Javier Díaz-Alonso
- Pharmacology top 1%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Surgery
- Co-authors
- Ismael Galve‐RoperhManuel GuzmánRoger A. NicollJavier PalazuelosZaira OrtegaMauro MaccarroneValerio ChiurchiùMonica Bari
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Cannabis and Cannabinoid Research (10 papers)Sleep and Wakefulness Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Javier Díaz-Alonso
26 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 88
- Pharmacology 840
- Cellular and Molecular Neuroscience 827
- Molecular Biology 446
- Cognitive Neuroscience 298
- Surgery 199
Countries citing papers authored by Javier Díaz-Alonso
This map shows the geographic impact of Javier Díaz-Alonso'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 Díaz-Alonso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Díaz-Alonso more than expected).
Fields of papers citing papers by Javier Díaz-Alonso
This network shows the impact of papers produced by Javier Díaz-Alonso. 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 Díaz-Alonso. The network helps show where Javier Díaz-Alonso may publish in the future.
Co-authorship network of co-authors of Javier Díaz-Alonso
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Díaz-Alonso. A scholar is included among the top collaborators of Javier Díaz-Alonso 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 Javier Díaz-Alonso. Javier Díaz-Alonso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 14 | |
| 3 | 115 | |
| 4 | 9 | |
| 5 | 120 | |
| 6 | 51 | |
| 7 | 25 | |
| 8 | 65 | |
| 9 | 15 | |
| 10 | 62 | |
| 11 | 22 | |
| 12 | 45 | |
| 13 | 30 | |
| 14 | 220 | |
| 15 | 226 | |
| 16 | 62 | |
| 17 | 138 | |
| 18 | 11 | |
| 19 | 4 | |
| 20 | 2 |
About Javier Díaz-Alonso
Javier Díaz-Alonso is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Developmental Neuroscience, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Cannabis and Cannabinoid Research (10 papers) and Sleep and Wakefulness Research (5 papers). The work is most often cited by research in Pharmacology (840 citations), Cellular and Molecular Neuroscience (827 citations) and Developmental Neuroscience (140 citations). Javier Díaz-Alonso has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Ismael Galve‐Roperh, Manuel Guzmán, Roger A. Nicoll, Javier Palazuelos, Zaira Ortega, Mauro Maccarrone, Valerio Chiurchiù, Monica Bari, Adán de Salas-Quiroga and Henar Vázquez‐Villa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.