Daniela M. Barros
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 1%
- Molecular Biology top 10%
- Neurology top 2%
- Behavioral Neuroscience top 1%
- Co-authors
- Iván IzquierdoLuciana A. IzquierdoJorge H. MedinaMônica Ryff Moreira Roca ViannaMárcia María de SouzaJosé María MonserratPatrícia Grolli ArdenghiTadeu Mello e Souza
- Topics
- Neuroscience and Neuropharmacology Research (43 papers)Memory and Neural Mechanisms (40 papers)Receptor Mechanisms and Signaling (18 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- BrazilArgentinaUnited States
In The Last Decade
Daniela M. Barros
90 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 132
- Cellular and Molecular Neuroscience 1.8k
- Cognitive Neuroscience 1.5k
- Molecular Biology 995
- Neurology 414
- Behavioral Neuroscience 383
Countries citing papers authored by Daniela M. Barros
This map shows the geographic impact of Daniela M. 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 M. 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 M. Barros more than expected).
Fields of papers citing papers by Daniela M. Barros
This network shows the impact of papers produced by Daniela M. 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 M. Barros. The network helps show where Daniela M. Barros may publish in the future.
Co-authorship network of co-authors of Daniela M. Barros
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela M. Barros. A scholar is included among the top collaborators of Daniela M. 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 M. Barros. Daniela M. 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 | 0 | |
| 2 | 24 | |
| 3 | 15 | |
| 4 | 23 | |
| 5 | 19 | |
| 6 | 21 | |
| 7 | 5 | |
| 8 | Beneficial properties of red berries extracts and their anthocyanins. | 3 |
| 9 | 51 | |
| 10 | 58 | |
| 11 | 2 | |
| 12 | 51 | |
| 13 | Stability of anthocyanins from grape (Vitis vinifera L.) skins with tannic acid in a model system | 8 |
| 14 | 64 | |
| 15 | 24 | |
| 16 | 42 | |
| 17 | 21 | |
| 18 | 125 | |
| 19 | 212 | |
| 20 | 69 |
About Daniela M. Barros
Daniela M. Barros is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 91 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (43 papers), Memory and Neural Mechanisms (40 papers) and Receptor Mechanisms and Signaling (18 papers). The work is most often cited by research in Behavioral Neuroscience (383 citations), Cellular and Molecular Neuroscience (1.8k citations) and Cognitive Neuroscience (1.5k citations). Daniela M. Barros has collaborated with scholars based in Brazil, Argentina and United States. Frequent co-authors include Iván Izquierdo, Luciana A. Izquierdo, Jorge H. Medina, Mônica Ryff Moreira Roca Vianna, Márcia María de Souza, José María Monserrat, Patrícia Grolli Ardenghi, Tadeu Mello e Souza, Humberto Choi and Patrı́cia Pereira. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.
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.