Silke Peter

7.6k total citations · 1 hit paper
75 papers, 3.0k citations indexed

About

Silke Peter is a scholar working on Molecular Medicine, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Silke Peter has authored 75 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Medicine, 28 papers in Molecular Biology and 22 papers in Infectious Diseases. Recurrent topics in Silke Peter's work include Antibiotic Resistance in Bacteria (33 papers), Bacterial Identification and Susceptibility Testing (12 papers) and Genomics and Phylogenetic Studies (11 papers). Silke Peter is often cited by papers focused on Antibiotic Resistance in Bacteria (33 papers), Bacterial Identification and Susceptibility Testing (12 papers) and Genomics and Phylogenetic Studies (11 papers). Silke Peter collaborates with scholars based in Germany, United States and Switzerland. Silke Peter's co-authors include Matthias Willmann, Ingo B. Autenrieth, Matthias Marschal, Philipp Oberhettinger, Jan Liese, Wichard Vogel, Michael Buhl, Daniela Dörfel, Erik C. Böttger and Harald Seifert and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Silke Peter

71 papers receiving 2.9k citations

Hit Papers

Matrix Metalloproteinases: Role In Arthritis 2006 2026 2012 2019 2006 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silke Peter Germany 24 965 742 593 528 519 75 3.0k
Kek Heng Chua Malaysia 34 1.1k 1.1× 222 0.3× 219 0.4× 531 1.0× 280 0.5× 214 3.5k
William T. Doerrler United States 34 1.3k 1.3× 432 0.6× 109 0.2× 654 1.2× 677 1.3× 57 4.0k
Payam Behzadi Iran 31 788 0.8× 1.1k 1.4× 91 0.2× 301 0.6× 889 1.7× 80 2.7k
Thomas Miethke Germany 34 1.4k 1.5× 129 0.2× 140 0.2× 615 1.2× 1.1k 2.2× 115 5.4k
Young Bae Kim South Korea 23 753 0.8× 1.4k 1.8× 69 0.1× 177 0.3× 568 1.1× 79 2.8k
Gerard J. Nau United States 31 1.6k 1.6× 157 0.2× 392 0.7× 622 1.2× 502 1.0× 63 3.7k
Xiaoling Ma China 30 1.6k 1.6× 462 0.6× 39 0.1× 926 1.8× 325 0.6× 116 3.3k
Teruo Kirikae Japan 37 1.5k 1.5× 753 1.0× 37 0.1× 1.3k 2.5× 807 1.6× 191 4.3k
Joshua Olson United States 31 1.2k 1.2× 365 0.5× 33 0.1× 696 1.3× 394 0.8× 53 2.9k
Abigail L. Manson United States 34 3.1k 3.2× 579 0.8× 48 0.1× 1.2k 2.3× 825 1.6× 62 5.3k

Countries citing papers authored by Silke Peter

Since Specialization
Citations

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

Fields of papers citing papers by Silke Peter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silke Peter

This figure shows the co-authorship network connecting the top 25 collaborators of Silke Peter. A scholar is included among the top collaborators of Silke Peter 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 Silke Peter. Silke Peter 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.
Alvarado, Alejandra, Timo Glatter, Nadine Hoffmann, et al.. (2025). Metabolic mutations reduce antibiotic susceptibility of E. coli by pathway-specific bottlenecks. Molecular Systems Biology. 21(3). 274–293. 2 indexed citations
3.
Büsch, Andreas, Philipp Oberhettinger, Matthias Marschal, et al.. (2025). Small intestinal bacterial overgrowth and dysbiosis in children with intestinal failure: A descriptive cohort study. Journal of Parenteral and Enteral Nutrition. 49(8). 964–974.
4.
Willmann, Matthias, et al.. (2025). Prognostic Value of a Multivariate Gut Microbiome Model for Progression from Normal Cognition to Mild Cognitive Impairment Within 4 Years. International Journal of Molecular Sciences. 26(10). 4735–4735.
5.
Noster, Janina, Kyriaki Xanthopoulou, Jonathan Jantsch, et al.. (2024). OXA-48-like carbapenemases in Proteus mirabilis – novel genetic environments and a challenge for detection. Emerging Microbes & Infections. 13(1). 2353310–2353310. 5 indexed citations
6.
Laske, Christoph, et al.. (2024). Prognostic Value of Gut Microbiome for Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Dementia within 4 Years: Results from the AlzBiom Study. International Journal of Molecular Sciences. 25(3). 1906–1906. 7 indexed citations
7.
D’Ambrosio, A, Vanessa M. Eichel, Alexandra Heininger, et al.. (2023). Forecasting local hospital bed demand for COVID-19 using on-request simulations. Scientific Reports. 13(1). 21321–21321. 6 indexed citations
8.
9.
Laske, Christoph, Stephan A. Müller, Oliver Preische, et al.. (2022). Signature of Alzheimer’s Disease in Intestinal Microbiome: Results From the AlzBiom Study. Frontiers in Neuroscience. 16. 792996–792996. 21 indexed citations
10.
Martak, Daniel, Houssein Gbaguidi‐Haore, Alexandre Meunier, et al.. (2022). High prevalence of Pseudomonas aeruginosa carriage in residents of French and German long-term care facilities. Clinical Microbiology and Infection. 28(10). 1353–1358. 16 indexed citations
11.
Peter, Silke, et al.. (2021). Transcriptomic Basis of Serum Resistance and Virulence Related Traits in XDR P. aeruginosa Evolved Under Antibiotic Pressure in a Morbidostat Device. Frontiers in Microbiology. 11. 619542–619542. 10 indexed citations
12.
Peter, Silke, Mattia Bosio, Daniela Bezdan, et al.. (2020). Tracking of Antibiotic Resistance Transfer and Rapid Plasmid Evolution in a Hospital Setting by Nanopore Sequencing. mSphere. 5(4). 62 indexed citations
13.
Peter, Silke, et al.. (2018). Molecular Characterization by of Bacterial Isolates and Physicochemical Assessment of Well Water Samples from Hostels at Osekita, Iworoko-Ekiti, Ekiti State. American journal of microbiological research. 6(1). 22–32. 8 indexed citations
14.
Willmann, Matthias, Matthias Steglich, Boyke Bunk, et al.. (2017). Rapid and Consistent Evolution of Colistin Resistance in Extensively Drug-Resistant Pseudomonas aeruginosa during Morbidostat Culture. Antimicrobial Agents and Chemotherapy. 61(9). 61 indexed citations
15.
Biehl, Lena M., Hartmut Bertz, Johannes R. Bogner, et al.. (2017). Screening and contact precautions – A survey on infection control measures for multidrug-resistant bacteria in German university hospitals. Antimicrobial Resistance and Infection Control. 6(1). 37–37. 9 indexed citations
17.
Willmann, Matthias, Mohamed El-Hadidi, Daniel H. Huson, et al.. (2015). Antibiotic Selection Pressure Determination through Sequence-Based Metagenomics. Antimicrobial Agents and Chemotherapy. 59(12). 7335–7345. 49 indexed citations
18.
Peter, Silke, Silke Polsfuß, Michael Hombach, et al.. (2011). Detection of AmpC Beta-Lactamase in Escherichia coli: Comparison of Three Phenotypic Confirmation Assays and Genetic Analysis. Journal of Clinical Microbiology. 49(8). 2924–2932. 124 indexed citations
19.
Lewis, Lisa A., Sanjay Ram, Sunita Gulati, et al.. (2007). Defining Targets for Complement Components C4b and C3b on the Pathogenic Neisseriae. Infection and Immunity. 76(1). 339–350. 38 indexed citations
20.
Ram, Sanjay, Andrew D. Cox, J. Claire Wright, et al.. (2003). Neisserial Lipooligosaccharide Is a Target for Complement Component C4b. Journal of Biological Chemistry. 278(51). 50853–50862. 81 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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