Mikhail Rayko
Impact in
- Ecology top 5%
- Bacteriophages and microbial interactions
- Microbial Community Ecology and Physiology
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- Genomics and Phylogenetic Studies
- Gut microbiota and health
Papers in
-
- Genomics and Phylogenetic Studies 8
- Protist diversity and phylogeny 2
- Ecology 9
- Microbial Community Ecology and Physiology 5
- Bacteriophages and microbial interactions 4
- Co-authors
- Pavel A. Pevzner (4 shared papers)Mikhail Kolmogorov (2 shared papers)Jeffrey Yuan (1 shared paper)Kristen L. Kuhn (1 shared paper)Bahar Behsaz (1 shared paper)Alexey Gurevich (1 shared paper)Timothy P. L. Smith (1 shared paper)Derek M. Bickhart (1 shared paper)
- Journals
- Journal of Fungi (1 paper)Nature Communications (1 paper)Organisms Diversity & Evolution (1 paper)Microbiome (1 paper)Genes (1 paper)
- Partner nations
- RussiaUnited StatesSwitzerland
In The Last Decade
Mikhail Rayko
17 papers receiving 1.1k citations
Mikhail Rayko's Hit Papers
Peers
Comparison fields: 5 of 103
- Ecology 444
- Molecular Biology 573
- Endocrinology 36
- Horticulture 7
- Microbiology 42
Countries citing papers authored by Mikhail Rayko
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
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-authors
The 25 scholars most cited alongside Mikhail Rayko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | metaFlye: scalable long-read metagenome assembly using repeat graphs Hit paper breakdown → | 2020 | 583 |
| 2 | 2021 | 126 | |
| 3 | 2021 | 97 | |
| 4 | 2019 | 88 | |
| 5 | 2006 | 70 | |
| 6 | 2018 | 23 | |
| 7 | 2022 | 20 | |
| 8 | 2016 | 18 | |
| 9 | 2017 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2016 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 0 | |
| 19 | 2016 | 0 |
About Mikhail Rayko
Mikhail Rayko is a scholar working on Molecular Biology, Ecology, Plant Science, Ecology, Evolution, Behavior and Systematics and Pharmacology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Microbial Community Ecology and Physiology (5 papers), Bacteriophages and microbial interactions (4 papers), Plant Taxonomy and Phylogenetics (3 papers), Botany and Plant Ecology Studies (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Protist diversity and phylogeny (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Ecology (444 citations), Molecular Biology (573 citations), Endocrinology (36 citations), Horticulture (7 citations) and Microbiology (42 citations). Mikhail Rayko has collaborated with scholars based in Russia, United States and Switzerland. Frequent co-authors include Pavel A. Pevzner, Mikhail Kolmogorov, Jeffrey Yuan, Kristen L. Kuhn, Bahar Behsaz, Alexey Gurevich, Timothy P. L. Smith, Derek M. Bickhart, Dmitry Antipov and Eugene V. Koonin. Their work appears in journals such as Journal of Fungi, Nature Communications, Organisms Diversity & Evolution, Microbiome and Genes.
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.