Alejandro Varela‐Rial
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- Machine Learning in Bioinformatics
Papers in
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- Protein Structure and Dynamics 4
- RNA Research and Splicing 2
- Lipid Membrane Structure and Behavior 1
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- Computational Drug Discovery Methods 5
- Co-authors
- Gianni De Fabritiis (7 shared papers)Maciej Majewski (3 shared papers)José Jiménez-Luna (2 shared papers)Miha Škalič (1 shared paper)Gerard Martínez-Rosell (1 shared paper)Stefan Doerr (2 shared papers)Raimondas Galvelis (1 shared paper)Thomas E. Markland (1 shared paper)
In The Last Decade
Alejandro Varela‐Rial
8 papers receiving 181 citations
Peers
Comparison fields: 5 of 67
- Computational Theory and Mathematics 109
- Molecular Biology 114
- Materials Chemistry 76
- Biophysics 7
- Health Informatics 1
Countries citing papers authored by Alejandro Varela‐Rial
This map shows the geographic impact of Alejandro Varela‐Rial'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 Alejandro Varela‐Rial with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Varela‐Rial more than expected).
Fields of papers citing papers by Alejandro Varela‐Rial
This network shows the impact of papers produced by Alejandro Varela‐Rial. 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 Alejandro Varela‐Rial. The network helps show where Alejandro Varela‐Rial may publish in the future.
Co-authors
The 24 scholars most cited alongside Alejandro Varela‐Rial, 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 | 49 | |
| 2 | 2018 | 46 | |
| 3 | 2021 | 39 | |
| 4 | 2023 | 15 | |
| 5 | 2022 | 13 | |
| 6 | 2017 | 12 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 4 |
About Alejandro Varela‐Rial
Alejandro Varela‐Rial is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Ecology and Oncology, having authored 8 papers that have together received 183 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers), Machine Learning in Materials Science (4 papers), RNA Research and Splicing (2 papers), Bacteriophages and microbial interactions (2 papers), Polyomavirus and related diseases (2 papers), Enzyme Structure and Function (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Computational Theory and Mathematics (109 citations), Molecular Biology (114 citations), Materials Chemistry (76 citations), Biophysics (7 citations) and Health Informatics (1 citation). Alejandro Varela‐Rial has collaborated with scholars based in Spain, Germany and Czechia. Frequent co-authors include Gianni De Fabritiis, Maciej Majewski, José Jiménez-Luna, Miha Škalič, Gerard Martínez-Rosell, Stefan Doerr, Raimondas Galvelis, Thomas E. Markland, John D. Chodera and Peter Eastman. Their work appears in journals such as eLife, Journal of Chemical Information and Modeling, Biotechnology and Applied Biochemistry, Wiley Interdisciplinary Reviews Computational Molecular Science and Bioinformatics.
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.