Bentlage United States

Cuong Q. Tang United Kingdom

Magalie Castelin France

Jörg Plötner Germany

Maria Vittoria Modica Italy

D. Yu. Sherbakov

429 ×1.0

ECOLO

220 ×1.2

169 ×1.3

GENET

396 ×4.0

OCEAN

152 ×1.7

EEBS

Citations per year, relative to D. Yu. Sherbakov D. Yu. Sherbakov (= 1×) peers Maria Vittoria Modica

Countries citing papers authored by D. Yu. Sherbakov

Since Specialization

Citations

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

Fields of papers citing papers by D. Yu. Sherbakov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Yu. Sherbakov

This figure shows the co-authorship network connecting the top 25 collaborators of D. Yu. Sherbakov. A scholar is included among the top collaborators of D. Yu. Sherbakov 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 D. Yu. Sherbakov. D. Yu. Sherbakov 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

Wang, Yuxiang, et al.. (2023). Comparison of the evolutionary patterns of DNA repeats in ancient and young invertebrate species flocks of Lake Baikal. Vavilov Journal of Genetics and Breeding. 27(4). 349–356. 1 indexed citations

Sitnikova, T. Ya., et al.. (2023). The North Asian Genus Kolhymamnicola Starobogatov and Budnikova 1976 (Gastropoda: Amnicolidae), Its Extended Diagnosis, Distribution, and Taxonomic Relationships. Diversity. 15(4). 483–483. 2 indexed citations

Sherbakov, D. Yu., et al.. (2023). A Procedure for Modeling Genetic Diversity Distortions in Populations of Organisms with Mixed Reproductive Strategies. Mathematics. 11(13). 2985–2985. 1 indexed citations

Gagarin, V. G., et al.. (2023). Species Composition and Distribution of Free-Living Nematodes (Nematoda) at the Posolskaya Banka Cold Methane Seeps, Lake Baikal. Inland Water Biology. 16(1). 87–96.

Sherbakov, D. Yu., et al.. (2023). Mitochondrial DNA Evolution Trends of Baikal Endemic Sponges. I. Mitochondrial Genome of <i>S. khanaevi</i>. Генетика. 59(2). 170–175.

Sherbakov, D. Yu., et al.. (2022). Comparative analysis of alignment-free genome clustering and whole genome alignment-based phylogenomic relationship of coronaviruses. PLoS ONE. 17(3). e0264640–e0264640. 4 indexed citations

Mikhailov, Kirill V., Sergey A. Karpov, Peter M. Letcher, et al.. (2022). Genomic analysis reveals cryptic diversity in aphelids and sheds light on the emergence of Fungi. Current Biology. 32(21). 4607–4619.e7. 15 indexed citations

Bukin, Yurij, et al.. (2021). The Mitochondrial Genome of a Freshwater Pelagic Amphipod Macrohectopus branickii Is among the Longest in Metazoa. Genes. 12(12). 2030–2030. 9 indexed citations

Sherbakov, D. Yu., et al.. (2020). Diagnosis of the mechanisms of different types of discordances between phylogenies inferred from nuclear and mitochondrial markers. Vavilov Journal of Genetics and Breeding. 24(4). 420–426. 2 indexed citations

10.

Bukin, Yu. S., et al.. (2020). The composition of the communities of green algae and microeukaryotes at the sites of Lake Baikal contrasting in anthropogenic pressure. Limnology and Freshwater Biology. 729–730. 1 indexed citations

11.

Bukin, Yurij, et al.. (2020). Bioinformatic tools for tRNA gene analyses in mitochondrial DNA sequence data. SHILAP Revista de lepidopterología. 29. 105284–105284. 1 indexed citations

12.

Ханаев, И. В., et al.. (2020). The diversity of the Baikal lineage of Hydra oligactis Pallas, 1766: molecular and morphological evidence. ZooKeys. 912. 1–12. 1 indexed citations

13.

Bukin, Yurij, et al.. (2020). Intron-based phylogeny revealed a substrate role in the origin of the gastropod species flock from Lake Baikal. Limnology and Freshwater Biology. 405–411. 2 indexed citations

14.

Bukin, Yurij, et al.. (2019). Hidden cases of tRNA gene duplication and remolding in mitochondrial genomes of amphipods. Molecular Phylogenetics and Evolution. 144. 106710–106710. 13 indexed citations

15.

Anistratenko, Vitaliy V., et al.. (2017). A taxonomic position of Armenian endemic freshwater snails of the genusShadiniaAkramowski, 1976 (Caenogastropoda: Hydrobiidae): combining morphological and molecular evidence. Molluscan Research. 37(3). 212–221. 5 indexed citations

16.

Schön, Isa, Valentina Pieri, D. Yu. Sherbakov, & Koen Martens. (2017). Cryptic diversity and speciation in endemic Cytherissa (Ostracoda, Crustacea) from Lake Baikal. Hydrobiologia. 800(1). 61–79. 21 indexed citations

17.

Sherbakov, D. Yu., et al.. (2016). Recent results of molecularphylogenetic studies of endemic invertebrates inhabiting Lake Baikal. Vavilov Journal of Genetics and Breeding. 20(4). 404–407. 2 indexed citations

18.

Sitnikova, T. Ya., et al.. (2016). A new, genetically divergent species of Pseudobaikalia Lindholm, 1909 (Caenogastropoda, Baicaliidae). ZooKeys. 593(593). 1–14. 3 indexed citations

19.

Martin, Patrick, et al.. (2000). Rapidly Evolving Lineages Impede the Resolution of Phylogenetic Relationships among Clitellata (Annelida). Molecular Phylogenetics and Evolution. 15(3). 355–368. 47 indexed citations

20.

Grachev, M.A., et al.. (1992). Comparative study of two protein-coding regions of mitochondrial DNA from three endemic sculpins (cottoidei) of Lake Baikal. Journal of Molecular Evolution. 34(1). 85–90. 15 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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