Ruben Vale
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Social Psychology top 10%
- Molecular Biology
- Cell Biology
- Co-authors
- Tiago BrancoDominic A. EvansA. Vanessa StempelSabine RuehleYaara LeflerHorst A. ObenhausMarina JorgeEdvard I Moser
- Topics
- Neuroscience and Neuropharmacology Research (4 papers)Neural dynamics and brain function (3 papers)Diabetes Treatment and Management (3 papers)
- Partner nations
- United KingdomDenmarkUnited States
In The Last Decade
Ruben Vale
11 papers receiving 706 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Cognitive Neuroscience 384
- Cellular and Molecular Neuroscience 303
- Social Psychology 143
- Molecular Biology 113
- Cell Biology 79
Countries citing papers authored by Ruben Vale
This map shows the geographic impact of Ruben Vale'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 Ruben Vale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruben Vale more than expected).
Fields of papers citing papers by Ruben Vale
This network shows the impact of papers produced by Ruben Vale. 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 Ruben Vale. The network helps show where Ruben Vale may publish in the future.
Co-authorship network of co-authors of Ruben Vale
This figure shows the co-authorship network connecting the top 25 collaborators of Ruben Vale. A scholar is included among the top collaborators of Ruben Vale 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 Ruben Vale. Ruben Vale 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 | Amycretin, a novel, unimolecular GLP-1 and amylin receptor agonist administered subcutaneously: results from a phase 1b/2a randomised controlled studybreakdown → | 19 |
| 3 | 8 | |
| 4 | Large-scale two-photon calcium imaging in freely moving micebreakdown → | 155 |
| 5 | 46 | |
| 6 | 117 | |
| 7 | A synaptic threshold mechanism for computing escape decisionsbreakdown → | 282 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 75 | |
| 11 | 12 |
About Ruben Vale
Ruben Vale is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 719 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neural dynamics and brain function (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Cognitive Neuroscience (384 citations), Behavioral Neuroscience (65 citations) and Cellular and Molecular Neuroscience (303 citations). Ruben Vale has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Tiago Branco, Dominic A. Evans, A. Vanessa Stempel, Sabine Ruehle, Yaara Lefler, Horst A. Obenhaus, Marina Jorge, Edvard I Moser, Weijian Zong and May‐Britt Moser. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.
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.