Yu. P. Galach’yants

601 total citations · 1 hit paper
19 papers, 417 citations indexed

About

Yu. P. Galach’yants is a scholar working on Ecology, Environmental Chemistry and Molecular Biology. According to data from OpenAlex, Yu. P. Galach’yants has authored 19 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 10 papers in Environmental Chemistry and 9 papers in Molecular Biology. Recurrent topics in Yu. P. Galach’yants's work include Microbial Community Ecology and Physiology (11 papers), Methane Hydrates and Related Phenomena (9 papers) and Genomics and Phylogenetic Studies (5 papers). Yu. P. Galach’yants is often cited by papers focused on Microbial Community Ecology and Physiology (11 papers), Methane Hydrates and Related Phenomena (9 papers) and Genomics and Phylogenetic Studies (5 papers). Yu. P. Galach’yants collaborates with scholars based in Russia, Switzerland and Tajikistan. Yu. P. Galach’yants's co-authors include Т. I. Zemskaya, S. V. Bukin, А. S. Zakharenko, Yu. S. Bukin, Igor V. Morozov, Yelena V. Likhoshway, Т. V. Pogodaeva, M.A. Grachev, М. А. Грачев and Andrei P. Kozlov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Data and Journal of Great Lakes Research.

In The Last Decade

Yu. P. Galach’yants

14 papers receiving 410 citations

Hit Papers

The effect of 16S rRNA re... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The effect of 16S rRNA region choice on bacterial community metabarcoding results
    2019 263 citations Yu. S. Bukin, Yu. P. Galach’yants et al. Scientific Data profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu. P. Galach’yants Russia 8 228 194 73 36 31 19 417
Mads Lichtenberg Denmark 16 236 1.0× 311 1.6× 36 0.5× 24 0.7× 26 0.8× 37 697
Hyun‐Jung Kim South Korea 13 254 1.1× 234 1.2× 88 1.2× 27 0.8× 22 0.7× 49 734
Yu. S. Bukin Russia 7 189 0.8× 151 0.8× 28 0.4× 12 0.3× 33 1.1× 35 383
Jennifer M. Mobberley United States 14 247 1.1× 395 2.0× 110 1.5× 14 0.4× 23 0.7× 21 604
Yingli Zhou China 16 235 1.0× 209 1.1× 98 1.3× 24 0.7× 11 0.4× 47 671
Victoria Suárez-Ulloa United States 10 276 1.2× 153 0.8× 49 0.7× 8 0.2× 26 0.8× 17 576
S. V. Bukin Russia 8 196 0.9× 190 1.0× 103 1.4× 6 0.2× 32 1.0× 31 423
Maria V. Sizova United States 15 307 1.3× 283 1.5× 87 1.2× 21 0.6× 30 1.0× 24 787
Mariana P. Lanfranconi Argentina 12 293 1.3× 280 1.4× 52 0.7× 13 0.4× 39 1.3× 17 623
Leslie G. Murphy United States 5 322 1.4× 290 1.5× 44 0.6× 8 0.2× 57 1.8× 7 654

Countries citing papers authored by Yu. P. Galach’yants

Since Specialization
Citations

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

Fields of papers citing papers by Yu. P. Galach’yants

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. P. Galach’yants. 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 Yu. P. Galach’yants. The network helps show where Yu. P. Galach’yants may publish in the future.

Co-authorship network of co-authors of Yu. P. Galach’yants

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

All Works

19 of 19 papers shown
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Sakirko, M. V., et al.. (2023). Seasonal changes of phyto-, bacterioplankton and autotrophic picoplankton in the photic layer of Lake Baikal. Limnology and Freshwater Biology. 31–47.
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Shubenkova, О. V., А. S. Zakharenko, Yu. P. Galach’yants, et al.. (2021). Effect of Methanol and Mineral Nitrogen Compounds on the Composition of Methanotrophic Enrichments from the Sediments of a Lake Baikal Methane Seep. Microbiology. 90(4). 443–454.
6.
Bukin, Yu. S., Yu. P. Galach’yants, Igor V. Morozov, et al.. (2019). The effect of 16S rRNA region choice on bacterial community metabarcoding results. Scientific Data. 6(1). 190007–190007. 263 indexed citations breakdown →
7.
Pavlova, Olga, S. V. Bukin, Е.А. Kostyreva, et al.. (2019). Experimental Transformation of Organic Matter by the Microbial Community from the Bottom Sediments of Akademichesky Ridge (Lake Baikal). Russian Geology and Geophysics. 60(8). 926–937. 5 indexed citations
8.
Bukin, S. V., Olga Pavlova, G. V. Kalmychkov, et al.. (2018). Substrate Specificity of Methanogenic Communities from Lake Baikal Bottom Sediments Associated with Hydrocarbon Gas Discharge. Microbiology. 87(4). 549–558. 14 indexed citations
9.
Zemskaya, Т. I., et al.. (2018). Composition of Microbial Communities in Sediments from Southern Baikal Containing Fe/Mn Concretions. Microbiology. 87(3). 382–392. 7 indexed citations
10.
Galach’yants, Yu. P., et al.. (2017). Bacterial communities during the period of massive under-ice dinoflagellate development in Lake Baikal. Microbiology. 86(4). 524–532. 13 indexed citations
11.
Belkova, N. L., et al.. (2017). Taxonomic composition of Lake Baikal bacterioneuston communities. Microbiology. 86(2). 241–249. 8 indexed citations
12.
Galach’yants, Yu. P., et al.. (2016). Metagenomic analysis of microbial communities of the sediments of the Kara Sea shelf and the Yenisei Bay. Microbiology. 85(2). 220–230. 6 indexed citations
13.
Pogodaeva, Т. V., Yu. P. Galach’yants, S. V. Bukin, et al.. (2016). Phylogenetic diversity of microbial communities of the Posolsk Bank bottom sediments, Lake Baikal. Microbiology. 85(6). 672–680. 21 indexed citations
14.
Bondar, Alexander A., et al.. (2016). Unique configuration of genes of silicon transporter in the freshwater pennate diatom Synedra acus subsp. radians. Doklady Biochemistry and Biophysics. 471(1). 407–409. 6 indexed citations
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Михайлов, И. С., et al.. (2015). Similarity of structure of taxonomic bacterial communities in the photic layer of Lake Baikal’s three basins differing in spring phytoplankton composition and abundance. Doklady Biochemistry and Biophysics. 465(1). 413–419. 25 indexed citations
17.
Galach’yants, Yu. P., et al.. (2015). Sequencing of the complete genome of an araphid pennate diatom Synedra acus subsp. radians from Lake Baikal. Doklady Biochemistry and Biophysics. 461(1). 84–88. 32 indexed citations
18.
Galach’yants, Yu. P., et al.. (2013). Aquaporin-like protein of the diatom Synedra acus. Doklady Biochemistry and Biophysics. 448(1). 5–8. 3 indexed citations
19.
Samusik, Nikolay, Yu. P. Galach’yants, & Andrei P. Kozlov. (2011). Analysis of evolutionary novelty of tumor-specifically expressed sequences. Russian Journal of Genetics Applied Research. 1(2). 138–148. 8 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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Breakdown of academic impact, for papers by Mads Lichtenberg Breakdown of academic impact, for papers by Hyun‐Jung Kim Breakdown of academic impact, for papers by Yu. S. Bukin Breakdown of academic impact, for papers by Jennifer M. Mobberley Breakdown of academic impact, for papers by Yingli Zhou Breakdown of academic impact, for papers by Victoria Suárez-Ulloa Breakdown of academic impact, for papers by S. V. Bukin Breakdown of academic impact, for papers by Maria V. Sizova Breakdown of academic impact, for papers by Mariana P. Lanfranconi Breakdown of academic impact, for papers by Leslie G. Murphy
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