Andrew Waterhouse

32.7k total citations · 5 hit papers
16 papers, 22.1k citations indexed

About

Andrew Waterhouse is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Andrew Waterhouse has authored 16 papers receiving a total of 22.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Materials Chemistry and 2 papers in Computational Theory and Mathematics. Recurrent topics in Andrew Waterhouse's work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Andrew Waterhouse is often cited by papers focused on Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Andrew Waterhouse collaborates with scholars based in Switzerland, United Kingdom and Australia. Andrew Waterhouse's co-authors include James B Procter, Geoffrey J. Barton, David Martin, Michèle Clamp, Torsten Schwede, Gabriel Studer, Stefan Bienert, Lorenza Bordoli, Martino Bertoni and Gerardo Tauriello and has published in prestigious journals such as Nature, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Andrew Waterhouse

15 papers receiving 21.9k citations

Hit Papers

SWISS-MODEL: homology modelling of prote... 2009 2026 2014 2020 2018 2009 2014 2016 2019 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Waterhouse Switzerland 14 13.9k 3.3k 2.4k 2.0k 1.6k 16 22.1k
Lorenza Bordoli Switzerland 20 15.3k 1.1× 3.2k 1.0× 2.3k 1.0× 2.0k 1.0× 2.0k 1.2× 23 24.1k
Weizhong Li China 21 12.9k 0.9× 4.5k 1.4× 2.8k 1.2× 1.5k 0.7× 1.7k 1.0× 62 22.2k
Geoffrey J. Barton United Kingdom 62 19.3k 1.4× 3.3k 1.0× 2.7k 1.1× 1.5k 0.7× 1.7k 1.0× 154 26.2k
Masahira Hattori Japan 78 16.8k 1.2× 2.9k 0.9× 3.5k 1.5× 3.1k 1.5× 2.6k 1.6× 333 28.0k
Sofia K. Forslund Germany 38 16.9k 1.2× 4.0k 1.2× 2.7k 1.1× 1.3k 0.6× 1.5k 0.9× 99 25.6k
Lawrence A. Kelley United Kingdom 22 10.0k 0.7× 2.6k 0.8× 1.9k 0.8× 1.2k 0.6× 1.1k 0.7× 40 15.3k
Ian Davis United States 23 20.8k 1.5× 1.8k 0.5× 3.1k 1.3× 2.4k 1.2× 2.2k 1.3× 56 28.9k
A. Joachimiak United States 72 14.6k 1.1× 1.6k 0.5× 3.0k 1.3× 1.6k 0.8× 2.2k 1.3× 392 22.3k
Bernhard Lohkamp Sweden 15 16.0k 1.2× 1.3k 0.4× 2.5k 1.0× 1.8k 0.9× 1.8k 1.1× 26 22.3k
W.B. Arendall United States 13 16.3k 1.2× 1.4k 0.4× 2.3k 0.9× 1.9k 0.9× 1.7k 1.1× 16 22.6k

Countries citing papers authored by Andrew Waterhouse

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Waterhouse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Waterhouse

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Waterhouse. A scholar is included among the top collaborators of Andrew Waterhouse 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 Andrew Waterhouse. Andrew Waterhouse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Robin, Xavier, Andrew Waterhouse, Gabriel Studer, et al.. (2025). Beyond Single Chains: Benchmarking Macromolecular Complex Prediction Methods With the Continuous Automated Model EvaluatiOn ( CAMEO ). Proteins Structure Function and Bioinformatics. 94(1). 403–413.
2.
Tauriello, Gerardo, et al.. (2025). ModelArchive: A Deposition Database for Computational Macromolecular Structural Models. Journal of Molecular Biology. 437(15). 168996–168996. 10 indexed citations
3.
Waterhouse, Andrew, Gabriel Studer, Xavier Robin, et al.. (2024). The structure assessment web server: for proteins, complexes and more. Nucleic Acids Research. 52(W1). W318–W323. 42 indexed citations
4.
Durairaj, Janani, Andrew Waterhouse, Toomas Mets, et al.. (2023). Uncovering new families and folds in the natural protein universe. Nature. 622(7983). 646–653. 78 indexed citations
5.
Gervasoni, Silvia, Giulio Vistoli, Carmine Talarico, et al.. (2020). 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. 21(14). 5152–5152. 25 indexed citations
6.
Studer, Gabriel, Christine Rempfer, Andrew Waterhouse, et al.. (2019). QMEANDisCo—distance constraints applied on model quality estimation. Bioinformatics. 36(6). 1765–1771. 643 indexed citations breakdown →
7.
Waterhouse, Andrew, Martino Bertoni, Stefan Bienert, et al.. (2018). SWISS-MODEL: homology modelling of protein structures and complexes. Nucleic Acids Research. 46(W1). W296–W303. 8674 indexed citations breakdown →
8.
Studer, Gabriel, Gerardo Tauriello, Stefan Bienert, et al.. (2018). Modeling of Protein Tertiary and Quaternary Structures Based on Evolutionary Information. Methods in molecular biology. 1851. 301–316. 13 indexed citations
9.
Bienert, Stefan, Andrew Waterhouse, Tjaart de Beer, et al.. (2016). The SWISS-MODEL Repository—new features and functionality. Nucleic Acids Research. 45(D1). D313–D319. 1189 indexed citations breakdown →
10.
Biasini, Marco, Stefan Bienert, Andrew Waterhouse, et al.. (2014). SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information. Nucleic Acids Research. 42(W1). W252–W258. 3800 indexed citations breakdown →
11.
Kawaji, Hideya, Jessica Severin, Marina Lizio, et al.. (2009). The FANTOM web resource: from mammalian transcriptional landscape to its dynamic regulation. Genome biology. 10(4). R40–R40. 65 indexed citations
12.
Severin, Jessica, Andrew Waterhouse, Hideya Kawaji, et al.. (2009). FANTOM4 EdgeExpressDB: an integrated database of promoters, genes, microRNAs, expression dynamics and regulatory interactions. Genome biology. 10(4). R39–R39. 55 indexed citations
13.
Waterhouse, Andrew, James B Procter, David Martin, Michèle Clamp, & Geoffrey J. Barton. (2009). Jalview Version 2—a multiple sequence alignment editor and analysis workbench. Bioinformatics. 25(9). 1189–1191. 7369 indexed citations breakdown →
14.
Thompson, Julie, Arnaud Muller, Andrew Waterhouse, et al.. (2006). MACSIMS : multiple alignment of complete sequences information management system. BMC Bioinformatics. 7(1). 318–318. 37 indexed citations
15.
Waterhouse, Andrew, James B Procter, David Martin, & Geoffrey J. Barton. (2005). Jalview: Visualization and Analysis of Molecular Sequences, Alignments, and Structures. BMC Bioinformatics. 6(S3). 20 indexed citations
16.
Baldock, Richard, Jonathan Bard, Albert Burger, et al.. (2003). EMAP and EMAGE: A Framework for Understanding Spatially Organized Data. Neuroinformatics. 1(4). 309–326. 96 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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