Mikhail Kovtun

488 total citations
17 papers, 294 citations indexed

About

Mikhail Kovtun is a scholar working on Genetics, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Mikhail Kovtun has authored 17 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in Mikhail Kovtun's work include Genetic Associations and Epidemiology (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Bayesian Methods and Mixture Models (3 papers). Mikhail Kovtun is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Bayesian Methods and Mixture Models (3 papers). Mikhail Kovtun collaborates with scholars based in United States, Singapore and Germany. Mikhail Kovtun's co-authors include Alexander M. Kulminski, Svetlana Ukraintseva, Arseniy Yashkin, Konstantin G. Arbeev, Anatoliy I. Yashin, Igor Akushevich, Yueling Hao, Xing‐Wang Deng, Viktor Štolc and Mikiko Kojima and has published in prestigious journals such as PLANT PHYSIOLOGY, Current Biology and PLoS Genetics.

In The Last Decade

Mikhail Kovtun

16 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Kovtun United States 9 128 83 68 48 37 17 294
Ryan M. Ames United Kingdom 13 281 2.2× 55 0.7× 148 2.2× 75 1.6× 15 0.4× 25 495
Maria Litovchenko Switzerland 10 83 0.6× 14 0.2× 48 0.7× 37 0.8× 37 1.0× 14 215
Xavier Farré Spain 7 98 0.8× 22 0.3× 76 1.1× 20 0.4× 30 0.8× 19 206
Phyllis Carosone‐Link United States 15 124 1.0× 23 0.3× 170 2.5× 92 1.9× 30 0.8× 29 551
E. T. Dermitzakis Switzerland 7 180 1.4× 36 0.4× 143 2.1× 57 1.2× 17 0.5× 7 321
Christine Guillemette Canada 15 237 1.9× 30 0.4× 63 0.9× 33 0.7× 22 0.6× 19 610
John Parker United States 6 323 2.5× 182 2.2× 142 2.1× 14 0.3× 7 0.2× 15 485
Andres Metspalu Estonia 6 60 0.5× 19 0.2× 159 2.3× 83 1.7× 34 0.9× 8 316
Amir R. Kermany United States 5 82 0.6× 8 0.1× 108 1.6× 33 0.7× 62 1.7× 9 254
Edward Oh Canada 8 126 1.0× 85 1.0× 20 0.3× 39 0.8× 22 0.6× 9 284

Countries citing papers authored by Mikhail Kovtun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mikhail Kovtun

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Kovtun. A scholar is included among the top collaborators of Mikhail Kovtun 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 Kovtun. Mikhail Kovtun 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
1.
Akushevich, Igor, Arseniy Yashkin, Mikhail Kovtun, et al.. (2023). Forecasting prevalence and mortality of Alzheimer's disease using the partitioning models. Experimental Gerontology. 174. 112133–112133. 3 indexed citations
2.
Akushevich, Igor, Arseniy Yashkin, Mikhail Kovtun, et al.. (2023). Decomposition of disparities in life expectancy with applications to administrative health claims and registry data. Theoretical Population Biology. 153. 50–68. 1 indexed citations
3.
Akushevich, Igor, Arseniy Yashkin, Mikhail Kovtun, A.I. Yashin, & Julia Kravchenko. (2022). Underlying mechanisms of change in cancer prevalence in older U.S. adults: contributions of incidence, survival, and ascertainment at early stages. Cancer Causes & Control. 33(9). 1161–1172. 2 indexed citations
4.
Anderson, Danielle E., So Young Kim, Bevan Sawatsky, et al.. (2019). Comparative Loss-of-Function Screens Reveal ABCE1 as an Essential Cellular Host Factor for Efficient Translation of Paramyxoviridae and Pneumoviridae. mBio. 10(3). 21 indexed citations
5.
Yashin, Anatoliy I., Fang Fang, Mikhail Kovtun, et al.. (2017). Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Experimental Gerontology. 107. 148–160. 49 indexed citations
6.
Fradin, Hèléne, Karin Kiontke, Michelle Gutwein, et al.. (2017). Genome Architecture and Evolution of a Unichromosomal Asexual Nematode. Current Biology. 27(19). 2928–2939.e6. 40 indexed citations
7.
Kulminski, Alexander M., Liang He, Irina Culminskaya, et al.. (2016). Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality. PLoS Genetics. 12(11). e1006314–e1006314. 20 indexed citations
8.
He, Liang, Irina Kulminskaya, Yury Loika, et al.. (2016). Pleiotropic Meta-Analyses of Longitudinal Studies Discover Novel Genetic Variants Associated with Age-Related Diseases. Frontiers in Genetics. 7. 179–179. 33 indexed citations
9.
Yashin, Anatoliy I., Liubov Arbeeva, Konstantin G. Arbeev, et al.. (2016). Pure and Confounded Effects of Causal SNPs on Longevity: Insights for Proper Interpretation of Research Findings in GWAS of Populations with Different Genetic Structures. Frontiers in Genetics. 7. 188–188. 4 indexed citations
10.
Yashin, Anatoliy I., Deqing Wu, Liubov Arbeeva, et al.. (2015). Genetics of aging, health, and survival: dynamic regulation of human longevity related traits. Frontiers in Genetics. 6. 122–122. 16 indexed citations
11.
Yashin, Anatoliy I., Konstantin G. Arbeev, Liubov Arbeeva, et al.. (2015). How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity. Biogerontology. 17(1). 89–107. 19 indexed citations
12.
Cui, Hongchang, Yueling Hao, Mikhail Kovtun, et al.. (2011). Genome-Wide Direct Target Analysis Reveals a Role for SHORT-ROOT in Root Vascular Patterning through Cytokinin Homeostasis    . PLANT PHYSIOLOGY. 157(3). 1221–1231. 64 indexed citations
13.
Kovtun, Mikhail, Igor Akushevich, & Anatoliy I. Yashin. (2011). On identifiability of mixtures of independent distribution laws. ESAIM Probability and Statistics. 18. 207–232.
14.
Akushevich, Igor, Mikhail Kovtun, Kenneth G. Mantón, & Anatoli I. Yashin. (2008). Linear Latent Structure Analysis and Modelling of Multiple Categorical Variables. Computational and Mathematical Methods in Medicine. 10(3). 203–218. 3 indexed citations
15.
Akushevich, Igor, et al.. (2007). Population models for the health effects of ionizing radiation.. PubMed. 46(6). 663–74. 4 indexed citations
16.
Kovtun, Mikhail, Igor Akushevich, Kenneth G. Mantón, & H. Dennis Tolley. (2006). Linear latent structure analysis: Mixture distribution models with linear constraints. Statistical Methodology. 4(1). 90–110. 5 indexed citations
17.
Mantón, Kenneth G., XiLiang Gu, Hai Huang, & Mikhail Kovtun. (2004). Fuzzy set analyses of genetic determinants of health and disability status. Statistical Methods in Medical Research. 13(5). 395–408. 10 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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