Gavin P. Reynolds
- Cellular and Molecular Neuroscience top 0.05%
- Molecular Biology top 1%
- Psychiatry and Mental health top 0.1%
- Physiology top 0.5%
- Neurology top 0.2%
- Co-authors
- Peter RiedererClare L. BeasleyZhi Jun ZhangK. A. JellingerE. SofićShona L. KirkJoanna C. NeillXiaobin Zhang
- Topics
- Neuroscience and Neuropharmacology Research (97 papers)Neurotransmitter Receptor Influence on Behavior (83 papers)Schizophrenia research and treatment (77 papers)
- Journals
- NatureScienceThe Lancet
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Gavin P. Reynolds
319 papers receiving 16.2k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Cellular and Molecular Neuroscience 7.7k
- Molecular Biology 5.0k
- Psychiatry and Mental health 4.2k
- Physiology 2.7k
- Neurology 2.6k
Countries citing papers authored by Gavin P. Reynolds
This map shows the geographic impact of Gavin P. Reynolds'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 Gavin P. Reynolds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin P. Reynolds more than expected).
Fields of papers citing papers by Gavin P. Reynolds
This network shows the impact of papers produced by Gavin P. Reynolds. 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 Gavin P. Reynolds. The network helps show where Gavin P. Reynolds may publish in the future.
Co-authorship network of co-authors of Gavin P. Reynolds
This figure shows the co-authorship network connecting the top 25 collaborators of Gavin P. Reynolds. A scholar is included among the top collaborators of Gavin P. Reynolds 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 Gavin P. Reynolds. Gavin P. Reynolds 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 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 43 | |
| 11 | 7 | |
| 12 | 215 | |
| 13 | 27 | |
| 14 | 22 | |
| 15 | 60 | |
| 16 | Status of the dopaminergic system in post-mortem brain in schizophrenia. | 18 |
| 17 | 2 | |
| 18 | 322 | |
| 19 | PRELIMINARY STUDIES OF HUMAN CORTICAL 5-HT2 RECEPTORS AND THEIR INVOLVEMENT IN SCHIZOPHRENIA AND NEUROLEPTIC DRUG-ACTION | 5 |
| 20 | Coal elemental analysis by prompt-neutron activation analysis | 2 |
About Gavin P. Reynolds
Gavin P. Reynolds is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 329 papers that have together received 16.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (97 papers), Neurotransmitter Receptor Influence on Behavior (83 papers) and Schizophrenia research and treatment (77 papers). The work is most often cited by research in Biological Psychiatry (2.1k citations), Cellular and Molecular Neuroscience (7.7k citations) and Behavioral Neuroscience (1000 citations). Gavin P. Reynolds has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Peter Riederer, Clare L. Beasley, Zhi Jun Zhang, K. A. Jellinger, E. Sofić, Shona L. Kirk, Joanna C. Neill, Xiaobin Zhang, Sally J. Pearson and Martin N. Rossor. Their work appears in journals such as Nature, Science and The Lancet.
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.