Matthias Steiert
- Molecular Biology top 10%
- Genetics top 5%
- Biomedical Engineering top 10%
- Biomaterials top 5%
- Infectious Diseases top 10%
- Co-authors
- Jürg P. RosenbuschRobin GhoshGabriele RummelJ.N. JansoniusTilman SchirmerR.A. PauptitSandra W. CowanJames E. Talmadge
- Topics
- Bacterial Genetics and Biotechnology (4 papers)Bacteriophages and microbial interactions (2 papers)Lipid Membrane Structure and Behavior (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Matthias Steiert
15 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.1k
- Genetics 533
- Biomedical Engineering 388
- Biomaterials 220
- Infectious Diseases 220
Countries citing papers authored by Matthias Steiert
This map shows the geographic impact of Matthias Steiert'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 Steiert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Steiert more than expected).
Fields of papers citing papers by Matthias Steiert
This network shows the impact of papers produced by Matthias Steiert. 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 Steiert. The network helps show where Matthias Steiert may publish in the future.
Co-authorship network of co-authors of Matthias Steiert
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Steiert. A scholar is included among the top collaborators of Matthias Steiert 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 Steiert. Matthias Steiert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 52 | |
| 6 | 171 | |
| 7 | 109 | |
| 8 | Dalbavancin (Biosearch Italia/Versicor). | 25 |
| 9 | 3 | |
| 10 | 62 | |
| 11 | 49 | |
| 12 | Overexpression of outer membrane porins in E. coli using pBluescript-derived vectors. | 7 |
| 13 | 16 | |
| 14 | 95 | |
| 15 | Crystal structures explain functional properties of two E. coli porinsbreakdown → | 1266 |
| 16 | 11 |
About Matthias Steiert
Matthias Steiert is a scholar working on Clinical Biochemistry, Microbiology and Genetics, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Molecular Medicine (184 citations), Endocrinology (113 citations) and Genetics (533 citations). Matthias Steiert has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jürg P. Rosenbusch, Robin Ghosh, Gabriele Rummel, J.N. Jansonius, Tilman Schirmer, R.A. Pauptit, Sandra W. Cowan, James E. Talmadge, Stephen Barry and Christopher J. Sunderland. Their work appears in journals such as Nature, Biochemical and Biophysical Research Communications and Journal of Bacteriology.
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.