Alexander Myslenkov

486 total citations
8 papers, 351 citations indexed

About

Alexander Myslenkov is a scholar working on Ecology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Alexander Myslenkov has authored 8 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 7 papers in Genetics and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Alexander Myslenkov's work include Genetic diversity and population structure (6 papers), Wildlife Ecology and Conservation (5 papers) and Genetic and phenotypic traits in livestock (5 papers). Alexander Myslenkov is often cited by papers focused on Genetic diversity and population structure (6 papers), Wildlife Ecology and Conservation (5 papers) and Genetic and phenotypic traits in livestock (5 papers). Alexander Myslenkov collaborates with scholars based in South Korea, United States and Japan. Alexander Myslenkov's co-authors include Dale G. Miquelle, Philip A. Stephens, Gregory D. Hayward, Inna Voloshina, Hang Lee, Mi‐Sook Min, Young Jun Kim, Ya‐Ping Zhang, Miroslava Barančeková and Mu‐Yeong Lee and has published in prestigious journals such as Journal of Zoology, Journal of Heredity and Animal Conservation.

In The Last Decade

Alexander Myslenkov

8 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Myslenkov South Korea 8 300 132 85 39 39 8 351
Craig White United States 8 339 1.1× 99 0.8× 42 0.5× 43 1.1× 29 0.7× 10 366
Anish Andheria India 6 342 1.1× 155 1.2× 62 0.7× 34 0.9× 28 0.7× 10 398
P. Anuradha Reddy India 10 245 0.8× 139 1.1× 39 0.5× 32 0.8× 46 1.2× 20 292
Georg Rauer Austria 9 235 0.8× 81 0.6× 58 0.7× 35 0.9× 72 1.8× 14 313
Paul J. de Tores Australia 12 282 0.9× 94 0.7× 54 0.6× 82 2.1× 38 1.0× 17 331
Joel Ruprecht United States 10 263 0.9× 72 0.5× 54 0.6× 45 1.2× 55 1.4× 18 326
Adam Dillon United States 5 312 1.0× 147 1.1× 108 1.3× 46 1.2× 73 1.9× 5 405
Daniel A. Bogan Canada 3 270 0.9× 53 0.4× 96 1.1× 34 0.9× 21 0.5× 3 279
Rasmus Worsøe Havmøller Denmark 9 244 0.8× 57 0.4× 64 0.8× 31 0.8× 43 1.1× 23 292
Esther van der Meer Zimbabwe 11 221 0.7× 102 0.8× 42 0.5× 22 0.6× 41 1.1× 23 290

Countries citing papers authored by Alexander Myslenkov

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Myslenkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Myslenkov

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

All Works

8 of 8 papers shown
1.
Lee, Jieun, Young Jun Kim, Mi‐Sook Min, et al.. (2014). Genetic structure of wild boar (Sus scrofa) populations from East Asia based on microsatellite loci analyses. BMC Genetics. 15(1). 85–85. 36 indexed citations
2.
Barančeková, Miroslava, et al.. (2013). Dybowski’s Sika Deer (Cervus nippon hortulorum): Genetic Divergence between Natural Primorian and Introduced Czech Populations. Journal of Heredity. 104(3). 312–326. 12 indexed citations
3.
Barančeková, Miroslava, Inna Voloshina, Alexander Myslenkov, et al.. (2012). The origin and genetic variability of the Czech sika deer population. Ecological Research. 27(6). 991–1003. 16 indexed citations
4.
Miquelle, Dale G., et al.. (2012). Why do Amur tigers maintain exclusive home ranges? Relating ungulate seasonal movements to tiger spatial organization in the Russian Far East. Journal of Zoology. 287(4). 276–282. 22 indexed citations
5.
Min, Mi‐Sook, Young Jun Kim, Inna Voloshina, et al.. (2011). Genetic Status of Asiatic Black Bear (Ursus thibetanus) Reintroduced into South Korea Based on Mitochondrial DNA and Microsatellite Loci Analysis. Journal of Heredity. 102(2). 165–174. 31 indexed citations
6.
Lee, Mu‐Yeong, Inna Voloshina, Alexander Myslenkov, et al.. (2008). Mitochondrial genetic diversity and phylogenetic relationships of Siberian flying squirrel(Pteromys volans)populations. Animal Cells and Systems. 12(4). 269–277. 13 indexed citations
7.
Lee, Mu‐Yeong, A.A. Lissovsky, Sun-Kyung Park, et al.. (2008). Mitochondrial Cytochrome b Sequence Variations and Population Structure of Siberian Chipmunk (Tamias sibiricus) in Northeastern Asia and Population Substructure in South Korea. Molecules and Cells. 26(6). 566–575. 34 indexed citations
8.
Stephens, Philip A., et al.. (2006). Estimating population density from indirect sign: track counts and the Formozov–Malyshev–Pereleshin formula. Animal Conservation. 9(3). 339–348. 187 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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