Eric Alcaide
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- RNA modifications and cancer
- Chemical Synthesis and Analysis
- RNA Research and Splicing
Papers in
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- Protein Structure and Dynamics 3
- Genomics and Phylogenetic Studies 1
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- Computational Drug Discovery Methods 3
- Co-authors
- Guolin Ke (2 shared papers)Sergey Bartunov (1 shared paper)C.D.O. Cooper (1 shared paper)A.S. Dore (1 shared paper)Thomas J. Lane (1 shared paper)S. Skerratt (1 shared paper)Prakash Rucktooa (1 shared paper)E Weinan (1 shared paper)
- Journals
- Software Quality Journal (1 paper)Current Opinion in Structural Biology (1 paper)Journal of Computational Chemistry (1 paper)Journal of Chemical Information and Modeling (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- ChinaSpainUnited Kingdom
In The Last Decade
Eric Alcaide
4 papers receiving 33 citations
Peers
Comparison fields: 5 of 27
- Structural Biology 1
- Molecular Biology 17
- Computational Theory and Mathematics 4
- Virology 1
- Molecular Medicine 1
Countries citing papers authored by Eric Alcaide
This map shows the geographic impact of Eric Alcaide'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 Eric Alcaide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Alcaide more than expected).
Fields of papers citing papers by Eric Alcaide
This network shows the impact of papers produced by Eric Alcaide. 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 Eric Alcaide. The network helps show where Eric Alcaide may publish in the future.
Co-authors
The 19 scholars most cited alongside Eric Alcaide, 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 | 2023 | 22 | |
| 2 | 2024 | 8 | |
| 3 | 2025 | 2 | |
| 4 | 2021 | 1 | |
| 5 | 2022 | 0 |
About Eric Alcaide
Eric Alcaide is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Safety, Risk, Reliability and Quality and Software, having authored 5 papers that have together received 33 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Enzyme Structure and Function (2 papers), Genomics and Phylogenetic Studies (1 paper), Software Reliability and Analysis Research (1 paper), Software Testing and Debugging Techniques (1 paper), Manufacturing Process and Optimization (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Structural Biology (1 citation), Molecular Biology (17 citations), Computational Theory and Mathematics (4 citations), Virology (1 citation) and Molecular Medicine (1 citation). Eric Alcaide has collaborated with scholars based in China, Spain and United Kingdom. Frequent co-authors include Guolin Ke, Sergey Bartunov, C.D.O. Cooper, A.S. Dore, Thomas J. Lane, S. Skerratt, Prakash Rucktooa, E Weinan, Ziyao Li and Huaqing Huang. Their work appears in journals such as Software Quality Journal, Current Opinion in Structural Biology, Journal of Computational Chemistry, Journal of Chemical Information and Modeling and Lecture notes in computer science.
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.