Rava Azeredo da Silveira
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering
- Condensed Matter Physics
- Co-authors
- Botond RoskaGautam B. AwatramaniThomas A. MünchSandra SiegertTim J. VineyAndreas HierlemannFelix FrankeYariv Kafri
- Topics
- Neural dynamics and brain function (16 papers)Retinal Development and Disorders (8 papers)Photoreceptor and optogenetics research (7 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Rava Azeredo da Silveira
30 papers receiving 736 citations
Peers
Comparison fields: 5 of 80
- Cellular and Molecular Neuroscience 439
- Molecular Biology 416
- Cognitive Neuroscience 395
- Electrical and Electronic Engineering 49
- Condensed Matter Physics 40
Countries citing papers authored by Rava Azeredo da Silveira
This map shows the geographic impact of Rava Azeredo da Silveira'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 Rava Azeredo da Silveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rava Azeredo da Silveira more than expected).
Fields of papers citing papers by Rava Azeredo da Silveira
This network shows the impact of papers produced by Rava Azeredo da Silveira. 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 Rava Azeredo da Silveira. The network helps show where Rava Azeredo da Silveira may publish in the future.
Co-authorship network of co-authors of Rava Azeredo da Silveira
This figure shows the co-authorship network connecting the top 25 collaborators of Rava Azeredo da Silveira. A scholar is included among the top collaborators of Rava Azeredo da Silveira 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 Rava Azeredo da Silveira. Rava Azeredo da Silveira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 37 | |
| 10 | 3 | |
| 11 | 79 | |
| 12 | 54 | |
| 13 | 31 | |
| 14 | 36 | |
| 15 | 30 | |
| 16 | 38 | |
| 17 | 33 | |
| 18 | 256 | |
| 19 | A Functional Role of AII Amacrine Cells in Light-Adapted Retina | 1 |
| 20 | 24 |
About Rava Azeredo da Silveira
Rava Azeredo da Silveira is a scholar working on General Decision Sciences, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 742 indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Retinal Development and Disorders (8 papers) and Photoreceptor and optogenetics research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (439 citations), Cognitive Neuroscience (395 citations) and General Decision Sciences (15 citations). Rava Azeredo da Silveira has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Botond Roska, Gautam B. Awatramani, Thomas A. Münch, Sandra Siegert, Tim J. Viney, Andreas Hierlemann, Felix Franke, Yariv Kafri, Michele Fiscella and Michael J. Berry. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Neuron.
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.