John R. Huxter

1.6k citations
16 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
Memory and Neural Mechanisms (12 papers)Neuroscience and Neuropharmacology Research (11 papers)Neural dynamics and brain function (6 papers)

In The Last Decade

John R. Huxter

16 papers receiving 1.1k citations

Hit Papers

Independent rate and temporal coding in hippocampal pyram...20032026201020182003100200300400

Peers

John R. Huxter
Comparison fields: 5 of 51
  • Cognitive Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 912
  • Neurology 107
  • Electrical and Electronic Engineering 62
  • Sensory Systems 60
Replace Catherine A. Thorn with:
Catherine A. Thorn United States
Patrick L. Tierney United States
Yves Kremer Switzerland
Ning-long Xu China
Uhnoh Kim United States
Tora Bonnevie Norway
Ian Bowman United States
Seita Yamashita United States
Nicholas N. Foster United States
Evgueniy V. Lubenov United States
John R. Huxter relative to Catherine A. Thorn United States Catherine A. Thorn's profile →
Citations per field
00.5×3.4×
Catherine A. Thorn · 1×
Citations per year

Countries citing papers authored by John R. Huxter

Since Specialization
Citations

This map shows the geographic impact of John R. Huxter'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 John R. Huxter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Huxter more than expected).

Fields of papers citing papers by John R. Huxter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Huxter. 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 John R. Huxter. The network helps show where John R. Huxter may publish in the future.

Co-authorship network of co-authors of John R. Huxter

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Huxter. A scholar is included among the top collaborators of John R. Huxter 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 John R. Huxter. John R. Huxter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 7
2 6
3 16
4 23
5 20
6 8
7 19
8 43
9 121
10 217
11 160
12 31
13
Independent rate and temporal coding in hippocampal pyramidal cellsbreakdown →
423
14 16
15 12
16 7

About John R. Huxter

John R. Huxter is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (12 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (912 citations) and Neurology (107 citations). John R. Huxter has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Neil Burgess, John O’Keefe, Kevin Allen, Jozsef Csicsvari, Joseph O’Neill, Robert U. Muller, Balázs Hangya, Yu Li, András Czurkó and Gerard M. Martin. Their work appears in journals such as Nature, Journal of Neuroscience and Nature 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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