Małgorzata Tokarska

1.3k total citations
35 papers, 729 citations indexed

About

Małgorzata Tokarska is a scholar working on Genetics, Ecology and Molecular Biology. According to data from OpenAlex, Małgorzata Tokarska has authored 35 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 12 papers in Ecology and 8 papers in Molecular Biology. Recurrent topics in Małgorzata Tokarska's work include Genetic and phenotypic traits in livestock (14 papers), Genetic diversity and population structure (12 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Małgorzata Tokarska is often cited by papers focused on Genetic and phenotypic traits in livestock (14 papers), Genetic diversity and population structure (12 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Małgorzata Tokarska collaborates with scholars based in Poland, Denmark and Russia. Małgorzata Tokarska's co-authors include Cino Pertoldi, Jan M. Wójcik, Rafał Kowalczyk, Marta Kołodziej‐Sobocińska, Volker Loeschcke, Vivi Raundahl Gregersen, Christian Bendixen, Torsten Nygaard Kristensen, Agata Kawałko and T. Marshall and has published in prestigious journals such as Scientific Reports, Physiologia Plantarum and Heredity.

In The Last Decade

Małgorzata Tokarska

33 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Małgorzata Tokarska Poland 16 456 240 125 69 64 35 729
Costas Stamatis Greece 18 494 1.1× 352 1.5× 364 2.9× 13 0.2× 53 0.8× 43 1.0k
Anna J. Phillips United States 15 134 0.3× 413 1.7× 96 0.8× 128 1.9× 32 0.5× 42 795
Mitsuhiro Iwasa Japan 12 81 0.2× 89 0.4× 132 1.1× 63 0.9× 79 1.2× 105 739
Dominik R. Laetsch United Kingdom 17 239 0.5× 177 0.7× 219 1.8× 44 0.6× 220 3.4× 26 808
P. Arduino Italy 12 120 0.3× 322 1.3× 95 0.8× 112 1.6× 129 2.0× 16 544
Stuart K. J. R. Auld United Kingdom 14 295 0.6× 214 0.9× 49 0.4× 82 1.2× 21 0.3× 21 600
Ben Sutherland Canada 17 250 0.5× 375 1.6× 242 1.9× 62 0.9× 43 0.7× 48 947
Gonghua Lin China 11 121 0.3× 192 0.8× 113 0.9× 63 0.9× 34 0.5× 51 542
Xiuxiang Meng China 13 148 0.3× 319 1.3× 168 1.3× 10 0.1× 34 0.5× 60 605
Trinidad Pérez Spain 16 634 1.4× 521 2.2× 195 1.6× 7 0.1× 113 1.8× 30 1.1k

Countries citing papers authored by Małgorzata Tokarska

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Tokarska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Tokarska

This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Tokarska. A scholar is included among the top collaborators of Małgorzata Tokarska 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 Małgorzata Tokarska. Małgorzata Tokarska 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.
Tokarska, Małgorzata, et al.. (2024). A reduced SNP panel optimised for non-invasive genetic assessment of a genetically impoverished conservation icon, the European bison. Scientific Reports. 14(1). 1875–1875. 7 indexed citations
4.
Kołodziej‐Sobocińska, Marta, et al.. (2020). Digestive tract nematode infections in non-native invasive American mink with the first molecular identification of Molineus patens. International Journal for Parasitology Parasites and Wildlife. 14. 48–52. 7 indexed citations
5.
Kowalczyk, Rafał, et al.. (2020). Multispecies reservoir of Spirometra erinaceieuropaei (Cestoda: Diphyllobothridae) in carnivore communities in north-eastern Poland. Parasites & Vectors. 13(1). 560–560. 5 indexed citations
6.
Druet, Tom, Kamil Oleński, Laurence Flori, et al.. (2020). Genomic Footprints of Recovery in the European Bison. Journal of Heredity. 111(2). 194–203. 17 indexed citations
7.
Wu, Dong‐Dong, Xiangdong Ding, Sheng Wang, et al.. (2018). Pervasive introgression facilitated domestication and adaptation in the Bos species complex. Nature Ecology & Evolution. 2(7). 1139–1145. 144 indexed citations
8.
Tokarska, Małgorzata, et al.. (2018). The first case of genetically confirmed sparganosis (Spirometra erinaceieuropaei) in European reptiles. Parasitology Research. 117(11). 3659–3662. 19 indexed citations
9.
Kołodziej‐Sobocińska, Marta, et al.. (2018). Update of the helminth fauna in Eurasian lynx (Lynx lynx) in Poland. Parasitology Research. 117(8). 2613–2621. 23 indexed citations
10.
Kołodziej‐Sobocińska, Marta, et al.. (2016). Sparganosis in wild boar ( Sus scrofa ) – Implications for veterinarians, hunters, and consumers. Veterinary Parasitology. 227. 115–117. 22 indexed citations
11.
Oleński, Kamil, et al.. (2015). Genome-wide association study for posthitis in the free-living population of European bison (Bison bonasus). Biology Direct. 10(1). 2–2. 7 indexed citations
12.
Kołodziej‐Sobocińska, Marta, Małgorzata Tokarska, & Rafał Kowalczyk. (2014). The first report of sparganosis (Spirometra sp.) in Eurasian badger (Meles meles). Parasitology International. 63(2). 397–399. 20 indexed citations
13.
Pertoldi, Cino, Małgorzata Tokarska, Jan M. Wójcik, et al.. (2009). Depauperate genetic variability detected in the American and European bison using genomic techniques. Biology Direct. 4(1). 48–48. 17 indexed citations
14.
Tokarska, Małgorzata, T. Marshall, Rafał Kowalczyk, et al.. (2009). Effectiveness of microsatellite and SNP markers for parentage and identity analysis in species with low genetic diversity: the case of European bison. Heredity. 103(4). 326–332. 119 indexed citations
15.
Tokarska, Małgorzata, et al.. (2009). Over-Seasonal and Sex-Independent Expression of Kappa Casein Gene (CSN3) in Mammalian Blood Lymphocytes. Biochemical Genetics. 47(7-8). 602–608. 1 indexed citations
16.
Wójcik, Jan M., et al.. (2008). Post‐bottleneck mtDNA diversity in a free‐living population of European bison: implications for conservation. Journal of Zoology. 277(1). 81–87. 29 indexed citations
17.
Tokarska, Małgorzata, et al.. (2001). Sequencing of caprine alpha-S1 casein cDNAs confirms the accuracy of the RT-PCR approach for detecting of the variants of the gene.. PubMed. 42(4). 479–91. 2 indexed citations
18.
Tokarska, Małgorzata, Dorota Szumska, & Tadeusz Dobosz. (1999). RT-PCR-based identification of genetic variants of alpha S1 casein in milking goats. Journal of Applied Genetics. 40(4). 335–342. 1 indexed citations
20.
Tokarska, Małgorzata, et al.. (1993). In Vitro Slow Fluctuation in Horseradish Peroxidase Activity. Chronobiology International. 10(4). 238–243. 1 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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