Stuart Pickering‐Brown

34.5k total citations · 1 hit paper
111 papers, 6.6k citations indexed

About

Stuart Pickering‐Brown is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Stuart Pickering‐Brown has authored 111 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Neurology, 62 papers in Physiology and 35 papers in Molecular Biology. Recurrent topics in Stuart Pickering‐Brown's work include Amyotrophic Lateral Sclerosis Research (65 papers), Alzheimer's disease research and treatments (62 papers) and Parkinson's Disease Mechanisms and Treatments (39 papers). Stuart Pickering‐Brown is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (65 papers), Alzheimer's disease research and treatments (62 papers) and Parkinson's Disease Mechanisms and Treatments (39 papers). Stuart Pickering‐Brown collaborates with scholars based in United Kingdom, Japan and United States. Stuart Pickering‐Brown's co-authors include Julie S. Snowden, David Mann, David Neary, Yvonne S. Davidson, David M. A. Mann, Sara Rollinson, Anna Richardson, Takeshi Iwatsubo, J. C. Thompson and Ian R. Mackenzie and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Stuart Pickering‐Brown

110 papers receiving 6.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

C9orf72 repeat expansions cause neurodegeneration in Drosophila through arginine-rich proteins

2014 510 citations Sarah Mizielinska, Sebastian Grönke et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stuart Pickering‐Brown United Kingdom	43	4.5k	3.2k	2.1k	1.5k	1.2k	111	6.6k
Matt Baker United States	38	3.4k 0.8×	2.2k 0.7×	1.8k 0.9×	1.3k 0.9×	1.1k 0.9×	83	5.1k
Kuniaki Tsuchiya Japan	35	4.9k 1.1×	2.5k 0.8×	2.4k 1.1×	1.7k 1.2×	1.3k 1.0×	157	7.4k
Theresa Schuck United States	15	4.3k 1.0×	1.9k 0.6×	2.7k 1.3×	1.1k 0.7×	1.8k 1.4×	19	6.4k
Matthew C. Micsenyi United States	10	4.0k 0.9×	1.9k 0.6×	2.4k 1.1×	989 0.7×	1.7k 1.4×	11	5.9k
Deepak M. Sampathu United States	10	4.5k 1.0×	1.6k 0.5×	2.4k 1.1×	1.0k 0.7×	1.8k 1.4×	10	5.9k
Yuko Saito Japan	44	2.9k 0.6×	2.8k 0.9×	2.0k 0.9×	1.6k 1.1×	267 0.2×	191	6.6k
Thomas T. Chou United States	13	4.0k 0.9×	1.4k 0.5×	2.4k 1.1×	939 0.6×	1.7k 1.4×	21	5.6k
Evelyn Jaros United Kingdom	40	2.2k 0.5×	1.7k 0.5×	2.6k 1.2×	901 0.6×	337 0.3×	77	5.8k
Jochen H. Weishaupt Germany	48	3.2k 0.7×	1.2k 0.4×	3.0k 1.4×	1.4k 0.9×	1.4k 1.1×	146	6.9k
John Ravits United States	40	5.3k 1.2×	1.1k 0.3×	2.8k 1.3×	1.4k 0.9×	3.1k 2.5×	93	7.5k

Countries citing papers authored by Stuart Pickering‐Brown

Since Specialization

Citations

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

Fields of papers citing papers by Stuart Pickering‐Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart Pickering‐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 Stuart Pickering‐Brown. The network helps show where Stuart Pickering‐Brown may publish in the future.

Co-authorship network of co-authors of Stuart Pickering‐Brown

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

All Works

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20 of 20 papers shown

Ryan, Sarah, et al.. (2022). C9orf72 dipeptides disrupt the nucleocytoplasmic transport machinery and cause TDP-43 mislocalisation to the cytoplasm. Scientific Reports. 12(1). 4799–4799. 28 indexed citations

West, Ryan J. H., et al.. (2020). Co-expression of C9orf72 related dipeptide-repeats over 1000 repeat units reveals age- and combination-specific phenotypic profiles in Drosophila. Acta Neuropathologica Communications. 8(1). 158–158. 27 indexed citations

Saxon, Jennifer A., J. C. Thompson, Jennifer Harris, et al.. (2020). Cognition and behaviour in frontotemporal dementia with and without amyotrophic lateral sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 91(12). 1304–1311. 20 indexed citations

Keogh, Michael J., Wei Wei, Juvid Aryaman, et al.. (2018). Oligogenic genetic variation of neurodegenerative disease genes in 980 postmortem human brains. Journal of Neurology Neurosurgery & Psychiatry. 89(8). 813–816. 17 indexed citations

Davidson, Yvonne S., Andrew Robinson, Sara Rollinson, et al.. (2017). Immunohistochemical detection of C9orf72 protein in frontotemporal lobar degeneration and motor neurone disease: patterns of immunostaining and an evaluation of commercial antibodies. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 19(1-2). 102–111. 6 indexed citations

Cooper‐Knock, Johnathan, Adrian Higginbottom, Matthew J. Stopford, et al.. (2015). Antisense RNA foci in the motor neurons of C9ORF72-ALS patients are associated with TDP-43 proteinopathy. Acta Neuropathologica. 130(1). 63–75. 129 indexed citations

Mizielinska, Sarah, Sebastian Grönke, Teresa Niccoli, et al.. (2014). C9orf72 repeat expansions cause neurodegeneration in Drosophila through arginine-rich proteins. Science. 345(6201). 1192–1194. 510 indexed citations breakdown →

Lant, Suzannah, Andrew Robinson, J. C. Thompson, et al.. (2014). Patterns of Microglial Cell Activation in Frontotemporal Lobar Degeneration. Neuropathol Appl Neurobiol. Neuropathology and Applied Neurobiology. 2 indexed citations

Snowden, Julie S., Janet Harris, Anna Richardson, et al.. (2012). Distinct clinical characteristics in patients with frontotemporal dementia and C9ORF72 mutations: a study of demographics, neurology, behaviour, cognition and histopathology. Brain. 5 indexed citations

10.

Rollinson, Sara, Simon Mead, Julie S. Snowden, et al.. (2010). FTLD GWAS Replication confirms a risk locus shared with ALS. Neurobiology of Aging.

11.

Pickering‐Brown, Stuart. (2009). Review: Recent progress in frontotemporal lobar degeneration. Neuropathology and Applied Neurobiology. 36(1). 4–16. 9 indexed citations

12.

Foulds, Penelope G., Linda Gibbons, Yvonne S. Davidson, et al.. (2008). TDP-43 protein in plasma may index TDP-43 brain pathology in Alzheimer’s disease and frontotemporal lobar degeneration. Acta Neuropathologica. 116(2). 141–146. 125 indexed citations

13.

Wszołek, Zbigniew K., Yoshio Tsuboi, Bernardino Ghetti, et al.. (2006). Frontotemporal dementia and parkinsonism linked to chromosome 17 (FTDP-17). Research Explorer (The University of Manchester). 2 indexed citations

14.

Snowden, Julie S., Stuart Pickering‐Brown, Ian R. Mackenzie, et al.. (2006). Progranulin gene mutations associated with frontotemporal dementia and progressive non-fluent aphasia. Brain. 129(11). 3091–3102. 158 indexed citations

15.

Hughes, Alun T. L., David Mann, & Stuart Pickering‐Brown. (2003). Tau haplotype frequency in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Experimental Neurology. 181(1). 12–16. 33 indexed citations

16.

Pickering‐Brown, Stuart, et al.. (2003). The neuropathology of frontotemporal lobar degeneration with respect to the cytological and biochemical characteristics of tau protein. Neuropathology and Applied Neurobiology. 30(1). 1–18. 64 indexed citations

17.

Pickering‐Brown, Stuart, Matt Baker, Thomas D. Bird, et al.. (2003). Evidence of a founder effect in families with frontotemporal dementia that harbor the tau +16 splice mutation. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 125B(1). 79–82. 18 indexed citations

18.

Pickering‐Brown, Stuart, et al.. (1996). The relative abundance of dopamine D4 receptor mRNA in post mortem brains of schizophrenics and controls. Schizophrenia Research. 20(1-2). 171–174. 23 indexed citations

19.

Mann, David M. A., Stuart Pickering‐Brown, Takeshi Iwatsubo, et al.. (1995). The extent of amyloid deposition in brain in patients with Down's syndrome does not depend upon the apolipoprotein E genotype. Neuroscience Letters. 196(1-2). 105–108. 19 indexed citations

20.

Pickering‐Brown, Stuart, David Mann, F. Owen, et al.. (1995). Allelic variations in apolipoprotein E and prion protein genotype related to plaque formation and age of onset in sporadic Creutzfeldt-Jakob disease. Neuroscience Letters. 187(2). 127–129. 23 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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