Andrew Waterhouse
- Molecular Biology top 0.1%
- Plant Science top 0.5%
- Genetics top 0.5%
- Infectious Diseases top 0.5%
- Immunology top 1%
- Co-authors
- James B ProcterGeoffrey J. BartonDavid MartinMichèle ClampTorsten SchwedeGabriel StuderStefan BienertLorenza Bordoli
- Topics
- Protein Structure and Dynamics (8 papers)Enzyme Structure and Function (5 papers)Microbial Metabolic Engineering and Bioproduction (4 papers)
- Partner nations
- SwitzerlandUnited KingdomAustralia
In The Last Decade
Andrew Waterhouse
15 papers receiving 21.9k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Molecular Biology 13.9k
- Plant Science 3.3k
- Genetics 2.4k
- Infectious Diseases 2.0k
- Immunology 1.6k
Countries citing papers authored by Andrew Waterhouse
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 42 | |
| 4 | 78 | |
| 5 | 25 | |
| 6 | QMEANDisCo—distance constraints applied on model quality estimationbreakdown → | 643 |
| 7 | 13 | |
| 8 | SWISS-MODEL: homology modelling of protein structures and complexesbreakdown → | 8674 |
| 9 | The SWISS-MODEL Repository—new features and functionalitybreakdown → | 1189 |
| 10 | SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary informationbreakdown → | 3800 |
| 11 | 65 | |
| 12 | 55 | |
| 13 | Jalview Version 2—a multiple sequence alignment editor and analysis workbenchbreakdown → | 7369 |
| 14 | 37 | |
| 15 | 20 | |
| 16 | 96 |
About Andrew Waterhouse
Andrew Waterhouse is a scholar working on Molecular Biology, Information Systems and Management and Statistics, Probability and Uncertainty, having authored 16 papers that have together received 22.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Molecular Biology (13.9k citations), Biotechnology (1.3k citations) and Infectious Diseases (2.0k citations). Andrew Waterhouse has collaborated with scholars based in Switzerland, United Kingdom and Australia. Frequent 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. Their work appears in journals such as Nature, Nucleic Acids Research and Bioinformatics.
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.