David M. Bannerman
- Cellular and Molecular Neuroscience top 0.05%
- Cognitive Neuroscience top 0.1%
- Molecular Biology top 2%
- Behavioral Neuroscience top 0.1%
- Neurology top 0.2%
- Co-authors
- J. N. P. RawlinsMatthew F. S. RushworthMark E. WaltonStephen B. McHughRobert M. J. DeaconRolf SprengelDavid J. SandersonMark Good
- Topics
- Neuroscience and Neuropharmacology Research (123 papers)Memory and Neural Mechanisms (113 papers)Stress Responses and Cortisol (36 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
David M. Bannerman
200 papers receiving 16.3k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Cellular and Molecular Neuroscience 8.7k
- Cognitive Neuroscience 8.6k
- Molecular Biology 2.9k
- Behavioral Neuroscience 2.4k
- Neurology 2.1k
Countries citing papers authored by David M. Bannerman
This map shows the geographic impact of David M. Bannerman'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 M. Bannerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Bannerman more than expected).
Fields of papers citing papers by David M. Bannerman
This network shows the impact of papers produced by David M. Bannerman. 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 M. Bannerman. The network helps show where David M. Bannerman may publish in the future.
Co-authorship network of co-authors of David M. Bannerman
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Bannerman. A scholar is included among the top collaborators of David M. Bannerman 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 M. Bannerman. David M. Bannerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 50 | |
| 5 | 25 | |
| 6 | 20 | |
| 7 | 16 | |
| 8 | 14 | |
| 9 | 28 | |
| 10 | 19 | |
| 11 | 140 | |
| 12 | 312 | |
| 13 | A MOUSE MODEL OF DELIRIUM DURING DEMENTIA: SYSTEMIC INFLAMMATION INDUCES ACUTE WORKING MEMORY DEFICITS IN THE PRIMED BRAIN | 3 |
| 14 | Enhanced long-term and impaired short-term spatial memory in GluA1 AMPA receptor subunit knockout mice: Evidence for a dual-process memory model (vol 16, 379, 2009) | 1 |
| 15 | 287 | |
| 16 | 113 | |
| 17 | 259 | |
| 18 | 63 | |
| 19 | 28 | |
| 20 | 14 |
About David M. Bannerman
David M. Bannerman is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 202 papers that have together received 16.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (123 papers), Memory and Neural Mechanisms (113 papers) and Stress Responses and Cortisol (36 papers). The work is most often cited by research in Behavioral Neuroscience (2.4k citations), Cellular and Molecular Neuroscience (8.7k citations) and Cognitive Neuroscience (8.6k citations). David M. Bannerman has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include J. N. P. Rawlins, Matthew F. S. Rushworth, Mark E. Walton, Stephen B. McHugh, Robert M. J. Deacon, Rolf Sprengel, David J. Sanderson, Mark Good, Steven W. Kennerley and Peter H. Seeburg. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.