Guilherme Neves
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Cognitive Neuroscience top 5%
- Cell Biology top 5%
- Neurology top 5%
- Co-authors
- Tim BlissSamuel F. CookeLeon LagnadoAndrew ChessJuan BurroneJacob ZuckerMark J. DalyAna Gomis
- Topics
- Neuroscience and Neuropharmacology Research (11 papers)Neural dynamics and brain function (9 papers)Retinal Development and Disorders (6 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Guilherme Neves
24 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Cellular and Molecular Neuroscience 1.2k
- Molecular Biology 951
- Cognitive Neuroscience 425
- Cell Biology 345
- Neurology 217
Countries citing papers authored by Guilherme Neves
This map shows the geographic impact of Guilherme Neves'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 Neves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guilherme Neves more than expected).
Fields of papers citing papers by Guilherme Neves
This network shows the impact of papers produced by Guilherme Neves. 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 Neves. The network helps show where Guilherme Neves may publish in the future.
Co-authorship network of co-authors of Guilherme Neves
This figure shows the co-authorship network connecting the top 25 collaborators of Guilherme Neves. A scholar is included among the top collaborators of Guilherme Neves 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 Neves. Guilherme Neves 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 | 0 | |
| 3 | 14 | |
| 4 | 8 | |
| 5 | Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike-induced syncytiabreakdown → | 281 |
| 6 | 60 | |
| 7 | 1 | |
| 8 | 71 | |
| 9 | 26 | |
| 10 | 48 | |
| 11 | Synaptic plasticity, memory and the hippocampus: a neural network approach to causalitybreakdown → | 875 |
| 12 | 177 | |
| 13 | 10 | |
| 14 | 194 | |
| 15 | 78 | |
| 16 | 31 | |
| 17 | 83 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 150 |
About Guilherme Neves
Guilherme Neves is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Structural Biology, having authored 25 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Neural dynamics and brain function (9 papers) and Retinal Development and Disorders (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Developmental Neuroscience (215 citations) and Neurology (217 citations). Guilherme Neves has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Tim Bliss, Samuel F. Cooke, Leon Lagnado, Andrew Chess, Juan Burrone, Jacob Zucker, Mark J. Daly, Ana Gomis, Vassilis Pachnis and James C. Clemens. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.