Mikhail Kovtun
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- Genetic Associations and Epidemiology
- Evolution and Genetic Dynamics
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 5
- Genetic and phenotypic traits in livestock 1
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- Statistical Methods and Bayesian Inference 4
- Co-authors
- Alexander M. Kulminski (7 shared papers)Svetlana Ukraintseva (6 shared papers)Konstantin G. Arbeev (7 shared papers)Arseniy Yashkin (8 shared papers)Anatoliy I. Yashin (8 shared papers)Igor Akushevich (11 shared papers)Yueling Hao (1 shared paper)Xing‐Wang Deng (1 shared paper)
- Journals
- Frontiers in Genetics (3 papers)Experimental Gerontology (2 papers)Biogerontology (1 paper)PLANT PHYSIOLOGY (1 paper)ESAIM Probability and Statistics (1 paper)
- Partner nations
- United StatesSingaporeGermany
In The Last Decade
Mikhail Kovtun
16 papers receiving 293 citations
Peers
Comparison fields: 5 of 76
- Aging 37
- Genetics 68
- Plant Science 83
- Geriatrics and Gerontology 8
- Neuropsychology and Physiological Psychology 3
Countries citing papers authored by Mikhail Kovtun
This map shows the geographic impact of Mikhail Kovtun'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 Kovtun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Kovtun more than expected).
Fields of papers citing papers by Mikhail Kovtun
This network shows the impact of papers produced by Mikhail Kovtun. 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 Kovtun. The network helps show where Mikhail Kovtun may publish in the future.
Co-authors
The 25 scholars most cited alongside Mikhail Kovtun, 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 | 2011 | 64 | |
| 2 | 2017 | 49 | |
| 3 | 2017 | 40 | |
| 4 | 2016 | 33 | |
| 5 | 2019 | 21 | |
| 6 | 2016 | 20 | |
| 7 | 2015 | 19 | |
| 8 | 2015 | 16 | |
| 9 | 2004 | 10 | |
| 10 | 2006 | 5 | |
| 11 | 2016 | 4 | |
| 12 | Population models for the health effects of ionizing radiation. | 2007 | 4 |
| 13 | 2023 | 3 | |
| 14 | 2008 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2011 | 0 |
About Mikhail Kovtun
Mikhail Kovtun is a scholar working on Genetics, Statistics and Probability, Molecular Biology, Epidemiology and Artificial Intelligence, having authored 17 papers that have together received 294 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Statistical Methods and Bayesian Inference (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Bayesian Methods and Mixture Models (3 papers), Bioinformatics and Genomic Networks (2 papers), Health disparities and outcomes (2 papers), Plant Molecular Biology Research (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Aging (37 citations), Genetics (68 citations), Plant Science (83 citations), Geriatrics and Gerontology (8 citations) and Neuropsychology and Physiological Psychology (3 citations). Mikhail Kovtun has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Alexander M. Kulminski, Svetlana Ukraintseva, Konstantin G. Arbeev, Arseniy Yashkin, Anatoliy I. Yashin, Igor Akushevich, Yueling Hao, Xing‐Wang Deng, Hongchang Cui and Hitoshi Sakakibara. Their work appears in journals such as Frontiers in Genetics, Experimental Gerontology, Biogerontology, PLANT PHYSIOLOGY and ESAIM Probability and Statistics.
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.