Joseph J. Paton
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Molecular Biology
- Co-authors
- C. Daniel SalzmanMarina A. BelovaSara E. MorrisonSofia SoaresDean V. BuonomanoBassam V. AtallahGustavo Borges Moreno e MelloAdam R. Kampff
- Topics
- Neural dynamics and brain function (18 papers)Neural and Behavioral Psychology Studies (9 papers)Memory and Neural Mechanisms (7 papers)
- Partner nations
- PortugalUnited StatesUnited Kingdom
In The Last Decade
Joseph J. Paton
21 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 2.2k
- Cellular and Molecular Neuroscience 905
- Social Psychology 384
- Experimental and Cognitive Psychology 296
- Molecular Biology 271
Countries citing papers authored by Joseph J. Paton
This map shows the geographic impact of Joseph J. Paton'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 Joseph J. Paton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph J. Paton more than expected).
Fields of papers citing papers by Joseph J. Paton
This network shows the impact of papers produced by Joseph J. Paton. 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 Joseph J. Paton. The network helps show where Joseph J. Paton may publish in the future.
Co-authorship network of co-authors of Joseph J. Paton
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph J. Paton. A scholar is included among the top collaborators of Joseph J. Paton 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 Joseph J. Paton. Joseph J. Paton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 13 | |
| 3 | 13 | |
| 4 | 26 | |
| 5 | 5 | |
| 6 | The Neural Basis of Timing: Distributed Mechanisms for Diverse Functionsbreakdown → | 226 |
| 7 | 51 | |
| 8 | 96 | |
| 9 | 26 | |
| 10 | 196 | |
| 11 | 319 | |
| 12 | 248 | |
| 13 | 22 | |
| 14 | 167 | |
| 15 | 60 | |
| 16 | 172 | |
| 17 | 281 | |
| 18 | 48 | |
| 19 | The primate amygdala represents the positive and negative value of visual stimuli during learningbreakdown → | 665 |
| 20 | 12 |
About Joseph J. Paton
Joseph J. Paton is a scholar working on Cognitive Neuroscience, Developmental Biology and Sensory Systems, having authored 21 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Neural and Behavioral Psychology Studies (9 papers) and Memory and Neural Mechanisms (7 papers). The work is most often cited by research in Cognitive Neuroscience (2.2k citations), Cellular and Molecular Neuroscience (905 citations) and Behavioral Neuroscience (168 citations). Joseph J. Paton has collaborated with scholars based in Portugal, United States and United Kingdom. Frequent co-authors include C. Daniel Salzman, Marina A. Belova, Sara E. Morrison, Sofia Soares, Dean V. Buonomano, Bassam V. Atallah, Gustavo Borges Moreno e Mello, Adam R. Kampff, Tiago Monteiro and Rui M. Costa. Their work appears in journals such as Nature, Science 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.