Torsten Schwede
Impact in
- Molecular Biology top 0.05%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Microbial Metabolic Engineering and Bioproduction
- Biotechnology top 0.05%
- Enzyme Production and Characterization
Papers in
-
- Protein Structure and Dynamics 58
- RNA and protein synthesis mechanisms 17
- Microbial Metabolic Engineering and Bioproduction 15
- Bioinformatics and Genomic Networks 11
- Genomics and Phylogenetic Studies 10
- Genetics, Bioinformatics, and Biomedical Research 8
-
- Enzyme Structure and Function 43
- Co-authors
- Lorenza Bordoli (21 shared papers)Konstantin Arnold (10 shared papers)Jürgen Kopp (8 shared papers)Gabriel Studer (21 shared papers)Andrew Waterhouse (10 shared papers)Stefan Bienert (10 shared papers)Marco Biasini (7 shared papers)Martino Bertoni (7 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (33 papers)Bioinformatics (9 papers)Nucleic Acids Research (8 papers)Journal of Biological Chemistry (3 papers)Human Mutation (2 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Torsten Schwede
105 papers receiving 39.0k citations
Torsten Schwede's Hit Papers
Peers
Comparison fields: 5 of 182
- Molecular Biology 24.6k
- Biotechnology 2.4k
- Computational Theory and Mathematics 2.5k
- Infectious Diseases 2.7k
- Microbiology 874
Countries citing papers authored by Torsten Schwede
This map shows the geographic impact of Torsten Schwede'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 Torsten Schwede with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Schwede more than expected).
Fields of papers citing papers by Torsten Schwede
This network shows the impact of papers produced by Torsten Schwede. 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 Torsten Schwede. The network helps show where Torsten Schwede may publish in the future.
Co-authors
The 25 scholars most cited alongside Torsten Schwede, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SWISS-MODEL: homology modelling of protein structures and complexes Hit paper breakdown → | 2018 | 8999 |
| 2 | The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling Hit paper breakdown → | 2005 | 6034 |
| 3 | SWISS-MODEL: an automated protein homology-modeling server Hit paper breakdown → | 2003 | 4654 |
| 4 | SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information Hit paper breakdown → | 2014 | 3828 |
| 5 | Toward the estimation of the absolute quality of individual protein structure models Hit paper breakdown → | 2010 | 1754 |
| 6 | The SWISS-MODEL Repository and associated resources Hit paper breakdown → | 2008 | 1668 |
| 7 | Automated comparative protein structure modeling with SWISS‐MODEL and Swiss‐PdbViewer: A historical perspective Hit paper breakdown → | 2009 | 1612 |
| 8 | The SWISS-MODEL Repository—new features and functionality Hit paper breakdown → | 2016 | 1219 |
| 9 | Protein structure homology modeling using SWISS-MODEL workspace Hit paper breakdown → | 2008 | 1035 |
| 10 | lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests Hit paper breakdown → | 2013 | 707 |
| 11 | QMEAN server for protein model quality estimation Hit paper breakdown → | 2009 | 674 |
| 12 | QMEANDisCo—distance constraints applied on model quality estimation Hit paper breakdown → | 2019 | 669 |
| 13 | Modeling protein quaternary structure of homo- and hetero-oligomers beyond binary interactions by homology Hit paper breakdown → | 2017 | 603 |
| 14 | 2013 | 423 | |
| 15 | Critical assessment of methods of protein structure prediction (CASP)—Round XIII Hit paper breakdown → | 2019 | 339 |
| 16 | Critical assessment of methods of protein structure prediction (CASP)—Round Hit paper breakdown → | 2021 | 305 |
| 17 | 2009 | 240 | |
| 18 | 2017 | 231 | |
| 19 | 2013 | 201 | |
| 20 | ProMod3—A versatile homology modelling toolbox Hit paper breakdown → | 2021 | 193 |
About Torsten Schwede
Torsten Schwede is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Genetics and Sensory Systems, having authored 111 papers that have together received 39.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (58 papers), Enzyme Structure and Function (43 papers), RNA and protein synthesis mechanisms (17 papers), Microbial Metabolic Engineering and Bioproduction (15 papers), Computational Drug Discovery Methods (14 papers), Bioinformatics and Genomic Networks (11 papers), Genomics and Phylogenetic Studies (10 papers) and Genetics, Bioinformatics, and Biomedical Research (8 papers). The work is most often cited by research in Molecular Biology (24.6k citations), Biotechnology (2.4k citations), Computational Theory and Mathematics (2.5k citations), Infectious Diseases (2.7k citations) and Microbiology (874 citations). Torsten Schwede has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Lorenza Bordoli, Konstantin Arnold, Jürgen Kopp, Gabriel Studer, Andrew Waterhouse, Stefan Bienert, Marco Biasini, Martino Bertoni, Florian Kiefer and Pascal Benkert. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, Nucleic Acids Research, Journal of Biological Chemistry and Human Mutation.
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.