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
- Ecology 4
- Bacteriophages and microbial interactions 4
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- Genomics and Phylogenetic Studies 5
- Protist diversity and phylogeny 2
- Co-authors
- Pavel A. Pevzner (4 shared papers)Mikhail Kolmogorov (2 shared papers)Derek M. Bickhart (1 shared paper)Alexey A. Gurevich (1 shared paper)Kristen L. Kuhn (1 shared paper)Timothy P. L. Smith (1 shared paper)Bahar Behsaz (1 shared paper)Jeffrey Yuan (1 shared paper)
- Journals
- Genes (2 papers)Nature Methods (1 paper)Nature Communications (1 paper)Parasitology Research (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- RussiaUnited StatesFrance
In The Last Decade
Mikhail Rayko
17 papers receiving 1.2k citations
Mikhail Rayko's Hit Papers
Peers
Comparison fields: 5 of 85
- Ecology 328
- Molecular Biology 506
- Endocrinology 31
- Molecular Medicine 47
- Pollution 52
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 | 658 |
| 2 | 2021 | 147 | |
| 3 | 2021 | 112 | |
| 4 | 2019 | 94 | |
| 5 | 2006 | 71 | |
| 6 | 2018 | 24 | |
| 7 | 2022 | 22 | |
| 8 | 2016 | 19 | |
| 9 | 2017 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2016 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2016 | 0 | |
| 19 | 2024 | 0 |
About Mikhail Rayko
Mikhail Rayko is a scholar working on Ecology, Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics and Endocrinology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Bacteriophages and microbial interactions (4 papers), Chromosomal and Genetic Variations (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Protist diversity and phylogeny (2 papers), Axon Guidance and Neuronal Signaling (1 paper), Ichthyology and Marine Biology (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Ecology (328 citations), Molecular Biology (506 citations), Endocrinology (31 citations), Molecular Medicine (47 citations) and Pollution (52 citations). Mikhail Rayko has collaborated with scholars based in Russia, United States and France. Frequent co-authors include Pavel A. Pevzner, Mikhail Kolmogorov, Derek M. Bickhart, Alexey A. Gurevich, Kristen L. Kuhn, Timothy P. L. Smith, Bahar Behsaz, Jeffrey Yuan, Dmitry Antipov and Natalya Yutin. Their work appears in journals such as Genes, Nature Methods, Nature Communications, Parasitology Research and Journal of Neurochemistry.
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.