Beata Sznajder

25 total papers · 762 total citations
17 papers, 467 citations indexed

About

Beata Sznajder is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Beata Sznajder has authored 17 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 6 papers in Genetics and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Beata Sznajder's work include Wheat and Barley Genetics and Pathology (7 papers), Insect-Plant Interactions and Control (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Beata Sznajder is often cited by papers focused on Wheat and Barley Genetics and Pathology (7 papers), Insect-Plant Interactions and Control (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Beata Sznajder collaborates with scholars based in Australia, Netherlands and Germany. Beata Sznajder's co-authors include Jeffrey A. Harvey, Maurice W. Sabelis, Martijn Egas, Delphine Fleury, Fahimeh Shahinnia, Diane E. Mather, Ute Baumann, Melissa Garcia, Julien Le Roy and Joanne Tilbrook and has published in prestigious journals such as PLoS ONE, Theoretical and Applied Genetics and Planta.

In The Last Decade

Beata Sznajder

16 papers receiving 455 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Beata Sznajder 289 114 112 80 76 17 467
Lecong Zhou 229 0.8× 134 1.2× 107 1.0× 19 0.2× 26 0.3× 21 453
Khizer Hussain Afroze M 344 1.2× 77 0.7× 148 1.3× 8 0.1× 43 0.6× 32 495
Jill A. Johnston 199 0.7× 70 0.6× 189 1.7× 14 0.2× 13 0.2× 16 477
Bénédicte Fabre 257 0.9× 122 1.1× 42 0.4× 35 0.4× 43 0.6× 13 437
John Chandler 283 1.0× 149 1.3× 83 0.7× 11 0.1× 15 0.2× 18 431
Vikram E. Chhatre 104 0.4× 108 0.9× 281 2.5× 33 0.4× 22 0.3× 18 477
Anouk van ’t Padje 238 0.8× 86 0.8× 46 0.4× 96 1.2× 7 0.1× 10 499
Alberto Salas 392 1.4× 63 0.6× 80 0.7× 8 0.1× 6 0.1× 35 500
Aurélie Ducasse 426 1.5× 127 1.1× 51 0.5× 16 0.2× 14 0.2× 22 532
Huiru Jia 163 0.6× 282 2.5× 95 0.8× 356 4.5× 4 0.1× 20 499

Countries citing papers authored by Beata Sznajder

Since Specialization
Citations

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

Fields of papers citing papers by Beata Sznajder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beata Sznajder

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

All Works

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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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