Alfredo Ribeiro‐da‐Silva
- Cellular and Molecular Neuroscience top 0.5%
- Physiology top 0.5%
- Molecular Biology top 5%
- Pharmacology top 1%
- Cognitive Neuroscience top 5%
- Co-authors
- A. Claudio CuelloAntonio CoimbraYves De KoninckSylvain ChemtobTomas HökfeltPhilippe SéguélaDaya R. VarmaDuarte Pignatelli
- Topics
- Pain Mechanisms and Treatments (68 papers)Neuropeptides and Animal Physiology (36 papers)Neuroscience and Neuropharmacology Research (33 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Alfredo Ribeiro‐da‐Silva
129 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 124
- Cellular and Molecular Neuroscience 2.9k
- Physiology 2.8k
- Molecular Biology 2.0k
- Pharmacology 731
- Cognitive Neuroscience 582
Countries citing papers authored by Alfredo Ribeiro‐da‐Silva
This map shows the geographic impact of Alfredo Ribeiro‐da‐Silva'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 Alfredo Ribeiro‐da‐Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfredo Ribeiro‐da‐Silva more than expected).
Fields of papers citing papers by Alfredo Ribeiro‐da‐Silva
This network shows the impact of papers produced by Alfredo Ribeiro‐da‐Silva. 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 Alfredo Ribeiro‐da‐Silva. The network helps show where Alfredo Ribeiro‐da‐Silva may publish in the future.
Co-authorship network of co-authors of Alfredo Ribeiro‐da‐Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Alfredo Ribeiro‐da‐Silva. A scholar is included among the top collaborators of Alfredo Ribeiro‐da‐Silva 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 Alfredo Ribeiro‐da‐Silva. Alfredo Ribeiro‐da‐Silva 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 | 26 | |
| 4 | 45 | |
| 5 | 83 | |
| 6 | 25 | |
| 7 | 47 | |
| 8 | 36 | |
| 9 | 34 | |
| 10 | 27 | |
| 11 | 93 | |
| 12 | 110 | |
| 13 | 38 | |
| 14 | 102 | |
| 15 | 104 | |
| 16 | 20 | |
| 17 | 9 | |
| 18 | 38 | |
| 19 | 16 | |
| 20 | 106 |
About Alfredo Ribeiro‐da‐Silva
Alfredo Ribeiro‐da‐Silva is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Physiology, having authored 130 papers that have together received 5.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (68 papers), Neuropeptides and Animal Physiology (36 papers) and Neuroscience and Neuropharmacology Research (33 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Physiology (2.8k citations) and Developmental Neuroscience (289 citations). Alfredo Ribeiro‐da‐Silva has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include A. Claudio Cuello, Antonio Coimbra, Yves De Koninck, Sylvain Chemtob, Tomas Hökfelt, Philippe Séguéla, Daya R. Varma, Duarte Pignatelli, L. Garofalo and Andrea Bailey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.