Javier Vázquez
Impact in
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- Computational Drug Discovery Methods
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- Synthesis and biological activity
- Click Chemistry and Applications
Papers in
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- Computational Drug Discovery Methods 8
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- Click Chemistry and Applications 2
- Synthesis and biological activity 2
- Carbohydrate Chemistry and Synthesis 1
- Co-authors
- F. Javier Luque (11 shared papers)Enric Herrero (6 shared papers)Enric Gibert (3 shared papers)Manel López (1 shared paper)Tiziana Ginex (4 shared papers)Carolina Estarellas (1 shared paper)Alessandro Deplano (2 shared papers)Mercedes Unzeta (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (4 papers)Future Medicinal Chemistry (1 paper)Bioorganic & Medicinal Chemistry (1 paper)Molecules (1 paper)Current Opinion in Structural Biology (1 paper)
- Partner nations
- SpainItalyUnited States
In The Last Decade
Javier Vázquez
11 papers receiving 278 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 158
- Organic Chemistry 74
- Health Informatics 3
- Pharmacology 19
- Molecular Biology 147
Countries citing papers authored by Javier Vázquez
This map shows the geographic impact of Javier Vázquez'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 Javier Vázquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Vázquez more than expected).
Fields of papers citing papers by Javier Vázquez
This network shows the impact of papers produced by Javier Vázquez. 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 Javier Vázquez. The network helps show where Javier Vázquez may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Vázquez, 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 | 2020 | 150 | |
| 2 | 2019 | 48 | |
| 3 | 2024 | 23 | |
| 4 | 2016 | 23 | |
| 5 | 2018 | 18 | |
| 6 | 2020 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2019 | 1 |
About Javier Vázquez
Javier Vázquez is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Biology, Physical and Theoretical Chemistry and Materials Chemistry, having authored 11 papers that have together received 284 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Click Chemistry and Applications (2 papers), Protein Structure and Dynamics (2 papers), Machine Learning in Materials Science (2 papers), Synthesis and biological activity (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (158 citations), Organic Chemistry (74 citations), Health Informatics (3 citations), Pharmacology (19 citations) and Molecular Biology (147 citations). Javier Vázquez has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include F. Javier Luque, Enric Herrero, Enric Gibert, Manel López, Tiziana Ginex, Carolina Estarellas, Alessandro Deplano, Mercedes Unzeta, Jordi Juárez‐Jiménez and Montse Solé. Their work appears in journals such as Journal of Chemical Information and Modeling, Future Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Molecules and Current Opinion in Structural Biology.
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.