Jaime J. Castrellon
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Cellular and Molecular Neuroscience
- Social Psychology
- Clinical Psychology
- Co-authors
- Gregory R. Samanez‐LarkinDavid H. ZaldLinh C. DangRonald L. CowanScott F. PerkinsKendra Leigh SeamanMing HsuChristopher T. Smith
- Topics
- Neural and Behavioral Psychology Studies (7 papers)Neurotransmitter Receptor Influence on Behavior (5 papers)Functional Brain Connectivity Studies (4 papers)
- Cited by
- Neuropsychology and Physiological PsychologyGeneral Decision SciencesCognitive Neuroscience
- Partner nations
- United StatesSwitzerland
In The Last Decade
Jaime J. Castrellon
14 papers receiving 437 citations
Peers
Comparison fields: 5 of 73
- Cognitive Neuroscience 213
- Experimental and Cognitive Psychology 97
- Cellular and Molecular Neuroscience 81
- Social Psychology 64
- Clinical Psychology 58
Countries citing papers authored by Jaime J. Castrellon
This map shows the geographic impact of Jaime J. Castrellon'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 Jaime J. Castrellon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime J. Castrellon more than expected).
Fields of papers citing papers by Jaime J. Castrellon
This network shows the impact of papers produced by Jaime J. Castrellon. 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 Jaime J. Castrellon. The network helps show where Jaime J. Castrellon may publish in the future.
Co-authorship network of co-authors of Jaime J. Castrellon
This figure shows the co-authorship network connecting the top 25 collaborators of Jaime J. Castrellon. A scholar is included among the top collaborators of Jaime J. Castrellon 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 Jaime J. Castrellon. Jaime J. Castrellon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 18 | |
| 4 | 66 | |
| 5 | 46 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 63 | |
| 9 | 25 | |
| 10 | 11 | |
| 11 | 61 | |
| 12 | 16 | |
| 13 | 29 | |
| 14 | 23 | |
| 15 | 53 |
About Jaime J. Castrellon
Jaime J. Castrellon is a scholar working on Neuropsychology and Physiological Psychology, General Decision Sciences and Cognitive Neuroscience, having authored 15 papers that have together received 445 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (45 citations), General Decision Sciences (53 citations) and Cognitive Neuroscience (213 citations). Jaime J. Castrellon has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Gregory R. Samanez‐Larkin, David H. Zald, Linh C. Dang, Ronald L. Cowan, Scott F. Perkins, Kendra Leigh Seaman, Ming Hsu, Christopher T. Smith, Paul Newhouse and Teresa M. Karrer. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Scientific Reports.
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.