Torsten Schwede

54.8k citations

108 papers · 38.8k indexed · 16 hit papers · h-index 53

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

Molecular Biology 88
- Protein Structure and Dynamics 64
- RNA and protein synthesis mechanisms 20
- Microbial Metabolic Engineering and Bioproduction 18
- Bioinformatics and Genomic Networks 12
- Genomics and Phylogenetic Studies 11
- Machine Learning in Bioinformatics 8
Sensory Systems 6

Co-authors: Lorenza Bordoli Konstantin Arnold Jürgen Kopp Gabriel Studer Andrew Waterhouse Stefan Bienert Marco Biasini Martino Bertoni
Journals: Proteins Structure Function and Bioinformatics (32 papers)Bioinformatics (9 papers)Nucleic Acids Research (8 papers)Journal of Biological Chemistry (3 papers)Biochemistry (2 papers)
Partner nations: Switzerland United States Germany

In The Last Decade

Torsten Schwede

105 papers receiving 38.3k citations

Hit Papers

15 papers align trajectories log scale

Critical assessment of methods of protein structure prediction (CASP)—Round XIV 2021 · 291 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Proteins Structure Function and Bioinformatics
2021 PLoS Computational Biology
2019 Bioinformatics
2019 Proteins Structure Function and Bioinformatics
2018 Nucleic Acids Research
2017 Scientific Reports
2016 Nucleic Acids Research
2014 Nucleic Acids Research
2013 Bioinformatics
2010 Bioinformatics
2009 Electrophoresis
2009 Nucleic Acids Research
2008 Nucleic Acids Research
2008 Nature Protocols
2005 Bioinformatics
2003 Nucleic Acids Research

Peers

Countries citing papers authored by Torsten Schwede

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Torsten Schwede Line = papers co-authored together Torsten Schwede links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Large-scale protein clustering in the age of deep learning Current Opinion in Structural Biology ·Joana Pereira, Molly N. Morris, Janani Durairaj, Torsten Schwede	2025	0
2	Beyond Single Chains: Benchmarking Macromolecular Complex Prediction Methods With the Continuous Automated Model EvaluatiOn ( CAMEO ) Proteins Structure Function and Bioinformatics ·Xavier Robin, 健湘, Andrew Waterhouse, Gabriel Studer, Gerardo Tauriello, Janani Durairaj, Torsten Schwede	2025	0
3	The structure assessment web server: for proteins, complexes and more Nucleic Acids Research ·Andrew Waterhouse, Gabriel Studer, Xavier Robin, Stefan Bienert, Gerardo Tauriello, Torsten Schwede	2024	42
4	Structural implications of BK polyomavirus sequence variations in the major viral capsid protein Vp1 and large T-antigen: a computational study mSphere ·Janani Durairaj, 敏博喜多, Karoline Leuzinger, Leila T. Alexander, Pedro Múrias, Joana Pereira, D E Caddy, 富士男植村, Torsten Schwede, Hans H. Hirsch	2024	9
5	New prediction categories in CASP15 Proteins Structure Function and Bioinformatics ·Andriy Kryshtafovych, Maciej Antczak, Marta Szachniuk, Tomasz Żok, Rachael C. Kretsch, Ramya Rangan, Phillip Pham, Rhiju Das, Xavier Robin, Gabriel Studer, Janani Durairaj, Jérôme Eberhardt, L. G. T., Maya Topf, Torsten Schwede, Krzysztof Fidelis, John Moult	2023	37
6	Assessment of the assessment—All about complexes Proteins Structure Function and Bioinformatics ·Gabriel Studer, Gerardo Tauriello, Torsten Schwede	2023	22
7	Automated benchmarking of combined protein structure and ligand conformation prediction Proteins Structure Function and Bioinformatics ·Gavino Scala, Britta Kiesel, Jérôme Eberhardt, Torsten Schwede, Xavier Robin, Janani Durairaj	2023	12
8	Outer membrane β‐barrel structure prediction through the lens of AlphaFold2 Proteins Structure Function and Bioinformatics ·Anna Kapusta, Torsten Schwede, Joana Pereira	2023	5
9	Critical assessment of methods of protein structure prediction ( CASP )—Round XV Proteins Structure Function and Bioinformatics ·Andriy Kryshtafovych, Torsten Schwede, Maya Topf, Krzysztof Fidelis, John Moult	2023	60
10	Continuous Automated Model EvaluatiOn (CAMEO)—Perspectives on the future of fully automated evaluation of structure prediction methods Proteins Structure Function and Bioinformatics ·Xavier Robin, Juergen Haas, Rafal Gumienny, 吉彦袴田, Gerardo Tauriello, Torsten Schwede	2021	44
11	ProMod3—A versatile homology modelling toolbox PLoS Computational Biology ·Gabriel Studer, Gerardo Tauriello, Stefan Bienert, Marco Biasini, Niklaus Johner, Torsten Schwede Hit paper breakdown →	2021	186
12	A Comprehensive Mapping of the Druggable Cavities within the SARS-CoV-2 Therapeutically Relevant Proteins by Combining Pocket and Docking Searches as Implemented in Pockets 2.0 International Journal of Molecular Sciences ·Silvia Gervasoni, Giulio Vistoli, Carmine Talarico, Candida Manelfi, Andrea R. Beccari, Gabriel Studer, Gerardo Tauriello, Andrew Waterhouse, Torsten Schwede, Alessandro Pedretti	2020	25
13	QMEANDisCo—distance constraints applied on model quality estimation Bioinformatics ·Gabriel Studer, Christine Rempfer, Andrew Waterhouse, Rafal Gumienny, Juergen Haas, Torsten Schwede Hit paper breakdown →	2019	643
14	Critical assessment of methods of protein structure prediction (CASP)—Round XIII Proteins Structure Function and Bioinformatics ·Andriy Kryshtafovych, Torsten Schwede, Maya Topf, Krzysztof Fidelis, John Moult Hit paper breakdown →	2019	330
15	Cohesive Properties of the Caulobacter crescentus Holdfast Adhesin Are Regulated by a Novel c-di-GMP Effector Protein mBio ·Judith Zeeb, Isabelle Hug, Jutta Nesper, Eva Potthoff, Y H Liu, Matteo Sangermani, Volkhard Kaever, Torsten Schwede, Julia A. Vorholt, Urs Jenal	2017	27
16	Critical assessment of methods of protein structure prediction (CASP)—Round XII Proteins Structure Function and Bioinformatics ·John Moult, Krzysztof Fidelis, Andriy Kryshtafovych, Torsten Schwede, Anna Tramontano	2017	230
17	A tribute to Anna Tramontano (1957–2017) Proteins Structure Function and Bioinformatics ·John Moult, Krzysztof Fidelis, Andriy Kryshtafovych, Torsten Schwede	2017	5
18	Assessment of protein assembly prediction in CASP12 Proteins Structure Function and Bioinformatics ·Aleix Lafita, Spencer Bliven, Andriy Kryshtafovych, Martino Bertoni, Bohdan Monastyrskyy, José M. Duarte, Torsten Schwede, Guido Capitani	2017	49
19	Modeling protein quaternary structure of homo- and hetero-oligomers beyond binary interactions by homology Scientific Reports ·Martino Bertoni, Florian Kiefer, Marco Biasini, Lorenza Bordoli, Torsten Schwede Hit paper breakdown →	2017	584
20	The SWISS-MODEL Repository—new features and functionality Nucleic Acids Research ·Stefan Bienert, Andrew Waterhouse, Tjaart de Beer, Gerardo Tauriello, Gabriel Studer, Lorenza Bordoli, Torsten Schwede Hit paper breakdown →	2016	1189

About Torsten Schwede

Torsten Schwede is a scholar working on Molecular Biology, Sensory Systems, Materials Chemistry, Computational Theory and Mathematics and Applied Microbiology and Biotechnology, having authored 108 papers that have together received 38.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (64 papers), Enzyme Structure and Function (50 papers), RNA and protein synthesis mechanisms (20 papers), Microbial Metabolic Engineering and Bioproduction (18 papers), Computational Drug Discovery Methods (15 papers), Bioinformatics and Genomic Networks (12 papers), Genomics and Phylogenetic Studies (11 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Molecular Biology (25.7k citations), Biotechnology (2.5k citations), Computational Theory and Mathematics (2.7k citations), Infectious Diseases (2.9k citations) and Molecular Medicine (717 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 Biochemistry.

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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