Jon T. Brown

3.3k total citations
76 papers, 2.1k citations indexed

About

Jon T. Brown is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Jon T. Brown has authored 76 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cellular and Molecular Neuroscience, 33 papers in Molecular Biology and 31 papers in Cognitive Neuroscience. Recurrent topics in Jon T. Brown's work include Neuroscience and Neuropharmacology Research (56 papers), Alzheimer's disease research and treatments (19 papers) and Memory and Neural Mechanisms (19 papers). Jon T. Brown is often cited by papers focused on Neuroscience and Neuropharmacology Research (56 papers), Alzheimer's disease research and treatments (19 papers) and Memory and Neural Mechanisms (19 papers). Jon T. Brown collaborates with scholars based in United Kingdom, United States and Italy. Jon T. Brown's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Jon T. Brown

74 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jon T. Brown United Kingdom 30 1.2k 760 723 608 235 76 2.1k
Matthew D. Troyer United States 19 1.3k 1.1× 751 1.0× 643 0.9× 691 1.1× 241 1.0× 34 2.9k
Thomas McMahon United States 31 1.6k 1.3× 1.5k 1.9× 480 0.7× 640 1.1× 188 0.8× 45 3.0k
Javad Mirnajafi‐Zadeh Iran 30 1.2k 1.1× 735 1.0× 617 0.9× 255 0.4× 341 1.5× 155 2.8k
Constantinos D. Paspalas United States 24 1.5k 1.3× 1.0k 1.3× 1.1k 1.6× 345 0.6× 296 1.3× 35 2.6k
Shutaro Katsurabayashi Japan 25 1.1k 1.0× 1.1k 1.4× 327 0.5× 337 0.6× 274 1.2× 74 2.3k
Saobo Lei United States 29 1.8k 1.5× 1.3k 1.7× 640 0.9× 277 0.5× 194 0.8× 63 2.6k
Inna Slutsky Israel 26 1.3k 1.1× 985 1.3× 526 0.7× 1.1k 1.8× 308 1.3× 43 2.8k
Li-Lian Yuan United States 13 1.4k 1.2× 1.1k 1.5× 409 0.6× 739 1.2× 273 1.2× 15 2.2k
H. Rheinallt Parri United Kingdom 27 1.6k 1.4× 908 1.2× 757 1.0× 372 0.6× 493 2.1× 50 2.4k
Daniel A. Nicholson United States 28 1.4k 1.2× 693 0.9× 908 1.3× 563 0.9× 525 2.2× 51 2.6k

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-authorship network of co-authors of Jon T. Brown

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

All Works

20 of 20 papers shown
1.
Leung, Szi Kay, Rosemary A. Bamford, Aaron R. Jeffries, et al.. (2024). Long-read transcript sequencing identifies differential isoform expression in the entorhinal cortex in a transgenic model of tau pathology. Nature Communications. 15(1). 6458–6458. 5 indexed citations
2.
Brown, Jon T., et al.. (2024). TauP301L disengages from the proteosome core complex and neurogranin coincident with enhanced neuronal network excitability. Cell Death and Disease. 15(6). 429–429. 3 indexed citations
3.
Brown, Jon T., et al.. (2022). Tau isoform-specific enhancement of L-type calcium current and augmentation of afterhyperpolarization in rat hippocampal neurons. Scientific Reports. 12(1). 15231–15231. 7 indexed citations
4.
Gelegen, Çiğdem, Diana Cash, Katarina Ilić, et al.. (2022). Relevance of sleep and associated structural changes in GBA1 mouse to human rapid eye movement behavior disorder. Scientific Reports. 12(1). 7973–7973. 14 indexed citations
5.
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Telezhkin, Vsevolod, Marco Straccia, Polina Yarova, et al.. (2018). Kv7 channels are upregulated during striatal neuron development and promote maturation of human iPSC-derived neurons. Pflügers Archiv - European Journal of Physiology. 470(9). 1359–1376. 11 indexed citations
7.
8.
Witton, Jonathan, Ragunathan Padmashri, L. Zinyuk, et al.. (2015). Hippocampal circuit dysfunction in the Tc1 mouse model of Down syndrome. Nature Neuroscience. 18(9). 1291–1298. 25 indexed citations
9.
Tamagnini, Francesco, et al.. (2015). Altered intrinsic excitability of hippocampal CA1 pyramidal neurons in aged PDAPP mice. Frontiers in Cellular Neuroscience. 9. 372–372. 40 indexed citations
10.
Brown, Jon T., Atticus H. Hainsworth, Alessandro Stefani, & Andrew D. Randall. (2012). Whole-Cell Patch-Clamp Recording of Voltage-Sensitive Ca2+ Channel Currents in Single Cells: Heterologous Expression Systems and Neurones. Methods in molecular biology. 937. 123–148. 2 indexed citations
11.
Randall, Andrew D., et al.. (2012). Age-related changes to Na+ channel gating contribute to modified intrinsic neuronal excitability. Neurobiology of Aging. 33(11). 2715–2720. 33 indexed citations
12.
Witton, Jonathan, Jon T. Brown, Matthew W. Jones, & Andrew D. Randall. (2010). Altered synaptic plasticity in the mossy fibre pathway of transgenic mice expressing mutant amyloid precursor protein. Molecular Brain. 3(1). 32–32. 30 indexed citations
13.
Brown, Jon T.. (2010). Vesicular release of glutamate utilizes the proton gradient between the vesicle and synaptic cleft. Frontiers in Synaptic Neuroscience. 2. 15–15. 5 indexed citations
14.
Henley, Jeremy M., et al.. (2010). Voltage- and temperature-dependent gating of heterologously expressed channelrhodopsin-2. Journal of Neuroscience Methods. 193(1). 7–13. 18 indexed citations
15.
Randall, Andrew D., Jonathan Witton, Clare Booth, Antony Hynes-Allen, & Jon T. Brown. (2010). The functional neurophysiology of the amyloid precursor protein (APP) processing pathway. Neuropharmacology. 59(4-5). 243–267. 52 indexed citations
16.
Sabatino, Antonio Di, L. Rovedatti, Rejbinder Kaur, et al.. (2009). Targeting Gut T Cell Ca2+ Release-Activated Ca2+ Channels Inhibits T Cell Cytokine Production and T-Box Transcription Factor T-Bet in Inflammatory Bowel Disease. The Journal of Immunology. 183(5). 3454–3462. 97 indexed citations
17.
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Brown, Jon T., Ceri H. Davies, & Andrew D. Randall. (2007). Synaptic activation of GABAB receptors regulates neuronal network activity and entrainment. European Journal of Neuroscience. 25(10). 2982–2990. 60 indexed citations
19.
Brown, Jon T., et al.. (2005). A pharmacological investigation of the role of GLUK5-containing receptors in kainate-driven hippocampal gamma band oscillations. Neuropharmacology. 50(1). 47–56. 19 indexed citations
20.
Spencer, Jonathan P., Jon T. Brown, Jill Richardson, et al.. (2004). Modulation of hippocampal excitability by 5-HT4 receptor agonists persists in a transgenic model of Alzheimer's disease. Neuroscience. 129(1). 49–54. 27 indexed citations

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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