Małgorzata Tokarska
- Genetics top 5%
- Ecology top 10%
- Molecular Biology
- Parasitology top 10%
- Plant Science
- Co-authors
- Cino PertoldiJan M. WójcikRafał KowalczykMarta Kołodziej‐SobocińskaChristian BendixenVolker LoeschckeVivi Raundahl GregersenTorsten Nygaard Kristensen
- Topics
- Genetic and phenotypic traits in livestock (14 papers)Genetic diversity and population structure (12 papers)Genetic Mapping and Diversity in Plants and Animals (8 papers)
- Cited by
- GeneticsParasitologyEcology
In The Last Decade
Małgorzata Tokarska
33 papers receiving 697 citations
Peers
Comparison fields: 5 of 86
- Genetics 456
- Ecology 240
- Molecular Biology 125
- Parasitology 69
- Plant Science 64
Countries citing papers authored by Małgorzata Tokarska
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 144 | |
| 8 | 19 | |
| 9 | 23 | |
| 10 | 12 | |
| 11 | 22 | |
| 12 | 7 | |
| 13 | 20 | |
| 14 | 17 | |
| 15 | 119 | |
| 16 | 1 | |
| 17 | 29 | |
| 18 | Sequencing of caprine alpha-S1 casein cDNAs confirms the accuracy of the RT-PCR approach for detecting of the variants of the gene. | 2 |
| 19 | RT-PCR-based identification of genetic variants of alpha S1 casein in milking goats | 1 |
| 20 | 1 |
About Małgorzata Tokarska
Małgorzata Tokarska is a scholar working on Genetics, Ecology and Parasitology, having authored 35 papers that have together received 729 indexed citations. Recurring topics across this 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). The work is most often cited by research in Genetics (456 citations), Parasitology (69 citations) and Ecology (240 citations). Małgorzata Tokarska has collaborated with scholars based in Poland, Denmark and Russia. Frequent co-authors include Cino Pertoldi, Jan M. Wójcik, Rafał Kowalczyk, Marta Kołodziej‐Sobocińska, Christian Bendixen, Volker Loeschcke, Vivi Raundahl Gregersen, Torsten Nygaard Kristensen, Agata Kawałko and T. Marshall. Their work appears in journals such as Scientific Reports, Physiologia Plantarum and Heredity.
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.