Svenja Meyer

4.9k total citations · 2 hit papers
16 papers, 3.9k citations indexed

About

Svenja Meyer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Svenja Meyer has authored 16 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Immunology. Recurrent topics in Svenja Meyer's work include Microbial Metabolic Engineering and Bioproduction (4 papers), Gene expression and cancer classification (3 papers) and Bioinformatics and Genomic Networks (2 papers). Svenja Meyer is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (4 papers), Gene expression and cancer classification (3 papers) and Bioinformatics and Genomic Networks (2 papers). Svenja Meyer collaborates with scholars based in Germany, Japan and Argentina. Svenja Meyer's co-authors include Axel Nagel, Oliver Thimm, Mark Stitt, Yves Gibon, Joachim Selbig, Oliver E. Bläsing, Peter Krüger, Seung Y. Rhee, Björn Usadel and Natalia Palacios‐Rojas and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.

In The Last Decade

Svenja Meyer

16 papers receiving 3.8k citations

Hit Papers

mapman : a user‐driven tool to display genomics data sets... 2004 2026 2011 2018 2004 2005 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Svenja Meyer Germany 13 2.9k 2.1k 191 157 138 16 3.9k
Daniel R. Bush United States 33 3.1k 1.1× 1.6k 0.7× 234 1.2× 105 0.7× 213 1.5× 53 4.1k
Oliver Thimm Germany 11 4.2k 1.5× 2.6k 1.2× 215 1.1× 150 1.0× 104 0.8× 11 5.2k
Frédéric Domergue France 36 3.5k 1.2× 3.1k 1.5× 133 0.7× 195 1.2× 256 1.9× 71 5.6k
Francisco M. Cánovas Spain 40 3.0k 1.1× 2.3k 1.1× 230 1.2× 122 0.8× 112 0.8× 132 4.0k
Woe‐Yeon Kim South Korea 36 4.4k 1.5× 2.9k 1.4× 112 0.6× 121 0.8× 116 0.8× 118 5.2k
Youko Oono Japan 21 3.9k 1.4× 2.5k 1.2× 294 1.5× 192 1.2× 61 0.4× 39 4.7k
Shaobai Huang Australia 33 2.6k 0.9× 1.9k 0.9× 191 1.0× 143 0.9× 56 0.4× 64 3.9k
Jérôme Joubès France 33 4.5k 1.6× 2.9k 1.4× 123 0.6× 265 1.7× 95 0.7× 49 5.3k
Claudia Jonak Austria 35 5.8k 2.0× 3.8k 1.8× 190 1.0× 236 1.5× 81 0.6× 64 6.8k
Oliver E. Bläsing Germany 18 4.4k 1.5× 3.0k 1.4× 234 1.2× 198 1.3× 116 0.8× 22 5.6k

Countries citing papers authored by Svenja Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Svenja Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Svenja Meyer

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

All Works

16 of 16 papers shown
1.
Opdensteinen, Patrick, Svenja Meyer, & Johannes F. Buyel. (2021). Nicotiana spp. for the Expression and Purification of Functional IgG3 Antibodies Directed Against the Staphylococcus aureus Alpha Toxin. SHILAP Revista de lepidopterología. 3. 12 indexed citations
2.
Erb, Ulrike, Svenja Meyer, Hiroshi Ishikawa, et al.. (2020). The Impact of Small Extracellular Vesicles on Lymphoblast Trafficking across the Blood-Cerebrospinal Fluid Barrier In Vitro. International Journal of Molecular Sciences. 21(15). 5491–5491. 10 indexed citations
3.
März, Martin, Svenja Meyer, Marita Meurer, et al.. (2019). Optimized cultivation of porcine choroid plexus epithelial cells, a blood–cerebrospinal fluid barrier model, for studying granulocyte transmigration. Laboratory Investigation. 99(8). 1245–1255. 12 indexed citations
4.
Tehrani, Hamed Hosseinpour, Johanna Becker, Isabel Bator, et al.. (2019). Integrated strain- and process design enable production of 220 g L−1 itaconic acid with Ustilago maydis. Biotechnology for Biofuels. 12(1). 263–263. 62 indexed citations
5.
März, Martin, Svenja Meyer, Ulrike Erb, et al.. (2018). Pediatric acute lymphoblastic leukemia—Conquering the CNS across the choroid plexus. Leukemia Research. 71. 47–54. 18 indexed citations
6.
Geiser, Elena, Hamed Hosseinpour Tehrani, Svenja Meyer, Lars M. Blank, & Nick Wierckx. (2018). Evolutionary freedom in the regulation of the conserved itaconate cluster by Ria1 in related Ustilaginaceae. SHILAP Revista de lepidopterología. 5(1). 14–14. 15 indexed citations
7.
Urbańczyk-Wochniak, Ewa, Björn Usadel, Oliver Thimm, et al.. (2006). Conversion of MapMan to Allow the Analysis of Transcript Data from Solanaceous Species: Effects of Genetic and Environmental Alterations in Energy Metabolism in the Leaf. Plant Molecular Biology. 60(5). 773–792. 91 indexed citations
8.
Usadel, Björn, Axel Nagel, Oliver Thimm, et al.. (2005). Extension of the Visualization Tool MapMan to Allow Statistical Analysis of Arrays, Display of Coresponding Genes, and Comparison with Known Responses. PLANT PHYSIOLOGY. 138(3). 1195–1204. 529 indexed citations breakdown →
9.
Bürkle, Lukas, Svenja Meyer, Hakan Dortay, Hans Lehrach, & Alexander Heyl. (2005). In vitro recombination cloning of entire cDNA libraries in Arabidopsis thaliana and its application to the yeast two-hybrid system. Functional & Integrative Genomics. 5(3). 175–183. 16 indexed citations
10.
Hultschig, Claus, Justin Lee, Svenja Meyer, et al.. (2005). High Throughput Identification of Potential Arabidopsis Mitogen-activated Protein Kinases Substrates. Molecular & Cellular Proteomics. 4(10). 1558–1568. 197 indexed citations
11.
Thimm, Oliver, Oliver E. Bläsing, Yves Gibon, et al.. (2004). mapman : a user‐driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes. The Plant Journal. 37(6). 914–939. 2700 indexed citations breakdown →
12.
Meyer, Svenja. (2004). PoMaMo--a comprehensive database for potato genome data. Nucleic Acids Research. 33(Database issue). D666–D670. 29 indexed citations
13.
Rickert, Andreas, Jeong Han Kim, Svenja Meyer, et al.. (2003). First‐generation SNP/InDel markers tagging loci for pathogen resistance in the potato genome. Plant Biotechnology Journal. 1(6). 399–410. 57 indexed citations
14.
Hansen, Immo A., et al.. (2002). Complete sequence, expression and evolution of two members of the hexamerin protein family during the larval development of the rice moth, Corcyra cephalonica. Insect Biochemistry and Molecular Biology. 33(1). 73–80. 15 indexed citations
15.
Meyer, Svenja, Ralf Moser, Alexander Neef, Ulf Ståhl, & Peter Kämpfer. (1999). Differential detection of key enzymes of polyaromatic-hydrocarbon-degrading bacteria using PCR and gene probes. Microbiology. 145(7). 1731–1741. 105 indexed citations
16.
Kämpfer, Peter, Svenja Meyer, & Hans E. Müller. (1997). Characterization of Buttiauxella and Kluyvera Species by Analysis of Whole Cell Fatty Acid Patterns. Systematic and Applied Microbiology. 20(4). 566–571. 11 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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