Alexandre Dias
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
- Protein Structure and Dynamics 2
- Protein purification and stability 1
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- Enzyme Structure and Function 3
- Co-authors
- P.M. Collins (3 shared papers)T. Krojer (3 shared papers)J. Brandão-Neto (3 shared papers)A. Douangamath (3 shared papers)F. von Delft (3 shared papers)R. Talon (3 shared papers)Nicholas M. Pearce (2 shared papers)Brian D. Marsden (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Visualized Experiments (1 paper)Acta Crystallographica Section D Structural Biology (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Synchrotron Radiation News (2 papers)
- Partner nations
- United KingdomSouth AfricaFrance
In The Last Decade
Alexandre Dias
7 papers receiving 173 citations
Peers
Comparison fields: 5 of 53
- Structural Biology 3
- Computational Theory and Mathematics 33
- Molecular Biology 132
- Clinical Biochemistry 11
- Materials Chemistry 72
Countries citing papers authored by Alexandre Dias
This map shows the geographic impact of Alexandre Dias'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 Alexandre Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Dias more than expected).
Fields of papers citing papers by Alexandre Dias
This network shows the impact of papers produced by Alexandre Dias. 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 Alexandre Dias. The network helps show where Alexandre Dias may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandre Dias, 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 | 2017 | 64 | |
| 2 | 2021 | 42 | |
| 3 | 2018 | 34 | |
| 4 | 2014 | 18 | |
| 5 | 2017 | 15 | |
| 6 | 2014 | 2 | |
| 7 | 2011 | 1 |
About Alexandre Dias
Alexandre Dias is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Computer Networks and Communications and Information Systems and Management, having authored 7 papers that have together received 176 indexed citations. Recurring topics across this work include Enzyme Structure and Function (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Protein Structure and Dynamics (2 papers), Scientific Computing and Data Management (1 paper), Protein purification and stability (1 paper), Computational Drug Discovery Methods (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Structural Biology (3 citations), Computational Theory and Mathematics (33 citations), Molecular Biology (132 citations), Clinical Biochemistry (11 citations) and Materials Chemistry (72 citations). Alexandre Dias has collaborated with scholars based in United Kingdom, South Africa and France. Frequent co-authors include P.M. Collins, T. Krojer, J. Brandão-Neto, A. Douangamath, F. von Delft, R. Talon, Nicholas M. Pearce, Brian D. Marsden, Stéphane Savary and Conor Wild. Their work appears in journals such as Journal of Biological Chemistry, Journal of Visualized Experiments, Acta Crystallographica Section D Structural Biology, Methods in enzymology on CD-ROM/Methods in enzymology and Synchrotron Radiation News.
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.