David R. Poyner
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.2%
- Psychiatry and Mental health top 1%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Debbie L. HayAlex C. ConnerMark WheatleyChristopher S. WalkerJohn SimmsJames BarwellPatrick M. SextonMichael L. Garelja
- Topics
- Receptor Mechanisms and Signaling (102 papers)Neuropeptides and Animal Physiology (98 papers)Peptidase Inhibition and Analysis (16 papers)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
David R. Poyner
151 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 3.9k
- Cellular and Molecular Neuroscience 3.6k
- Psychiatry and Mental health 883
- Physiology 688
- Endocrinology, Diabetes and Metabolism 647
Countries citing papers authored by David R. Poyner
This map shows the geographic impact of David R. Poyner'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 David R. Poyner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Poyner more than expected).
Fields of papers citing papers by David R. Poyner
This network shows the impact of papers produced by David R. Poyner. 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 David R. Poyner. The network helps show where David R. Poyner may publish in the future.
Co-authorship network of co-authors of David R. Poyner
This figure shows the co-authorship network connecting the top 25 collaborators of David R. Poyner. A scholar is included among the top collaborators of David R. Poyner 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 David R. Poyner. David R. Poyner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 36 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 19 | |
| 7 | 286 | |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 36 | |
| 11 | 99 | |
| 12 | 18 | |
| 13 | 233 | |
| 14 | 27 | |
| 15 | 46 | |
| 16 | 18 | |
| 17 | 18 | |
| 18 | 29 | |
| 19 | 26 | |
| 20 | Peptide mapping studies on muscarinic receptors: receptor structure and location of the ligand binding site. | 17 |
About David R. Poyner
David R. Poyner is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 154 papers that have together received 5.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (102 papers), Neuropeptides and Animal Physiology (98 papers) and Peptidase Inhibition and Analysis (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.6k citations), Psychiatry and Mental health (883 citations) and Molecular Biology (3.9k citations). David R. Poyner has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Debbie L. Hay, Alex C. Conner, Mark Wheatley, Christopher S. Walker, John Simms, James Barwell, Patrick M. Sexton, Michael L. Garelja, David M. Smith and Stephen G. Howitt. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Molecular Cell.
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.