Matthias Preuße

1.0k total citations
28 papers, 624 citations indexed

About

Matthias Preuße is a scholar working on Molecular Biology, Ecology and Molecular Medicine. According to data from OpenAlex, Matthias Preuße has authored 28 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Ecology and 8 papers in Molecular Medicine. Recurrent topics in Matthias Preuße's work include Bacterial biofilms and quorum sensing (13 papers), Antibiotic Resistance in Bacteria (8 papers) and Bacteriophages and microbial interactions (7 papers). Matthias Preuße is often cited by papers focused on Bacterial biofilms and quorum sensing (13 papers), Antibiotic Resistance in Bacteria (8 papers) and Bacteriophages and microbial interactions (7 papers). Matthias Preuße collaborates with scholars based in Germany, Denmark and United States. Matthias Preuße's co-authors include Susanne Häußler, Klaus Schughart, Jürgen Tomasch, Frank Peßler, Sven D. Willger, Denitsa Eckweiler, Frank Klawonn, Sarah Pohl, Sebastian Felgner and Siegfried Weiß and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Matthias Preuße

27 papers receiving 617 citations

Peers

Matthias Preuße
Jean-Guillaume Emond-Rhéault Canada
Dina A. Moustafa United States
Jerry D. King Canada
Heather L. Rocchetta Canada
Julia Garbe Sweden
Christine Aldridge United Kingdom
Vineetha M. Zacharia United States
Xiaoyou Liang United States
Joana A. Moscoso United Kingdom
Lydia M. Bogomolnaya United States
Jean-Guillaume Emond-Rhéault Canada
Matthias Preuße
Citations per year, relative to Matthias Preuße Matthias Preuße (= 1×) peers Jean-Guillaume Emond-Rhéault

Countries citing papers authored by Matthias Preuße

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Preuße

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Preuße

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

All Works

20 of 20 papers shown
1.
Gomez, Nicolas, Matthias Preuße, Alejandro Arce‐Rodríguez, et al.. (2025). tRNA hydroxylation is an epitranscriptomic modulator of metabolic states affecting Pseudomonas aeruginosa pathogenicity. Nucleic Acids Research. 53(14). 1 indexed citations
2.
Turnbull, Kathryn Jane, et al.. (2025). (p)ppGpp imposes graded transcriptional changes to impair motility and promote antibiotic tolerance in biofilms. npj Biofilms and Microbiomes. 11(1). 148–148.
3.
Preuße, Matthias, Mathias Müsken, Peter Braubach, et al.. (2025). Establishment and characterization of persistent Pseudomonas aeruginosa infections in air–liquid interface cultures of human airway epithelial cells. Infection and Immunity. 93(3). e0060324–e0060324. 2 indexed citations
4.
Preuße, Matthias, Nicolas Gomez, Mathias Müsken, et al.. (2024). tRNA epitranscriptome determines pathogenicity of the opportunistic pathogen Pseudomonas aeruginosa. Proceedings of the National Academy of Sciences. 121(11). e2312874121–e2312874121. 13 indexed citations
5.
Arce‐Rodríguez, Alejandro, et al.. (2022). Dual Effect: High NADH Levels Contribute to Efflux-Mediated Antibiotic Resistance but Drive Lethality Mediated by Reactive Oxygen Species. mBio. 13(1). e0243421–e0243421. 20 indexed citations
6.
Brunel, Jean Michel, Matthias Preuße, Sven D. Willger, et al.. (2022). The membrane-active polyaminoisoprenyl compound NV716 re-sensitizes Pseudomonas aeruginosa to antibiotics and reduces bacterial virulence. Communications Biology. 5(1). 871–871. 15 indexed citations
7.
Preuße, Matthias, et al.. (2020). Genetic determinants of Pseudomonas aeruginosa fitness during biofilm growth. Biofilm. 2. 100023–100023. 18 indexed citations
8.
Thöming, Janne G., Jürgen Tomasch, Matthias Preuße, et al.. (2020). Parallel evolutionary paths to produce more than one Pseudomonas aeruginosa biofilm phenotype. npj Biofilms and Microbiomes. 6(1). 2–2. 43 indexed citations
9.
Felgner, Sebastian, Matthias Preuße, Ulrike Beutling, et al.. (2020). Host-induced spermidine production in motile Pseudomonas aeruginosa triggers phagocytic uptake. eLife. 9. 9 indexed citations
10.
Grahl, Nora, Matthias Preuße, Alejandro Arce‐Rodríguez, et al.. (2019). Establishment of an induced memory response in Pseudomonas aeruginosa during infection of a eukaryotic host. The ISME Journal. 13(8). 2018–2030. 26 indexed citations
11.
Felgner, Sebastian, Vinay Pawar, Dino Kocijancic, et al.. (2019). The immunogenic potential of bacterial flagella for Salmonella‐mediated tumor therapy. International Journal of Cancer. 147(2). 448–460. 9 indexed citations
12.
Preuße, Matthias, Sven D. Willger, Peter Braubach, et al.. (2019). Genetically diverse Pseudomonas aeruginosa populations display similar transcriptomic profiles in a cystic fibrosis explanted lung. Nature Communications. 10(1). 3397–3397. 71 indexed citations
13.
Preuße, Matthias, Sebastian Bruchmann, Vinay Pawar, et al.. (2018). Importance of flagella in acute and chronic Pseudomonas aeruginosa infections. Environmental Microbiology. 21(3). 883–897. 19 indexed citations
14.
Tomasch, Jürgen, Hui Wang, Matthias Preuße, et al.. (2018). Packaging of Dinoroseobacter shibae DNA into Gene Transfer Agent Particles Is Not Random. Genome Biology and Evolution. 10(1). 359–369. 42 indexed citations
15.
Preuße, Matthias, Klaus Schughart, & Frank Peßler. (2017). Host Genetic Background Strongly Affects Pulmonary microRNA Expression before and during Influenza A Virus Infection. Frontiers in Immunology. 8. 246–246. 17 indexed citations
16.
Pohl, Sarah, Matthias Preuße, Nils Rugen, et al.. (2016). Unravelling post‐transcriptional PrmC‐dependent regulatory mechanisms in Pseudomonas aeruginosa. Environmental Microbiology. 18(10). 3583–3592. 6 indexed citations
17.
Preuße, Matthias, Klaus Schughart, Esther Wilk, Frank Klawonn, & Frank Peßler. (2015). Hematological parameters in the early phase of influenza A virus infection in differentially susceptible inbred mouse strains. BMC Research Notes. 8(1). 225–225. 5 indexed citations
18.
19.
Preuße, Matthias, Mohamed A. Tantawy, Frank Klawonn, Klaus Schughart, & Frank Peßler. (2013). Infection- and procedure-dependent effects on pulmonary gene expression in the early phase of influenza A virus infection in mice. BMC Microbiology. 13(1). 293–293. 29 indexed citations
20.
Akmatov, Manas K., et al.. (2011). E-mail-based symptomatic surveillance combined with self-collection of nasal swabs: a new tool for acute respiratory infection epidemiology. International Journal of Infectious Diseases. 15(11). e799–e803. 26 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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