Tania Aguado
- Pharmacology top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Surgery top 10%
- Co-authors
- Manuel GuzmánIsmael Galve‐RoperhJavier PalazuelosBeat LutzKrisztina MonoryGiovanni MarsicanoRaphael MechoulamBoris Julien
- Topics
- Cannabis and Cannabinoid Research (19 papers)Neuroscience and Neuropharmacology Research (11 papers)Sleep and Wakefulness Research (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- SpainGermanyUnited States
In The Last Decade
Tania Aguado
29 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 82
- Pharmacology 1.7k
- Cellular and Molecular Neuroscience 1.1k
- Cognitive Neuroscience 461
- Molecular Biology 396
- Surgery 393
Countries citing papers authored by Tania Aguado
This map shows the geographic impact of Tania Aguado'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 Tania Aguado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Aguado more than expected).
Fields of papers citing papers by Tania Aguado
This network shows the impact of papers produced by Tania Aguado. 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 Tania Aguado. The network helps show where Tania Aguado may publish in the future.
Co-authorship network of co-authors of Tania Aguado
This figure shows the co-authorship network connecting the top 25 collaborators of Tania Aguado. A scholar is included among the top collaborators of Tania Aguado 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 Tania Aguado. Tania Aguado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 15 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 19 | |
| 8 | 62 | |
| 9 | 30 | |
| 10 | 62 | |
| 11 | 311 | |
| 12 | 87 | |
| 13 | 139 | |
| 14 | 100 | |
| 15 | 77 | |
| 16 | 129 | |
| 17 | 104 | |
| 18 | 74 | |
| 19 | 204 | |
| 20 | 267 |
About Tania Aguado
Tania Aguado is a scholar working on Developmental Neuroscience, Pharmacology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (19 papers), Neuroscience and Neuropharmacology Research (11 papers) and Sleep and Wakefulness Research (11 papers). The work is most often cited by research in Pharmacology (1.7k citations), Cellular and Molecular Neuroscience (1.1k citations) and Developmental Neuroscience (242 citations). Tania Aguado has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Manuel Guzmán, Ismael Galve‐Roperh, Javier Palazuelos, Beat Lutz, Krisztina Monory, Giovanni Marsicano, Raphael Mechoulam, Boris Julien, Nephi Stella and Zaal Kokaia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.