Frederick M. Kuenzi
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Physiology top 10%
- Neurology top 5%
- Co-authors
- Guy R. SeabrookNicholas DaleThomas W. RosahlWolfgang JarolimekRobin A. MortonStephen M. FitzjohnKaren MaubachCyrille Sur
- Topics
- Neuroscience and Neuropharmacology Research (13 papers)Neurobiology and Insect Physiology Research (5 papers)Alzheimer's disease research and treatments (4 papers)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Frederick M. Kuenzi
21 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 812
- Molecular Biology 369
- Cognitive Neuroscience 348
- Physiology 273
- Neurology 133
Countries citing papers authored by Frederick M. Kuenzi
This map shows the geographic impact of Frederick M. Kuenzi'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 Frederick M. Kuenzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederick M. Kuenzi more than expected).
Fields of papers citing papers by Frederick M. Kuenzi
This network shows the impact of papers produced by Frederick M. Kuenzi. 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 Frederick M. Kuenzi. The network helps show where Frederick M. Kuenzi may publish in the future.
Co-authorship network of co-authors of Frederick M. Kuenzi
This figure shows the co-authorship network connecting the top 25 collaborators of Frederick M. Kuenzi. A scholar is included among the top collaborators of Frederick M. Kuenzi 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 Frederick M. Kuenzi. Frederick M. Kuenzi 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 | 61 | |
| 3 | 16 | |
| 4 | 19 | |
| 5 | 28 | |
| 6 | 21 | |
| 7 | Enhanced Learning and Memory and Altered GABAergic Synaptic Transmission in Mice Lacking the α5 Subunit of the GABAAReceptorbreakdown → | 509 |
| 8 | 175 | |
| 9 | 32 | |
| 10 | 41 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 40 | |
| 14 | 22 | |
| 15 | 47 | |
| 16 | 17 | |
| 17 | 6 | |
| 18 | 11 | |
| 19 | 8 | |
| 20 | Empirically derived adaptive elements and networks simulate associative learning | 3 |
About Frederick M. Kuenzi
Frederick M. Kuenzi is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Neurology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Neurobiology and Insect Physiology Research (5 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (812 citations), Developmental Neuroscience (77 citations) and Cognitive Neuroscience (348 citations). Frederick M. Kuenzi has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Guy R. Seabrook, Nicholas Dale, Thomas W. Rosahl, Wolfgang Jarolimek, Robin A. Morton, Stephen M. Fitzjohn, Karen Maubach, Cyrille Sur, Paul J. Whiting and Owain W. Howell. Their work appears in journals such as Journal of Neuroscience, Brain Research and Neuroscience.
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.