Keith J. Page

2.8k total citations
30 papers, 2.2k citations indexed

About

Keith J. Page is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Keith J. Page has authored 30 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in Keith J. Page's work include Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (8 papers) and Alzheimer's disease research and treatments (6 papers). Keith J. Page is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (8 papers) and Alzheimer's disease research and treatments (6 papers). Keith J. Page collaborates with scholars based in United Kingdom, United States and Germany. Keith J. Page's co-authors include Barry J. Everitt, Trevor W. Robbins, Bradley T. Hyman, Hugh Marston, G. H. Jones, Richard Hollister, James Wilkinson, Dale Schenk, M. McNamara and Dora Games and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Neuroscience.

In The Last Decade

Keith J. Page

29 papers receiving 2.2k citations

Peers

Keith J. Page
Robert C. Malenka United States
Antonio Sanz-Clemente United States
Yi Nong United States
Daniel J. Whitcomb United Kingdom
Kaiwen He China
Li-Lian Yuan United States
Robert C. Malenka United States
Keith J. Page
Citations per year, relative to Keith J. Page Keith J. Page (= 1×) peers Robert C. Malenka

Countries citing papers authored by Keith J. Page

Since Specialization
Citations

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

Fields of papers citing papers by Keith J. Page

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith J. Page. 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 Keith J. Page. The network helps show where Keith J. Page may publish in the future.

Co-authorship network of co-authors of Keith J. Page

This figure shows the co-authorship network connecting the top 25 collaborators of Keith J. Page. A scholar is included among the top collaborators of Keith J. Page 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 Keith J. Page. Keith J. Page 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.
Ossola, Bernardino, Roland W. Bürli, Lee A. Dawson, et al.. (2024). Differential contribution of THIK-1 K+ channels and P2X7 receptors to ATP-mediated neuroinflammation by human microglia. Journal of Neuroinflammation. 21(1). 58–58. 14 indexed citations
2.
Brice, Nicola, Xiao Xu, Giuliano Giuseppe Stirparo, et al.. (2023). NETS‐seq advances the understanding of neuronal vulnerability in AD progression facilitating the identification of novel therapeutic targets at the single cell type level. Alzheimer s & Dementia. 19(S13). 1 indexed citations
3.
Depoil, David, et al.. (2021). 1016P ImmTAC redirect exhausted tumor-infiltrating T-cells: An effect enhanced by pembrolizumab against PD-L1+ tumors. Annals of Oncology. 32. S856–S856. 2 indexed citations
5.
Meldrum, A., Keith J. Page, Barry J. Everitt, & Stephen B. Dunnett. (2000). Age-dependence of malonate-induced striatal toxicity. Experimental Brain Research. 134(3). 335–343. 3 indexed citations
6.
Page, Keith J., et al.. (2000). Effects of systemic 3-nitropropionic acid-induced lesions of the dorsal striatum on cannabinoid and µ-opioid receptor binding in the basal ganglia. Experimental Brain Research. 130(2). 142–150. 35 indexed citations
7.
Browne, Susan, Janice L. Muir, Trevor W. Robbins, et al.. (1998). The cerebral metabolic effects of manipulating glutamatergic systems within the basal forebrain in conscious rats. European Journal of Neuroscience. 10(2). 649–663. 12 indexed citations
8.
Page, Keith J., Stephen B. Dunnett, & Barry J. Everitt. (1998). 3-nitropropionic acid-induced changes in the expression of metabolic and astrocyte mRNAs. Neuroreport. 9(12). 2881–2886. 9 indexed citations
9.
Page, Keith J., et al.. (1998). The expression of Huntingtin‐associated protein (HAP1) mRNA in developing, adult and ageing rat CNS: implications for Huntington's disease neuropathology. European Journal of Neuroscience. 10(5). 1835–1845. 43 indexed citations
10.
Page, Keith J., Richard Hollister, & Bradley T. Hyman. (1998). Dissociation of apolipoprotein and apolipoprotein receptor response to lesion in the rat brain: An in situ hybridization study. Neuroscience. 85(4). 1161–1171. 51 indexed citations
11.
Berezovska, Oksana, Mengqi Xia, Keith J. Page, et al.. (1997). Developmental Regulation of Presenilin mRNA Expression Parallels Notch Expression. Journal of Neuropathology & Experimental Neurology. 56(1). 40–44. 57 indexed citations
12.
Page, Keith J., Tae‐Wan Kim, Robert D. Moir, et al.. (1996). Alzheimer–associated presenilins 1 and 2 : Neuronal expression in brain and localization to intracellular membranes in mammalian cells. Nature Medicine. 2(2). 224–229. 452 indexed citations
13.
Page, Keith J. & Michael V. Sofroniew. (1996). Chapter 30 The ascending basal forebrain cholinergic system. Progress in brain research. 107. 513–522. 11 indexed citations
14.
Page, Keith J., Richard Hollister, Rudolph E. Tanzi, & Bradley T. Hyman. (1996). In situ hybridization analysis of presenilin 1 mRNA in Alzheimer disease and in lesioned rat brain. Proceedings of the National Academy of Sciences. 93(24). 14020–14024. 40 indexed citations
15.
Page, Keith J., D.J.S. Sirinathsinghji, & Barry J. Everitt. (1995). AMPA‐induced Lesions of the Basal Forebrain Differentially Affect Cholinergic and Non‐cholinergic Neurons: Lesion Assessment Using Quantitative In Situ Hybridization Histochemistry. European Journal of Neuroscience. 7(5). 1012–1021. 23 indexed citations
16.
Page, Keith J. & Barry J. Everitt. (1995). The Distribution of Neurons Coexpressing Immunoreactivity to AMPA‐sensitive Glutamate Receptor Subtypes (GluR1‐4) and Nerve Growth Factor Receptor in the Rat Basal Forebrain. European Journal of Neuroscience. 7(5). 1022–1033. 52 indexed citations
17.
Muir, Janice L., Keith J. Page, D.J.S. Sirinathsinghji, Trevor W. Robbins, & Barry J. Everitt. (1993). Excitotoxic lesions of basal forebrain cholinergic neurons: Effects on learning, memory and attention. Behavioural Brain Research. 57(2). 123–131. 170 indexed citations
18.
Page, Keith J., Barry J. Everitt, Trevor W. Robbins, Hugh Marston, & Lawrence S. Wilkinson. (1991). Dissociable effects on spatial maze and passive avoidance acquisition and retention following AMPA- and ibotenic acid-induced excitotoxic lesions of the basal forebrain in rats: Differential dependence on cholinergic neuronal loss. Neuroscience. 43(2-3). 457–472. 164 indexed citations
19.
Roberts, Angela, Trevor W. Robbins, Barry J. Everitt, et al.. (1990). The effects of excitotoxic lesions of the basal forebrain on the acquisition, retention and serial reversal of visual discriminations in marmosets. Neuroscience. 34(2). 311–329. 80 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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