Rafael Alcántara
- Molecular Biology top 10%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Spectroscopy top 10%
- Pharmacology
- Co-authors
- Paula de MatosMarcus EnnisJanna HastingsMagali ZbindenAndrew McNaughtMickaël GuedjMichael AshburnerKirill Degtyarenko
- Topics
- Bioinformatics and Genomic Networks (4 papers)Neuroscience and Neuropharmacology Research (3 papers)Amino Acid Enzymes and Metabolism (2 papers)
- Partner nations
- United KingdomSpainFrance
In The Last Decade
Rafael Alcántara
10 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.1k
- Artificial Intelligence 286
- Computational Theory and Mathematics 277
- Spectroscopy 103
- Pharmacology 81
Countries citing papers authored by Rafael Alcántara
This map shows the geographic impact of Rafael Alcántara'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 Rafael Alcántara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Alcántara more than expected).
Fields of papers citing papers by Rafael Alcántara
This network shows the impact of papers produced by Rafael Alcántara. 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 Rafael Alcántara. The network helps show where Rafael Alcántara may publish in the future.
Co-authorship network of co-authors of Rafael Alcántara
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Alcántara. A scholar is included among the top collaborators of Rafael Alcántara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rafael Alcántara. Rafael Alcántara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 60 | |
| 3 | 74 | |
| 4 | 234 | |
| 5 | ChEBI: a database and ontology for chemical entities of biological interestbreakdown → | 761 |
| 6 | 29 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 46 | |
| 10 | Uso de " ovaprim " (combinacion de un antagonista da dopamina (domperidona) mais um analogo do hormonio liberador de gonadotropina de salmao (sgnrh - a)) na inducao da desova do pacu (piaractus mesopotamicus) criado em cativeiro | 2 |
About Rafael Alcántara
Rafael Alcántara is a scholar working on Biochemistry, Physiology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Computational Theory and Mathematics (277 citations), Molecular Biology (1.1k citations) and Information Systems and Management (67 citations). Rafael Alcántara has collaborated with scholars based in United Kingdom, Spain and France. Frequent co-authors include Paula de Matos, Marcus Ennis, Janna Hastings, Magali Zbinden, Andrew McNaught, Mickaël Guedj, Michael Ashburner, Kirill Degtyarenko, Christoph Steinbeck and Steve Turner. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry 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.