Wilma Ziebuhr

5.2k total citations
77 papers, 4.0k citations indexed

About

Wilma Ziebuhr is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Wilma Ziebuhr has authored 77 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 54 papers in Infectious Diseases and 18 papers in Genetics. Recurrent topics in Wilma Ziebuhr's work include Antimicrobial Resistance in Staphylococcus (52 papers), Bacterial biofilms and quorum sensing (43 papers) and Bacterial Genetics and Biotechnology (15 papers). Wilma Ziebuhr is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (52 papers), Bacterial biofilms and quorum sensing (43 papers) and Bacterial Genetics and Biotechnology (15 papers). Wilma Ziebuhr collaborates with scholars based in Germany, South Africa and United Kingdom. Wilma Ziebuhr's co-authors include Jörg Hacker, Knut Ohlsen, Shwan Rachid, S. Hennig, Christine Heilmann, Wolfgang Witte, Svetlana Kozitskaya, Friedrich Götz, Karsten Becker and Michael Hecker and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Wilma Ziebuhr

75 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wilma Ziebuhr Germany 35 2.6k 2.2k 672 516 363 77 4.0k
Amer E. Villaruz United States 25 2.2k 0.8× 1.8k 0.8× 396 0.6× 772 1.5× 289 0.8× 32 3.9k
Sophie Jarraud France 38 3.6k 1.4× 2.7k 1.2× 648 1.0× 271 0.5× 411 1.1× 150 6.3k
James P. O’Gara Ireland 42 4.4k 1.7× 3.2k 1.4× 488 0.7× 1.1k 2.2× 406 1.1× 85 6.0k
Gordon Y. C. Cheung United States 35 3.5k 1.3× 2.7k 1.2× 445 0.7× 1.2k 2.3× 385 1.1× 54 5.9k
Philip M. Giffard Australia 37 1.5k 0.6× 1.4k 0.6× 759 1.1× 429 0.8× 344 0.9× 110 3.5k
Johannes K.‐M. Knobloch Germany 29 2.3k 0.9× 1.9k 0.8× 343 0.5× 623 1.2× 200 0.6× 93 3.6k
Cuong Vuong United States 34 3.5k 1.3× 2.4k 1.1× 346 0.5× 1.1k 2.2× 412 1.1× 47 5.3k
Bo Shopsin United States 26 2.2k 0.8× 2.9k 1.3× 1.1k 1.6× 333 0.6× 261 0.7× 72 3.7k
Greg A. Somerville United States 36 2.3k 0.9× 1.9k 0.9× 298 0.4× 389 0.8× 830 2.3× 57 3.6k

Countries citing papers authored by Wilma Ziebuhr

Since Specialization
Citations

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

Fields of papers citing papers by Wilma Ziebuhr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wilma Ziebuhr

This figure shows the co-authorship network connecting the top 25 collaborators of Wilma Ziebuhr. A scholar is included among the top collaborators of Wilma Ziebuhr 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 Wilma Ziebuhr. Wilma Ziebuhr 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.
Hübner, Andreas, et al.. (2025). Nanoscale Direct-to-Biology Optimization and Structural Insights into Selective S. aureus TrmD Inhibitors. Journal of Medicinal Chemistry. 68(24). 26246–26262.
2.
Wolf, Silver A., Birgit Walther, Thorsten Bischler, et al.. (2025). Emergence of transferable daptomycin resistance in Gram-positive bacteria. PubMed. 3(1). 33–33. 1 indexed citations
3.
Ziebuhr, Wilma, et al.. (2024). Structure Elucidation of the Daptomycin Products Generated upon Heterologous Expression of the Daptomycin Resistance Gene Cluster drcAB. ACS Infectious Diseases. 10(12). 4271–4278. 2 indexed citations
4.
Newton-Foot, Mae, et al.. (2024). Epidemiology and antibiotic resistance of staphylococci on commercial pig farms in Cape Town, South Africa. Scientific Reports. 14(1). 19747–19747. 3 indexed citations
5.
Ziebuhr, Wilma, et al.. (2024). Phenotypic and genotypic characterization of commensal staphylococci isolated from young volunteers in Alexandria, Egypt. Scientific Reports. 14(1). 14850–14850. 3 indexed citations
6.
Ziebuhr, Wilma, et al.. (2023). Development, validation and application of a selective and sensitive LC-MS/MS method for the quantification of daptomycin in a suspension of Mammaliicoccus sciuri in Mueller-Hinton broth. Journal of Pharmaceutical and Biomedical Analysis. 227. 115293–115293. 4 indexed citations
7.
Ziebuhr, Wilma, et al.. (2023). The solvent- and surface-dependent adsorption of the lipopeptide antibiotic daptomycin: The general necessity of adsorption tests. Journal of Pharmaceutical and Biomedical Analysis. 235. 115657–115657.
8.
Huber, Charlotte, Ivonne Stamm, Wilma Ziebuhr, et al.. (2020). Silence as a way of niche adaptation: mecC-MRSA with variations in the accessory gene regulator (agr) functionality express kaleidoscopic phenotypes. Scientific Reports. 10(1). 14787–14787. 14 indexed citations
9.
Schoenfelder, Sonja M.K., Ying Dong, Andrea T. Feßler, et al.. (2016). Antibiotic resistance profiles of coagulase-negative staphylococci in livestock environments. Veterinary Microbiology. 200. 79–87. 57 indexed citations
10.
Schoenfelder, Sonja M.K., Gabriella Marincola, Tobias Geiger, et al.. (2013). Methionine Biosynthesis in Staphylococcus aureus Is Tightly Controlled by a Hierarchical Network Involving an Initiator tRNA-Specific T-box Riboswitch. PLoS Pathogens. 9(9). e1003606–e1003606. 20 indexed citations
11.
Kozytska, Svitlana, et al.. (2010). Identification of specific genes in Staphylococcus aureus strains associated with bovine mastitis. Veterinary Microbiology. 145(3-4). 360–365. 26 indexed citations
12.
Becker, Karsten, Gabriele Bierbaum, Christof von Eiff, et al.. (2007). Understanding the physiology and adaptation of staphylococci: A post-genomic approach. International Journal of Medical Microbiology. 297(7-8). 483–501. 32 indexed citations
13.
Lorenz, Udo, Tina Schäfer, Wilma Ziebuhr, et al.. (2007). The alternative sigma factor sigma B of Staphylococcus aureus modulates virulence in experimental central venous catheter-related infections. Microbes and Infection. 10(3). 217–223. 28 indexed citations
14.
Neugebauer, Ute, U. Schmid, Knut Baumann, et al.. (2006). Characterization of bacterial growth and the influence of antibiotics by means of UV resonance Raman spectroscopy. Biopolymers. 82(4). 306–311. 58 indexed citations
15.
Rachid, Shwan, et al.. (2005). Induction of Staphylococcus Epidermidis Biofilm Formation by Environmental Factors: The Possible Involvement of the Alternative Transcription Factor SigB. Kluwer Academic Publishers eBooks. 485. 159–166. 22 indexed citations
16.
Ohlsen, Knut, Jörg Hacker, & Wilma Ziebuhr. (2004). Genome Variability in Gram-Positive Pathogenic Bacteria - Impact on Virulence and Evolution. Current Genomics. 5(7). 589–600. 1 indexed citations
17.
18.
Ohlsen, Knut, Thomas A. Ternes, Guido Werner, et al.. (2003). Impact of antibiotics on conjugational resistance gene transfer in Staphylococcus aureus in sewage. Environmental Microbiology. 5(8). 711–716. 94 indexed citations
19.
20.
Dobrindt, Ulrich, Gábor Nagy, Wilma Ziebuhr, et al.. (2000). Toxin genes on pathogenicity islands: impact for microbial evolution. International Journal of Medical Microbiology. 290(4-5). 307–311. 18 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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