Mikhail Rayko

2.1k total citations · 1 hit paper
17 papers, 1.0k citations indexed

About

Mikhail Rayko is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Mikhail Rayko has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Ecology and 7 papers in Plant Science. Recurrent topics in Mikhail Rayko's work include Genomics and Phylogenetic Studies (7 papers), Microbial Community Ecology and Physiology (4 papers) and Bacteriophages and microbial interactions (4 papers). Mikhail Rayko is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Microbial Community Ecology and Physiology (4 papers) and Bacteriophages and microbial interactions (4 papers). Mikhail Rayko collaborates with scholars based in Russia, United States and Malaysia. Mikhail Rayko's co-authors include Pavel A. Pevzner, Mikhail Kolmogorov, Alexey Gurevich, Jeffrey Yuan, Timothy P. L. Smith, Bahar Behsaz, Kristen L. Kuhn, Derek M. Bickhart, Dmitry Antipov and Natalya Yutin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Mikhail Rayko

17 papers receiving 995 citations

Hit Papers

metaFlye: scalable long-read metagenome assembly using re... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Rayko Russia 10 593 454 179 82 65 17 1.0k
Wenyan Nong Hong Kong 20 581 1.0× 326 0.7× 184 1.0× 72 0.9× 199 3.1× 58 1.2k
K. V. Rajendran India 25 386 0.7× 380 0.8× 80 0.4× 86 1.0× 83 1.3× 112 2.2k
Qingguo Meng China 24 422 0.7× 327 0.7× 162 0.9× 22 0.3× 52 0.8× 96 1.8k
John V. Smalley United States 9 353 0.6× 136 0.3× 221 1.2× 77 0.9× 108 1.7× 17 990
Hamza Khan United States 8 573 1.0× 200 0.4× 156 0.9× 49 0.6× 170 2.6× 23 876
Xiande Huang China 25 419 0.7× 253 0.6× 118 0.7× 32 0.4× 47 0.7× 66 1.9k
Yongquan Su China 29 716 1.2× 465 1.0× 149 0.8× 32 0.4× 232 3.6× 97 2.1k
Monica F. Brinchmann Norway 28 521 0.9× 311 0.7× 49 0.3× 37 0.5× 71 1.1× 54 2.2k
Susanne Penny Canada 13 883 1.5× 422 0.9× 148 0.8× 34 0.4× 143 2.2× 21 1.2k
Hongshan Jiang China 8 648 1.1× 145 0.3× 264 1.5× 70 0.9× 186 2.9× 16 1.2k

Countries citing papers authored by Mikhail Rayko

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Rayko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail Rayko. 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 Mikhail Rayko. The network helps show where Mikhail Rayko may publish in the future.

Co-authorship network of co-authors of Mikhail Rayko

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

All Works

17 of 17 papers shown
2.
Antipov, Dmitry, Mikhail Rayko, Mikhail Kolmogorov, & Pavel A. Pevzner. (2022). viralFlye: assembling viruses and identifying their hosts from long-read metagenomics data. Genome biology. 23(1). 57–57. 16 indexed citations
3.
Yutin, Natalya, Mikhail Rayko, Dmitry Antipov, et al.. (2022). Varidnaviruses in the Human Gut: A Major Expansion of the Order Vinavirales. Viruses. 14(9). 1842–1842. 7 indexed citations
4.
Кравченко, И. К., et al.. (2022). Agricultural Crops Grown in Laboratory Conditions on Chernevaya Taiga Soil Demonstrate Unique Composition of the Rhizosphere Microbiota. Microorganisms. 10(11). 2171–2171. 9 indexed citations
5.
Nassonova, Elena, Sergey V. Loiko, Anastasia I. Kulemzina, et al.. (2022). Thecochaos is not a myth: study of the genus Thecochaos (Amoebozoa, Discosea) – a rediscovered group of lobose amoeba, with short SSU gene. Organisms Diversity & Evolution. 23(1). 7–24. 2 indexed citations
6.
Rayko, Mikhail, et al.. (2022). Phylogenetic and Expression Analysis of CENH3 and APOLLO Genes in Sexual and Apomictic Boechera Species. Plants. 11(3). 387–387. 5 indexed citations
7.
Yutin, Natalya, Sean Benler, Yuri I. Wolf, et al.. (2021). Analysis of metagenome-assembled viral genomes from the human gut reveals diverse putative CrAss-like phages with unique genomic features. Nature Communications. 12(1). 91 indexed citations
8.
Benler, Sean, Natalya Yutin, Dmitry Antipov, et al.. (2021). Thousands of previously unknown phages discovered in whole-community human gut metagenomes. Microbiome. 9(1). 78–78. 118 indexed citations
9.
Rayko, Mikhail, et al.. (2021). Fungal Metagenome of Chernevaya Taiga Soils: Taxonomic Composition, Differential Abundance and Factors Related to Plant Gigantism. Journal of Fungi. 7(11). 908–908. 3 indexed citations
10.
Kolmogorov, Mikhail, Derek M. Bickhart, Bahar Behsaz, et al.. (2020). metaFlye: scalable long-read metagenome assembly using repeat graphs. Nature Methods. 17(11). 1103–1110. 527 indexed citations breakdown →
11.
Rayko, Mikhail, Aleksey Komissarov, Jason C. Kwan, et al.. (2020). Draft genome of Bugula neritina, a colonial animal packing powerful symbionts and potential medicines. Scientific Data. 7(1). 356–356. 7 indexed citations
12.
Marra, Nicholas J., Michael J. Stanhope, Nathaniel K. Jue, et al.. (2019). White shark genome reveals ancient elasmobranch adaptations associated with wound healing and the maintenance of genome stability. Proceedings of the National Academy of Sciences. 116(10). 4446–4455. 83 indexed citations
13.
Kliver, Sergei, Mikhail Rayko, Daria V. Zhernakova, et al.. (2018). Assembly of the Boechera retrofracta Genome and Evolutionary Analysis of Apomixis-Associated Genes. Genes. 9(4). 185–185. 22 indexed citations
14.
Родионов, А. В., et al.. (2017). ITS1–5.8S rDNA–ITS2 sequence in 35S rRNA genes as marker for reconstruction of phylogeny of grasses (Poaceae family). Biology Bulletin Reviews. 7(2). 85–102. 13 indexed citations
15.
Bajenova, Olga, et al.. (2016). The Genome-Wide Analysis of Carcinoembryonic Antigen Signaling by Colorectal Cancer Cells Using RNA Sequencing. PLoS ONE. 11(9). e0161256–e0161256. 18 indexed citations
16.
Tan, Tze King, Ranjeev Hari, Guat Jah Wong, et al.. (2016). PGD: a pangolin genome hub for the research community. Database. 2016. baw063–baw063. 7 indexed citations
17.
Korshunova, Irina, Vera Novitskaya, Darya Kiryushko, et al.. (2006). GAP‐43 regulates NCAM‐180‐mediated neurite outgrowth. Journal of Neurochemistry. 100(6). 1599–1612. 69 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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