Jeffery R. Wickens
- Cellular and Molecular Neuroscience top 0.2%
- Cognitive Neuroscience top 0.5%
- Molecular Biology top 5%
- Neurology top 1%
- Psychiatry and Mental health top 1%
- Co-authors
- John N. J. ReynoldsBrian I. HylandGail TrippGordon W. ArbuthnottJason N. D. KerrWei‐Xing PanRobert SchmidtWickliffe C. Abraham
- Topics
- Neuroscience and Neuropharmacology Research (52 papers)Neural dynamics and brain function (46 papers)Neurotransmitter Receptor Influence on Behavior (40 papers)
- Journals
- NatureNature CommunicationsNeuron
- Partner nations
- New ZealandJapanUnited States
In The Last Decade
Jeffery R. Wickens
106 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cellular and Molecular Neuroscience 4.1k
- Cognitive Neuroscience 3.9k
- Molecular Biology 1.4k
- Neurology 1.1k
- Psychiatry and Mental health 926
Countries citing papers authored by Jeffery R. Wickens
This map shows the geographic impact of Jeffery R. Wickens'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 Jeffery R. Wickens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffery R. Wickens more than expected).
Fields of papers citing papers by Jeffery R. Wickens
This network shows the impact of papers produced by Jeffery R. Wickens. 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 Jeffery R. Wickens. The network helps show where Jeffery R. Wickens may publish in the future.
Co-authorship network of co-authors of Jeffery R. Wickens
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffery R. Wickens. A scholar is included among the top collaborators of Jeffery R. Wickens 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 Jeffery R. Wickens. Jeffery R. Wickens 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 | 1 | |
| 3 | 22 | |
| 4 | 40 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 79 | |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 63 | |
| 12 | 9 | |
| 13 | 65 | |
| 14 | 27 | |
| 15 | 30 | |
| 16 | 18 | |
| 17 | Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons | 6 |
| 18 | 12 | |
| 19 | 80 | |
| 20 | 61 |
About Jeffery R. Wickens
Jeffery R. Wickens is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 109 papers that have together received 6.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (52 papers), Neural dynamics and brain function (46 papers) and Neurotransmitter Receptor Influence on Behavior (40 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.1k citations), Cognitive Neuroscience (3.9k citations) and Neurology (1.1k citations). Jeffery R. Wickens has collaborated with scholars based in New Zealand, Japan and United States. Frequent co-authors include John N. J. Reynolds, Brian I. Hyland, Gail Tripp, Gordon W. Arbuthnott, Jason N. D. Kerr, Wei‐Xing Pan, Robert Schmidt, Wickliffe C. Abraham, Dorothy E. Oorschot and Mark J. Tunstall. Their work appears in journals such as Nature, Nature Communications 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.