Jon T. Brown

3.3k citations
76 papers · 2.1k · h-index 30

Impact in

Papers in

Jon T. Brown

74 papers receiving 2.1k citations

Peers

Jon T. Brown
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 1.2k
  • Cognitive Neuroscience 723
  • Sensory Systems 140
  • Neurology 235
  • Physiology 608
Replace Matthew D. Troyer with:
Matthew D. Troyer United States
Stefan Remy Germany
Keith J. Page United Kingdom
Graham L. Collingridge United Kingdom
Thomas McMahon United States
Li-Lian Yuan United States
M. Matthew Oh United States
Mahyar Janahmadi Iran
Evgeny A. Sametsky United States
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Jon T. Brown relative to Matthew D. Troyer United States Matthew D. Troyer's profile →
Citations per field
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Matthew D. Troyer · 1×
Citations per year

Countries citing papers authored by Jon T. Brown

Since Specialization
Citations

This map shows the geographic impact of Jon T. Brown'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 Jon T. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon T. Brown more than expected).

Fields of papers citing papers by Jon T. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon T. Brown. 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 Jon T. Brown. The network helps show where Jon T. Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside Jon T. Brown, 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 Jon T. Brown Line = papers co-authored together Jon T. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011106
2 2020102
3 2001101
4 200997
5 201674
6 201374
7 200565
8 201465
9 200664
10 200760
11 200958
12 201457
13 200856
14 201052
15 201647
16 201144
17 201540
18 201739
19 201337
20 201536

About Jon T. Brown

Jon T. Brown is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Physiology and Pharmacology, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (56 papers), Alzheimer's disease research and treatments (19 papers), Memory and Neural Mechanisms (19 papers), Neural dynamics and brain function (17 papers), Ion channel regulation and function (15 papers), Neuroscience and Neural Engineering (11 papers), Receptor Mechanisms and Signaling (10 papers) and Photoreceptor and optogenetics research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Cognitive Neuroscience (723 citations), Sensory Systems (140 citations), Neurology (235 citations) and Physiology (608 citations). Jon T. Brown has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Andrew D. Randall, Ceri H. Davies, Jonathan Witton, Francesco Tamagnini, Menelas N. Pangalos, Matthew W. Jones, Steven C. Leiser, Jeannie Chin, Krasimira Tsaneva‐Atanasova and Talitha L. Kerrigan. Their work appears in journals such as European Journal of Neuroscience, Scientific Reports, The Journal of Physiology, Neuropharmacology and Journal of 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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