Gerardo Tauriello
- Molecular Biology top 0.5%
- Plant Science top 1%
- Infectious Diseases top 1%
- Genetics top 2%
- Immunology top 5%
- Co-authors
- Torsten SchwedeGabriel StuderStefan BienertAndrew WaterhouseLorenza BordoliTjaart de BeerRafal GumiennyMartino Bertoni
- Topics
- Protein Structure and Dynamics (12 papers)Bioinformatics and Genomic Networks (5 papers)Microbial Metabolic Engineering and Bioproduction (5 papers)
- Partner nations
- SwitzerlandUnited StatesEstonia
In The Last Decade
Gerardo Tauriello
21 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 6.4k
- Plant Science 1.4k
- Infectious Diseases 1.1k
- Genetics 938
- Immunology 778
Countries citing papers authored by Gerardo Tauriello
This map shows the geographic impact of Gerardo Tauriello'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 Gerardo Tauriello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerardo Tauriello more than expected).
Fields of papers citing papers by Gerardo Tauriello
This network shows the impact of papers produced by Gerardo Tauriello. 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 Gerardo Tauriello. The network helps show where Gerardo Tauriello may publish in the future.
Co-authorship network of co-authors of Gerardo Tauriello
This figure shows the co-authorship network connecting the top 25 collaborators of Gerardo Tauriello. A scholar is included among the top collaborators of Gerardo Tauriello 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 Gerardo Tauriello. Gerardo Tauriello 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 | 1 | |
| 4 | 42 | |
| 5 | 22 | |
| 6 | 20 | |
| 7 | 78 | |
| 8 | 44 | |
| 9 | ProMod3—A versatile homology modelling toolboxbreakdown → | 186 |
| 10 | 25 | |
| 11 | 29 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | SWISS-MODEL: homology modelling of protein structures and complexesbreakdown → | 8674 |
| 15 | The SWISS-MODEL Repository—new features and functionalitybreakdown → | 1189 |
| 16 | 20 | |
| 17 | 34 | |
| 18 | 23 | |
| 19 | 4 | |
| 20 | 60 |
About Gerardo Tauriello
Gerardo Tauriello is a scholar working on Modeling and Simulation, Computational Theory and Mathematics and Molecular Biology, having authored 22 papers that have together received 10.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Molecular Biology (6.4k citations), Biotechnology (654 citations) and Infectious Diseases (1.1k citations). Gerardo Tauriello has collaborated with scholars based in Switzerland, United States and Estonia. Frequent co-authors include Torsten Schwede, Gabriel Studer, Stefan Bienert, Andrew Waterhouse, Lorenza Bordoli, Tjaart de Beer, Rafal Gumienny, Martino Bertoni, Rosalba Lepore and Christine Rempfer. Their work appears in journals such as Nature, Nucleic Acids Research and The Journal of Chemical Physics.
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.