Daniela A. Riaño Barros
- Cellular and Molecular Neuroscience top 10%
- Pharmacology top 10%
- Psychiatry and Mental health
- Cognitive Neuroscience
- Molecular Biology
- Co-authors
- Alexander HammersColm J. McGinnityFederico TurkheimerMatthias J. KoeppDavid J. BrooksJohn S. DuncanLula RossoWilliam Trigg
- Topics
- Neuroscience and Neuropharmacology Research (9 papers)Cannabis and Cannabinoid Research (7 papers)Epilepsy research and treatment (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageScientific Reports
- Partner nations
- United KingdomFranceDenmark
In The Last Decade
Daniela A. Riaño Barros
18 papers receiving 347 citations
Peers
Comparison fields: 5 of 58
- Cellular and Molecular Neuroscience 177
- Pharmacology 123
- Psychiatry and Mental health 77
- Cognitive Neuroscience 76
- Molecular Biology 62
Countries citing papers authored by Daniela A. Riaño Barros
This map shows the geographic impact of Daniela A. Riaño Barros'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 Daniela A. Riaño Barros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela A. Riaño Barros more than expected).
Fields of papers citing papers by Daniela A. Riaño Barros
This network shows the impact of papers produced by Daniela A. Riaño Barros. 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 Daniela A. Riaño Barros. The network helps show where Daniela A. Riaño Barros may publish in the future.
Co-authorship network of co-authors of Daniela A. Riaño Barros
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela A. Riaño Barros. A scholar is included among the top collaborators of Daniela A. Riaño Barros 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 Daniela A. Riaño Barros. Daniela A. Riaño Barros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 9 | |
| 4 | 19 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 56 | |
| 10 | 35 | |
| 11 | 16 | |
| 12 | 58 | |
| 13 | 43 | |
| 14 | 16 | |
| 15 | 20 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 13 |
About Daniela A. Riaño Barros
Daniela A. Riaño Barros is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Pharmacology, having authored 18 papers that have together received 348 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Cannabis and Cannabinoid Research (7 papers) and Epilepsy research and treatment (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (177 citations), Biological Psychiatry (19 citations) and Pharmacology (123 citations). Daniela A. Riaño Barros has collaborated with scholars based in United Kingdom, France and Denmark. Frequent co-authors include Alexander Hammers, Colm J. McGinnity, Federico Turkheimer, Matthias J. Koepp, David J. Brooks, John S. Duncan, Lula Rosso, William Trigg, Sajinder K. Luthra and Mark R. Symms. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.
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.