Sylvia Broeders

36 total papers · 1.3k total citations
25 papers, 868 citations indexed

About

Sylvia Broeders is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Sylvia Broeders has authored 25 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 15 papers in Molecular Biology and 5 papers in Biotechnology. Recurrent topics in Sylvia Broeders's work include Genetically Modified Organisms Research (11 papers), CRISPR and Genetic Engineering (6 papers) and Insect Resistance and Genetics (6 papers). Sylvia Broeders is often cited by papers focused on Genetically Modified Organisms Research (11 papers), CRISPR and Genetic Engineering (6 papers) and Insect Resistance and Genetics (6 papers). Sylvia Broeders collaborates with scholars based in Belgium, Germany and Italy. Sylvia Broeders's co-authors include Nancy H. C. Roosens, Ingrid Huber, Gilbert Berben, Marco Mazzara, Dany Morisset, Isabel Taverniers, Lutz Grohmann, Sigrid C. J. De Keersmaecker, Göetz Hensel and Jochen Kumlehn and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and Analytical Chemistry.

In The Last Decade

Sylvia Broeders

24 papers receiving 831 citations

Hit Papers

Guidelines for validation... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Sylvia Broeders 583 437 108 92 79 25 868
Jayne L. Brookman 510 0.9× 274 0.6× 80 0.7× 58 0.6× 62 0.8× 24 1.0k
Mittur N. Jagadish 451 0.8× 250 0.6× 116 1.1× 110 1.2× 93 1.2× 25 986
Laura S. Burrack 478 0.8× 240 0.5× 173 1.6× 91 1.0× 135 1.7× 19 868
Marco Mazzara 511 0.9× 374 0.9× 42 0.4× 107 1.2× 55 0.7× 22 715
Klaus Pietsch 494 0.8× 342 0.8× 58 0.5× 107 1.2× 21 0.3× 29 748
Nicolas Krezdorn 295 0.5× 349 0.8× 90 0.8× 85 0.9× 21 0.3× 32 786
Peter Brodmann 676 1.2× 392 0.9× 65 0.6× 129 1.4× 24 0.3× 28 949
Mireille Kallassy 435 0.7× 153 0.4× 105 1.0× 93 1.0× 33 0.4× 26 750
Andrew Tritt 530 0.9× 339 0.8× 71 0.7× 54 0.6× 83 1.1× 20 1.1k
Eunice J. Allan 463 0.8× 440 1.0× 127 1.2× 82 0.9× 24 0.3× 37 791

Countries citing papers authored by Sylvia Broeders

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Broeders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Broeders

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Broeders. A scholar is included among the top collaborators of Sylvia Broeders 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 Sylvia Broeders. Sylvia Broeders 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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