Nikolay Markov

1.6k total citations · 1 hit paper
31 papers, 945 citations indexed

About

Nikolay Markov is a scholar working on Ecology, Genetics and Economics and Econometrics. According to data from OpenAlex, Nikolay Markov has authored 31 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ecology, 10 papers in Genetics and 7 papers in Economics and Econometrics. Recurrent topics in Nikolay Markov's work include Wildlife Ecology and Conservation (15 papers), Genetic diversity and population structure (9 papers) and Ecology and biodiversity studies (8 papers). Nikolay Markov is often cited by papers focused on Wildlife Ecology and Conservation (15 papers), Genetic diversity and population structure (9 papers) and Ecology and biodiversity studies (8 papers). Nikolay Markov collaborates with scholars based in Russia, Switzerland and United Kingdom. Nikolay Markov's co-authors include Nikica Šprem, Tomasz Podgórski, Giovanna Massei, Carlos Fonseca, Dragan Gačić, Boštjan Pokorny, Sandra Cellina, Andrea Monaco, Carme Rosell and András Náhlik and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Nikolay Markov

29 papers receiving 909 citations

Hit Papers

Wild boar populations up, numbers of hunters down? A revi... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolay Markov Russia 13 523 287 180 164 116 31 945
Ulf Hohmann Germany 13 675 1.3× 240 0.8× 231 1.3× 180 1.1× 126 1.1× 21 1.0k
Sandra Cellina United Kingdom 3 500 1.0× 420 1.5× 164 0.9× 147 0.9× 141 1.2× 3 941
Carme Rosell Spain 10 618 1.2× 155 0.5× 227 1.3× 175 1.1× 109 0.9× 20 976
Wanda Olech Poland 17 358 0.7× 259 0.9× 151 0.8× 110 0.7× 80 0.7× 102 941
András Náhlik Hungary 6 432 0.8× 136 0.5× 191 1.1× 149 0.9× 97 0.8× 16 709
Kenneth A. Logan United States 16 1.0k 1.9× 302 1.1× 190 1.1× 106 0.6× 128 1.1× 28 1.3k
Andrea Monaco Italy 15 793 1.5× 227 0.8× 317 1.8× 239 1.5× 178 1.5× 26 1.2k
Graham Hemson United Kingdom 14 690 1.3× 204 0.7× 126 0.7× 80 0.5× 134 1.2× 16 1.0k
Roy McBride United States 14 606 1.2× 439 1.5× 94 0.5× 126 0.8× 96 0.8× 27 1.1k
Billie Lazenby Australia 10 453 0.9× 344 1.2× 134 0.7× 70 0.4× 72 0.6× 14 1.0k

Countries citing papers authored by Nikolay Markov

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay Markov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolay Markov

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

All Works

20 of 20 papers shown
1.
Markov, Nikolay, et al.. (2024). Between the east and the west: genetic uniqueness of the Central-Asian wild boar (Sus scrofa) on the basis of maternal and paternal markers. Mammalian Biology. 104(3). 333–344. 1 indexed citations
2.
Markov, Nikolay, et al.. (2023). Method for obtaining gluten-free high protein animal feeds. SHILAP Revista de lepidopterología. 15(3). 31–35. 1 indexed citations
3.
Markov, Nikolay, et al.. (2022). “Perchance to dream?”: Assessing the effects of dispersal strategies on the fitness of expanding populations. Ecological Complexity. 50. 100987–100987. 6 indexed citations
5.
Kim, Kyung Seok, Inna Voloshina, Naotaka Ishiguro, et al.. (2020). Asia-wide phylogeography of wild boar (Sus scrofa) based on mitochondrial DNA and Y-chromosome: Revising the migration routes of wild boar in Asia. PLoS ONE. 15(8). e0238049–e0238049. 22 indexed citations
6.
Markov, Nikolay, et al.. (2020). Effect of the Rooting Activity of Wild Boar Sus scrofa on Plant Communities in the Middle Taiga of Western Siberia. Russian Journal of Biological Invasions. 11(4). 363–371. 2 indexed citations
7.
Markov, Nikolay, et al.. (2019). Where winter rules: Modeling wild boar distribution in its north-eastern range. The Science of The Total Environment. 687. 1055–1064. 38 indexed citations
8.
Ho, Simon Y. W., John Davison, Egle Tammeleht, et al.. (2017). Large‐scale migrations of brown bears in Eurasia and to North America during the Late Pleistocene. Journal of Biogeography. 45(2). 394–405. 26 indexed citations
9.
Nitschka, Thomas & Nikolay Markov. (2015). Semi-Parametric Estimates of Taylor Rules for a Small, Open Economy – Evidence from Switzerland. German Economic Review. 17(4). 478–490. 3 indexed citations
10.
Markov, Nikolay, Inna Voloshina, Yongsu Park, et al.. (2015). Genetic diversity and genetic structure of the Siberian roe deer (Capreolus pygargus) populations from Asia. BMC Genetics. 16(1). 100–100. 21 indexed citations
11.
Massei, Giovanna, Jonas Kindberg, Alain Licoppe, et al.. (2014). Wild boar populations up, numbers of hunters down? A review of trends and implications for Europe. Pest Management Science. 71(4). 492–500. 561 indexed citations breakdown →
12.
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
14.
Markov, Nikolay, et al.. (2012). A Panel Smooth Transition Regression Model for the Determinants of Ination Expectations and Credibility in the ECB and the Recent Financial Crisis. 1 indexed citations
15.
Saarma, Urmas, Simon Y. W. Ho, Oliver G. Pybus, et al.. (2006). Mitogenetic structure of brown bears (Ursus arctos L.) in northeastern Europe and a new time frame for the formation of European brown bear lineages. Molecular Ecology. 16(2). 401–413. 76 indexed citations
16.
Markov, Nikolay, et al.. (2006). Analysis of wild boar (Sus scrofa L., 1758) distribution in Northeast of European Russia: A quantitative approach. Russian Journal of Theriology. 4(2). 115–122. 5 indexed citations
17.
Dobrinsky, Rumen, et al.. (2004). Firms' Price Markups and Returns to Scale in Imperfect Markets: Bulgaria and Hungary. SSRN Electronic Journal. 12 indexed citations
18.
Bolshakov, V. N., et al.. (2002). The State of Populations and Selective Hunting of Game Ungulates in the Middle Urals. Russian Journal of Ecology. 33(3). 178–185. 2 indexed citations
19.
Ackrill, Robert, Rumen Dobrinsky, Nikolay Markov, & Stephen Pudney. (2002). Social Security, Poverty and Economic Transition: An Analysis for Bulgaria 1992–96. Economics of Planning. 35(1). 19–46. 6 indexed citations
20.
Dobrinsky, Rumen, et al.. (2001). Mark-up Pricing in Bulgarian Manufacturing. SSRN Electronic Journal. 4 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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