Guilherme Testa-Silva
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Neurology top 10%
- Electrical and Electronic Engineering
- Co-authors
- Huibert D. MansvelderChristiaan P. J. de KockMatthijs B VerhoogRhiannon M. MeredithJohannes C. BaayenChris I. De ZeeuwIdan SegevGuy Eyal
- Topics
- Neural dynamics and brain function (8 papers)Neuroscience and Neuropharmacology Research (8 papers)Neuroscience and Neural Engineering (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Guilherme Testa-Silva
13 papers receiving 949 citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 625
- Cellular and Molecular Neuroscience 568
- Molecular Biology 202
- Neurology 100
- Electrical and Electronic Engineering 100
Countries citing papers authored by Guilherme Testa-Silva
This map shows the geographic impact of Guilherme Testa-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 Guilherme Testa-Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guilherme Testa-Silva more than expected).
Fields of papers citing papers by Guilherme Testa-Silva
This network shows the impact of papers produced by Guilherme Testa-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 Guilherme Testa-Silva. The network helps show where Guilherme Testa-Silva may publish in the future.
Co-authorship network of co-authors of Guilherme Testa-Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Guilherme Testa-Silva. A scholar is included among the top collaborators of Guilherme Testa-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 Guilherme Testa-Silva. Guilherme Testa-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 | 17 | |
| 3 | 34 | |
| 4 | 116 | |
| 5 | 1 | |
| 6 | 58 | |
| 7 | 86 | |
| 8 | 114 | |
| 9 | 151 | |
| 10 | 108 | |
| 11 | 87 | |
| 12 | 89 | |
| 13 | 33 | |
| 14 | 61 |
About Guilherme Testa-Silva
Guilherme Testa-Silva is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems, having authored 14 papers that have together received 955 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Cognitive Neuroscience (625 citations), Cellular and Molecular Neuroscience (568 citations) and Developmental Neuroscience (57 citations). Guilherme Testa-Silva has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Huibert D. Mansvelder, Christiaan P. J. de Kock, Matthijs B Verhoog, Rhiannon M. Meredith, Johannes C. Baayen, Chris I. De Zeeuw, Idan Segev, Guy Eyal, Michèle Giugliano and Joshua Obermayer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.