Stefanie Trapmann

1.0k citations
34 papers · 635 · h-index 16

Impact in

Papers in

    • Genetically Modified Organisms Research 14
    • Plant Disease Resistance and Genetics 2
    • Insect Resistance and Genetics 9
    • CRISPR and Genetic Engineering 7
    • Molecular Biology Techniques and Applications 2

Stefanie Trapmann

33 papers receiving 600 citations

Peers

Stefanie Trapmann
Comparison fields: 5 of 102
  • Plant Science 244
  • Statistics, Probability and Uncertainty 45
  • Molecular Biology 361
  • Neurology 25
  • Food Science 53
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Citations per year

Countries citing papers authored by Stefanie Trapmann

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Trapmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefanie Trapmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stefanie Trapmann Line = papers co-authored together Stefanie Trapmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200170
2 201768
3 201655
4 201048
5 200538
6 201333
7 201233
8 200230
9 200728
10 200826
11 200423
12 201018
13 200916
14 200716
15 201916
16 200816
17 200714
18 200113
19 202012
20 20049

About Stefanie Trapmann

Stefanie Trapmann is a scholar working on Plant Science, Molecular Biology, Statistics, Probability and Uncertainty, Food Science and Biomedical Engineering, having authored 34 papers that have together received 635 indexed citations. Recurring topics across this work include Genetically Modified Organisms Research (14 papers), Insect Resistance and Genetics (9 papers), Scientific Measurement and Uncertainty Evaluation (7 papers), CRISPR and Genetic Engineering (7 papers), Pesticide Residue Analysis and Safety (4 papers), Plant Disease Resistance and Genetics (2 papers), Molecular Biology Techniques and Applications (2 papers) and Technology Assessment and Management (2 papers). The work is most often cited by research in Plant Science (244 citations), Statistics, Probability and Uncertainty (45 citations), Molecular Biology (361 citations), Neurology (25 citations) and Food Science (53 citations). Stefanie Trapmann has collaborated with scholars based in Belgium, United Kingdom and Italy. Frequent co-authors include Hendrik Emons, Philippe Corbisier, Heinz Schimmel, Thomas P. J. Linsinger, Ingrid Zegers, Sylvia Broeders, Thomas Keller, H. Schimmel, Liesbet Deprez and William A. Meyer. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Accreditation and Quality Assurance, Journal of Agricultural and Food Chemistry, Clinical Chemistry and European Food Research and Technology.

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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