Matthias Steglich

1.0k total citations
22 papers, 546 citations indexed

About

Matthias Steglich is a scholar working on Molecular Biology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Matthias Steglich has authored 22 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Infectious Diseases and 5 papers in Molecular Medicine. Recurrent topics in Matthias Steglich's work include Genomics and Phylogenetic Studies (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Antibiotic Resistance in Bacteria (5 papers). Matthias Steglich is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Antibiotic Resistance in Bacteria (5 papers). Matthias Steglich collaborates with scholars based in Germany, Denmark and Spain. Matthias Steglich's co-authors include Ulrich Nübel, Guido Werner, Stephan Fuchs, Boyke Bunk, Laura Becker, Thomas Dandekar, José R. Penadés, Barbara M. Bröker, Volker Winstel and Richard A. Neher and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Matthias Steglich

21 papers receiving 539 citations

Peers

Matthias Steglich
Johanna C. Braat Netherlands
Xiang Sun China
Rosslyn Maybank United States
Manish Boolchandani United States
Jason Stam United States
Matthias Steglich
Citations per year, relative to Matthias Steglich Matthias Steglich (= 1×) peers Yongpeng Shang

Countries citing papers authored by Matthias Steglich

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Steglich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Steglich

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Steglich. A scholar is included among the top collaborators of Matthias Steglich 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 Steglich. Matthias Steglich 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.
Szafrański, Szymon P., Matthias Steglich, Ines Yang, et al.. (2025). The Submucosal Microbiome Correlates with Peri-implantitis Severity. Journal of Dental Research. 105(3). 313–322. 1 indexed citations
2.
Joshi, Amruta, Szymon P. Szafrański, Matthias Steglich, et al.. (2025). Integrative microbiome- and metatranscriptome-based analyses reveal diagnostic biomarkers for peri-implantitis. npj Biofilms and Microbiomes. 11(1). 175–175.
3.
Szafrański, Szymon P., Jasmin Grischke, Matthias Steglich, et al.. (2024). Structure and composition of early biofilms formed on dental implants are complex, diverse, subject-specific and dynamic. npj Biofilms and Microbiomes. 10(1). 155–155. 11 indexed citations
4.
Cescon, Matilde, Giovanna Gambarotta, Francesca Anselmi, et al.. (2024). Gut microbiota depletion delays somatic peripheral nerve development and impairs neuromuscular junction maturation. Gut Microbes. 16(1). 2363015–2363015. 9 indexed citations
5.
Fu, Chengzhang, Matthias Steglich, Boyke Bunk, et al.. (2023). Bursts in biosynthetic gene cluster transcription are accompanied by surges of natural compound production in the myxobacterium Sorangium sp.. Microbial Biotechnology. 16(5). 1054–1068. 4 indexed citations
6.
Junker, Vera, et al.. (2019). Rapid cell division of Staphylococcus aureus during colonization of the human nose. BMC Genomics. 20(1). 229–229. 23 indexed citations
7.
García‐Fernández, Sergio, Matthias Steglich, Aitor Gonzaga, et al.. (2019). Whole-genome sequencing reveals nosocomial Clostridioides difficile transmission and a previously unsuspected epidemic scenario. Scientific Reports. 9(1). 6959–6959. 22 indexed citations
8.
Berger, Fabian K., Sören L. Becker, Rossella Baldan, et al.. (2019). Hospital outbreak due to Clostridium difficile ribotype 018 (RT018) in Southern Germany. International Journal of Medical Microbiology. 309(3-4). 189–193. 14 indexed citations
9.
Kramer, Jan S., Bardya Djahanschiri, Paul G. Higgins, et al.. (2019). Identification of the novel class D β-lactamase OXA-679 involved in carbapenem resistance in Acinetobacter calcoaceticus. Journal of Antimicrobial Chemotherapy. 74(6). 1494–1502. 8 indexed citations
10.
Becker, Laura, Stephan Fuchs, Yvonne Pfeifer, et al.. (2018). Whole Genome Sequence Analysis of CTX-M-15 Producing Klebsiella Isolates Allowed Dissecting a Polyclonal Outbreak Scenario. Frontiers in Microbiology. 9. 322–322. 38 indexed citations
11.
Steglich, Matthias, Julia Hofmann, Johannes Sikorski, et al.. (2018). Convergent Loss of ABC Transporter Genes From Clostridioides difficile Genomes Is Associated With Impaired Tyrosine Uptake and p-Cresol Production. Frontiers in Microbiology. 9. 23 indexed citations
12.
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
13.
Gerlach, Roman G., Steffi Walter, Michael McClelland, et al.. (2017). Comparative whole genome analysis of three consecutive Salmonella diarizonae isolates. International Journal of Medical Microbiology. 307(8). 542–551. 15 indexed citations
14.
Steglich, Matthias & Ulrich Nübel. (2017). The challenge of detecting indels in bacterial genomes from short-read sequencing data. Journal of Biotechnology. 250. 11–15. 6 indexed citations
15.
Becker, Laura, Matthias Steglich, Stephan Fuchs, Guido Werner, & Ulrich Nübel. (2016). Comparison of six commercial kits to extract bacterial chromosome and plasmid DNA for MiSeq sequencing. Scientific Reports. 6(1). 28063–28063. 46 indexed citations
17.
Nitsche-Schmitz, D. Patric, Matthias Steglich, Janina Dordel, et al.. (2015). Whole genome sequence typing and microarray profiling of nasal and blood stream methicillin-resistant Staphylococcus aureus isolates: Clues to phylogeny and invasiveness. Infection Genetics and Evolution. 36. 475–482. 4 indexed citations
18.
Steglich, Matthias, Andreas Nitsche, Lutz von Müller, et al.. (2015). Tracing the Spread of Clostridium difficile Ribotype 027 in Germany Based on Bacterial Genome Sequences. PLoS ONE. 10(10). e0139811–e0139811. 21 indexed citations
19.
Bender, Jennifer K., Birgit Strommenger, Matthias Steglich, et al.. (2015). Linezolid resistance in clinical isolates of Staphylococcus epidermidis from German hospitals and characterization of two cfr-carrying plasmids. Journal of Antimicrobial Chemotherapy. 70(6). 1630–1638. 58 indexed citations
20.
Winstel, Volker, Chunguang Liang, Patricia Sanchez‐Carballo, et al.. (2013). Wall teichoic acid structure governs horizontal gene transfer between major bacterial pathogens. Nature Communications. 4(1). 2345–2345. 105 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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