Xavier Daura
- Molecular Biology top 0.5%
- Protein Structure and Dynamics 59
- Chemical Synthesis and Analysis 20
- RNA and protein synthesis mechanisms 17
- Bacterial biofilms and quorum sensing 16
- Spectroscopy top 0.5%
- Endocrinology top 2%
- Infections and bacterial resistance 14
- Microbiology top 1%
- Biomaterials top 2%
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- Enzyme Structure and Function 25
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- Spectroscopy and Quantum Chemical Studies 16
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- Bacteriophages and microbial interactions 14
- Co-authors
- Wilfred F. van GunsterenAlan E. MarkDieter SeebàchBernhard JaunKarl GademannLukas D. SchulerOscar Conchillo‐SoléFrancesc Avilés
- Journals
- Angewandte Chemie International Edition (9 papers)Proteins Structure Function and Bioinformatics (7 papers)Journal of Computational Chemistry (5 papers)
- Partner nations
- SpainSwitzerlandGermany
In The Last Decade
Xavier Daura
135 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 7.1k
- Spectroscopy 1.0k
- Endocrinology 284
- Microbiology 340
- Biomaterials 610
Countries citing papers authored by Xavier Daura
This map shows the geographic impact of Xavier Daura'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 Xavier Daura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Daura more than expected).
Fields of papers citing papers by Xavier Daura
This network shows the impact of papers produced by Xavier Daura. 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 Xavier Daura. The network helps show where Xavier Daura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xavier Daura, 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 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 9 | |
| 10 | 2019 | 18 | |
| 11 | 2018 | 13 | |
| 12 | 2017 | 34 | |
| 13 | 2016 | 17 | |
| 14 | 2016 | 46 | |
| 15 | 2015 | 5 | |
| 16 | 2013 | 21 | |
| 17 | 2012 | 67 | |
| 18 | 2008 | 40 | |
| 19 | 2005 | 26 | |
| 20 | Peptide Folding: When Simulation Meets Experimentbreakdown → | 1999 | 1655 |
About Xavier Daura
Xavier Daura is a scholar working on Endocrinology, Molecular Biology and Molecular Medicine, having authored 138 papers that have together received 9.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (59 papers), Enzyme Structure and Function (25 papers), Chemical Synthesis and Analysis (20 papers), RNA and protein synthesis mechanisms (17 papers), Bacterial biofilms and quorum sensing (16 papers), Spectroscopy and Quantum Chemical Studies (16 papers), Bacteriophages and microbial interactions (14 papers) and Infections and bacterial resistance (14 papers). The work is most often cited by research in Molecular Biology (7.1k citations), Spectroscopy (1.0k citations) and Endocrinology (284 citations). Xavier Daura has collaborated with scholars based in Spain, Switzerland and Germany. Frequent co-authors include Wilfred F. van Gunsteren, Alan E. Mark, Dieter Seebàch, Bernhard Jaun, Karl Gademann, Lukas D. Schuler, Oscar Conchillo‐Solé, Wilfred F. van Gunsteren, Francesc Avilés and Alice Glättli. Their work appears in journals such as Angewandte Chemie International Edition, Proteins Structure Function and Bioinformatics, Journal of Computational Chemistry, Helvetica Chimica Acta and Journal of the American Chemical Society.
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.