Geoffrey Pavey
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Psychiatry and Mental health top 5%
- Biological Psychiatry top 5%
- Pharmacology
- Co-authors
- Brian DeanDavid CopolovElizabeth ScarrKenneth OpeskinNicholas A KeksJeremy M. CrookJ. Gregor SutcliffeElizabeth A. Thomas
- Topics
- Neuroscience and Neuropharmacology Research (20 papers)Neurotransmitter Receptor Influence on Behavior (16 papers)Receptor Mechanisms and Signaling (14 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Geoffrey Pavey
34 papers receiving 902 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 563
- Molecular Biology 502
- Psychiatry and Mental health 250
- Biological Psychiatry 133
- Pharmacology 78
Countries citing papers authored by Geoffrey Pavey
This map shows the geographic impact of Geoffrey Pavey'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 Geoffrey Pavey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey Pavey more than expected).
Fields of papers citing papers by Geoffrey Pavey
This network shows the impact of papers produced by Geoffrey Pavey. 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 Geoffrey Pavey. The network helps show where Geoffrey Pavey may publish in the future.
Co-authorship network of co-authors of Geoffrey Pavey
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Pavey. A scholar is included among the top collaborators of Geoffrey Pavey 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 Geoffrey Pavey. Geoffrey Pavey 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 | 22 | |
| 3 | 4 | |
| 4 | 34 | |
| 5 | 30 | |
| 6 | 14 | |
| 7 | 97 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 32 | |
| 11 | 3 | |
| 12 | 32 | |
| 13 | 49 | |
| 14 | Increased frontal cortical GABA(A) receptors and decreased serotonin(2a) receptors in schizophrenia | 2 |
| 15 | 30 | |
| 16 | 10 | |
| 17 | 44 | |
| 18 | 6 | |
| 19 | 10 | |
| 20 | 4 |
About Geoffrey Pavey
Geoffrey Pavey is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Psychiatry and Mental health, having authored 34 papers that have together received 922 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Neurotransmitter Receptor Influence on Behavior (16 papers) and Receptor Mechanisms and Signaling (14 papers). The work is most often cited by research in Biological Psychiatry (133 citations), Cellular and Molecular Neuroscience (563 citations) and Psychiatry and Mental health (250 citations). Geoffrey Pavey has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Brian Dean, David Copolov, Elizabeth Scarr, Kenneth Opeskin, Nicholas A Keks, Jeremy M. Crook, J. Gregor Sutcliffe, Elizabeth A. Thomas, Suresh Sundram and Andrew Mackinnon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical Journal and Brain Research.
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.