Nadja Patenge

875 total citations
28 papers, 712 citations indexed

About

Nadja Patenge is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Nadja Patenge has authored 28 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Public Health, Environmental and Occupational Health and 11 papers in Infectious Diseases. Recurrent topics in Nadja Patenge's work include Streptococcal Infections and Treatments (12 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and RNA and protein synthesis mechanisms (5 papers). Nadja Patenge is often cited by papers focused on Streptococcal Infections and Treatments (12 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and RNA and protein synthesis mechanisms (5 papers). Nadja Patenge collaborates with scholars based in Germany, United States and Switzerland. Nadja Patenge's co-authors include Bernd Kreikemeyer, Tomas Fiedler, Dieter Oesterhelt, Adam G. W. Matthews, Marjorie A. Oettinger, Roberto Pappesch, Anette Jacob, Harald Engelhardt, Stephan C. Schuster and Thomas Eitinger and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Scientific Reports.

In The Last Decade

Nadja Patenge

27 papers receiving 700 citations

Peers

Nadja Patenge
Natalia Korotkova United States
Puey Ounjai Thailand
Heidi Wolfmeier Switzerland
Alexander J. Webb United Kingdom
Shauna M. McGillivray United States
Lisa Bowman United Kingdom
Michael J. Elmore United Kingdom
Natalia Korotkova United States
Nadja Patenge
Citations per year, relative to Nadja Patenge Nadja Patenge (= 1×) peers Natalia Korotkova

Countries citing papers authored by Nadja Patenge

Since Specialization
Citations

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

Fields of papers citing papers by Nadja Patenge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadja Patenge

This figure shows the co-authorship network connecting the top 25 collaborators of Nadja Patenge. A scholar is included among the top collaborators of Nadja Patenge 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 Nadja Patenge. Nadja Patenge 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.
Nguyen, Dat Tien, et al.. (2024). Synthetic mRNA delivered to human cells leads to expression of Cpl-1 bacteriophage-endolysin with activity against Streptococcus pneumoniae. Molecular Therapy — Nucleic Acids. 35(1). 102145–102145. 3 indexed citations
2.
Mikkat, Stefan, Michael Kreutzer, & Nadja Patenge. (2024). Dynamic Protein Phosphorylation in Streptococcus pyogenes during Growth, Stationary Phase, and Starvation. Microorganisms. 12(3). 621–621. 3 indexed citations
3.
Patenge, Nadja, et al.. (2021). Whole-Genome Sequence of Streptococcus pyogenes Strain 591, Belonging to the Genotype emm 49. Microbiology Resource Announcements. 10(43). e0081621–e0081621. 3 indexed citations
4.
Kreikemeyer, Bernd, et al.. (2020). Validation of Suitable Carrier Molecules and Target Genes for Antisense Therapy Using Peptide-Coupled Peptide Nucleic Acids (PNAs) in Streptococci. Methods in molecular biology. 2136. 339–345. 3 indexed citations
5.
Pappesch, Roberto, et al.. (2019). Influence of Different Cell-Penetrating Peptides on the Antimicrobial Efficiency of PNAs in Streptococcus pyogenes. Molecular Therapy — Nucleic Acids. 18. 444–454. 49 indexed citations
6.
Kreikemeyer, Bernd, et al.. (2018). A Glycine Riboswitch in Streptococcus pyogenes Controls Expression of a Sodium:Alanine Symporter Family Protein Gene. Frontiers in Microbiology. 9. 200–200. 15 indexed citations
7.
Pappesch, Roberto, Philipp Warnke, Stefan Mikkat, et al.. (2017). The Regulatory Small RNA MarS Supports Virulence of Streptococcus pyogenes. Scientific Reports. 7(1). 12241–12241. 30 indexed citations
8.
Patenge, Nadja. (2017). Quantification of DNA Damage and Repair in Mitochondrial, Nuclear, and Bacterial Genomes by Real-Time PCR. Methods in molecular biology. 1644. 159–166. 5 indexed citations
9.
Patenge, Nadja, et al.. (2015). Genome-wide analyses of small non-coding RNAs in streptococci. Frontiers in Genetics. 6. 189–189. 15 indexed citations
10.
Patenge, Nadja, Roberto Pappesch, Mobarak Abu Mraheil, et al.. (2013). Inhibition of Growth and Gene Expression by PNA-peptide Conjugates in Streptococcus pyogenes. Molecular Therapy — Nucleic Acids. 2. e132–e132. 64 indexed citations
11.
Patenge, Nadja, Thorsten Eggert, Bernd Kreikemeyer, et al.. (2012). Evaluation of antimicrobial effects of novel implant materials by testing the prevention of biofilm formation using a simple small scale medium-throughput growth inhibition assay. Biofouling. 28(3). 267–277. 24 indexed citations
12.
Patenge, Nadja, Tomas Fiedler, & Bernd Kreikemeyer. (2012). Common Regulators of Virulence in Streptococci. Current topics in microbiology and immunology. 368. 111–153. 33 indexed citations
13.
Patenge, Nadja, André Billion, Julia Rétey, et al.. (2012). Identification of novel growth phase- and media-dependent small non-coding RNAs in Streptococcus pyogenes M49 using intergenic tiling arrays. BMC Genomics. 13(1). 550–550. 26 indexed citations
14.
Siemens, Nikolai, Nadja Patenge, Juliane Otto, Tomas Fiedler, & Bernd Kreikemeyer. (2011). Streptococcus pyogenes M49 Plasminogen/Plasmin Binding Facilitates Keratinocyte Invasion via Integrin-Integrin-linked Kinase (ILK) Pathways and Protects from Macrophage Killing. Journal of Biological Chemistry. 286(24). 21612–21622. 54 indexed citations
15.
Schmitz, Ulf, et al.. (2010). Non-coding RNA detection methods combined to improve usability, reproducibility and precision. BMC Bioinformatics. 11(1). 491–491. 16 indexed citations
16.
Patenge, Nadja, et al.. (2001). The fla gene cluster is involved in the biogenesis of flagella in Halobacterium salinarum. Molecular Microbiology. 41(3). 653–663. 76 indexed citations
17.
Patenge, Nadja, et al.. (2000). The gene for a halophilic β‐galactosidase (bgaH) of Haloferax alicantei as a reporter gene for promoter analyses in Halobacterium salinarum. Molecular Microbiology. 36(1). 105–113. 39 indexed citations
18.
Patenge, Nadja & Jörg Soppa. (1999). Extensive proteolysis inhibits high-level production of eukaryal G protein-coupled receptors in the archaeonHaloferax volcanii. FEMS Microbiology Letters. 171(1). 27–35. 14 indexed citations
19.
Padberg, Frank, Masayuki Matsuda, Roland Fenk, et al.. (1999). Myasthenia gravis: selective enrichment of antiacetylcholine receptor antibody production in untransformed human B cell cultures. European Journal of Immunology. 29(11). 3538–3548. 2 indexed citations
20.
Dernedde, Jens, et al.. (1996). hyp Gene Products in Alcaligenes Eutrophus are part of a Hydrogenase‐Maturation System. European Journal of Biochemistry. 235(1-2). 351–358. 57 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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