João Rodrigues
- Molecular Biology top 2%
- Protein Structure and Dynamics 22
- RNA and protein synthesis mechanisms 7
- Receptor Mechanisms and Signaling 4
- Genomics and Phylogenetic Studies 3
- vaccines and immunoinformatics approaches 3
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 4
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- Computational Drug Discovery Methods 9
- Structural Biology top 5%
- Immunology top 5%
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- Enzyme Structure and Function 12
- Co-authors
- Alexandre M. J. J. BonvinPanagiotis L. KastritisAdrien S. J. MelquiondEzgi KaracaMikaël TrelletGydo C. P. van ZundertMarc van DijkSjoerd J. de Vries
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
João Rodrigues
42 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 3.6k
- Infectious Diseases 675
- Computational Theory and Mathematics 567
- Structural Biology 36
- Immunology 472
Countries citing papers authored by João Rodrigues
This map shows the geographic impact of João Rodrigues'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 João Rodrigues with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Rodrigues more than expected).
Fields of papers citing papers by João Rodrigues
This network shows the impact of papers produced by João Rodrigues. 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 João Rodrigues. The network helps show where João Rodrigues may publish in the future.
Co-authorship network
The 25 scholars most cited alongside João Rodrigues, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The HADDOCK2.4 web server for integrative modeling of biomolecular complexesbreakdown → | 2024 | 142 |
| 2 | 2022 | 1 | |
| 3 | 2021 | 47 | |
| 4 | 2020 | 21 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 38 | |
| 7 | 2020 | 24 | |
| 8 | 2018 | 33 | |
| 9 | 2017 | 12 | |
| 10 | 2017 | 100 | |
| 11 | 2017 | 126 | |
| 12 | 2017 | 30 | |
| 13 | 2016 | 16 | |
| 14 | PRODIGY: a web server for predicting the binding affinity of protein–protein complexesbreakdown → | 2016 | 858 |
| 15 | 2016 | 20 | |
| 16 | The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexesbreakdown → | 2015 | 1942 |
| 17 | 2014 | 104 | |
| 18 | 2014 | 81 | |
| 19 | 2012 | 110 | |
| 20 | 2012 | 100 |
About João Rodrigues
João Rodrigues is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, having authored 42 papers that have together received 4.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (22 papers), Enzyme Structure and Function (12 papers), Computational Drug Discovery Methods (9 papers), RNA and protein synthesis mechanisms (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Receptor Mechanisms and Signaling (4 papers), Genomics and Phylogenetic Studies (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Infectious Diseases (675 citations) and Computational Theory and Mathematics (567 citations). João Rodrigues has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Alexandre M. J. J. Bonvin, Panagiotis L. Kastritis, Adrien S. J. Melquiond, Ezgi Karaca, Mikaël Trellet, Gydo C. P. van Zundert, Marc van Dijk, Sjoerd J. de Vries, Carl Schmitz and Li C. Xue.
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.