Frederick M. Kuenzi

1.3k citations
21 papers · 1.1k indexed · 1 hit paper · h-index 15

Frederick M. Kuenzi

21 papers receiving 1.1k citations

Hit Papers

Enhanced Learning and Memory and Altered GABAergic Synapt...5092002202620102018100200300400500

Peers

Frederick M. Kuenzi
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 812
  • Developmental Neuroscience 77
  • Cognitive Neuroscience 348
  • Biological Psychiatry 44
  • Neurology 133
Replace Chantal Mathis with:
Chantal Mathis France
Nathan R. Rustay United States
Anne Jouvenceau France
Evgeny A. Sametsky United States
Neil R. Hardingham United Kingdom
Fanny W.F. Shum Canada
T.W. Rosahl United States
J Skangiel-Kramska Poland
Yousheng Jia United States
DT Monaghan United States
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Citations per year

Countries citing papers authored by Frederick M. Kuenzi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Frederick M. Kuenzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frederick M. Kuenzi Line = papers co-authored together Frederick M. Kuenzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201014
2 200361
3 200316
4 200319
5 200328
6 200221
7
Enhanced Learning and Memory and Altered GABAergic Synaptic Transmission in Mice Lacking the α5 Subunit of the GABAAReceptorbreakdown →
2002509
8 2001175
9 200032
10 200041
11 20001
12 199819
13 199740
14 199722
15 199647
16 199517
17 19946
18 199411
19 19918
20
Empirically derived adaptive elements and networks simulate associative learning
19913

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), Alzheimer's disease research and treatments (4 papers), Photoreceptor and optogenetics research (3 papers), Neural dynamics and brain function (3 papers), Ion channel regulation and function (3 papers), Cephalopods and Marine Biology (3 papers) and Zebrafish Biomedical Research Applications (3 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.

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