Stefan Bienert
Impact in
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- Photosynthetic Processes and Mechanisms
- Biotechnology top 0.2%
- Enzyme Production and Characterization
Papers in
-
- Protein Structure and Dynamics 9
- Microbial Metabolic Engineering and Bioproduction 6
- Bioinformatics and Genomic Networks 4
- RNA and protein synthesis mechanisms 3
- Glycosylation and Glycoproteins Research 1
- RNA modifications and cancer 1
- DNA and Nucleic Acid Chemistry 1
-
- Enzyme Structure and Function 3
- Co-authors
- Torsten SchwedeGabriel StuderAndrew WaterhouseLorenza BordoliMartino BertoniGerardo TaurielloTjaart de BeerRosalba Lepore
- Journals
- Nucleic Acids Research (4 papers)Bioinformatics (2 papers)Nature Methods (1 paper)PLoS Computational Biology (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Stefan Bienert
11 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Molecular Biology 8.7k
- Biotechnology 931
- Infectious Diseases 1.4k
- Molecular Medicine 304
- Microbiology 346
Countries citing papers authored by Stefan Bienert
This map shows the geographic impact of Stefan Bienert'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 Stefan Bienert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Bienert more than expected).
Fields of papers citing papers by Stefan Bienert
This network shows the impact of papers produced by Stefan Bienert. 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 Stefan Bienert. The network helps show where Stefan Bienert may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Bienert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 10 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 42 | |
| 5 | ProMod3—A versatile homology modelling toolbox Hit paper breakdown → | 2021 | 186 |
| 6 | 2018 | 13 | |
| 7 | SWISS-MODEL: homology modelling of protein structures and complexes Hit paper breakdown → | 2018 | 8674 |
| 8 | The SWISS-MODEL Repository—new features and functionality Hit paper breakdown → | 2016 | 1189 |
| 9 | SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information Hit paper breakdown → | 2014 | 3800 |
| 10 | 2013 | 109 | |
| 11 | 2013 | 2 | |
| 12 | 2012 | 25 |
About Stefan Bienert
Stefan Bienert is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Pharmacology and Ecology, having authored 12 papers that have together received 14.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Bioinformatics and Genomic Networks (4 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers), Glycosylation and Glycoproteins Research (1 paper), RNA modifications and cancer (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Molecular Biology (8.7k citations), Biotechnology (931 citations), Infectious Diseases (1.4k citations), Molecular Medicine (304 citations) and Microbiology (346 citations). Stefan Bienert has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Torsten Schwede, Gabriel Studer, Andrew Waterhouse, Lorenza Bordoli, Martino Bertoni, Gerardo Tauriello, Tjaart de Beer, Rosalba Lepore, Rafal Gumienny and Christine Rempfer. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Nature Methods, PLoS Computational Biology and Journal of Molecular Biology.
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.