Andrew Robinson

7.3k total citations
110 papers, 4.4k citations indexed

About

Andrew Robinson is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Andrew Robinson has authored 110 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Physiology, 35 papers in Neurology and 30 papers in Molecular Biology. Recurrent topics in Andrew Robinson's work include Alzheimer's disease research and treatments (34 papers), Amyotrophic Lateral Sclerosis Research (22 papers) and Parkinson's Disease Mechanisms and Treatments (18 papers). Andrew Robinson is often cited by papers focused on Alzheimer's disease research and treatments (34 papers), Amyotrophic Lateral Sclerosis Research (22 papers) and Parkinson's Disease Mechanisms and Treatments (18 papers). Andrew Robinson collaborates with scholars based in United Kingdom, United States and Japan. Andrew Robinson's co-authors include Yvonne S. Davidson, David M. A. Mann, Rob Horne, Julie S. Snowden, Stuart Pickering‐Brown, Anne Kennedy, David Mann, Anne Rogers, J. C. Thompson and Masato Hasegawa and has published in prestigious journals such as Nature, The Lancet and Molecular and Cellular Biology.

In The Last Decade

Andrew Robinson

108 papers receiving 4.3k citations

Peers

Andrew Robinson
Karen L. Edwards United States
Yvette P. Conley United States
Jane A. Driver United States
Clement T. Loy Australia
Hideo Sasaki Japan
A. J. Larner United Kingdom
Hilary Watt United Kingdom
Lorene M. Nelson United States
Ruth Dobson United Kingdom
David W. Fardo United States
Karen L. Edwards United States
Andrew Robinson
Citations per year, relative to Andrew Robinson Andrew Robinson (= 1×) peers Karen L. Edwards

Countries citing papers authored by Andrew Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Robinson. 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 Andrew Robinson. The network helps show where Andrew Robinson may publish in the future.

Co-authorship network of co-authors of Andrew Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Robinson. A scholar is included among the top collaborators of Andrew Robinson 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 Andrew Robinson. Andrew Robinson 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.
Didikoğlu, Altuğ, Antony Payton, Chris Murgatroyd, et al.. (2024). Depression in older adults and its associations with sleep and synaptic density. Journal of Affective Disorders. 366. 379–385. 3 indexed citations
2.
Vishweswaraiah, Sangeetha, Ali Yılmaz, Xiaobei Pan, et al.. (2023). Integrative Analysis Unveils the Correlation of Aminoacyl-tRNA Biosynthesis Metabolites with the Methylation of the SEPSECS Gene in Huntington’s Disease Brain Tissue. Genes. 14(9). 1752–1752. 2 indexed citations
3.
Tarutani, Airi, Sofia Lövestam, Xianjun Zhang, et al.. (2023). Cryo‐EM structures of tau filaments from SH‐SY5Y cells seeded with brain extracts from cases of Alzheimer's disease and corticobasal degeneration. FEBS Open Bio. 13(8). 1394–1404. 32 indexed citations
4.
Arseni, Diana, Alexey G. Murzin, Sew‐Yeu Peak‐Chew, et al.. (2023). TDP-43 forms amyloid filaments with a distinct fold in type A FTLD-TDP. Nature. 620(7975). 898–903. 72 indexed citations
5.
Tarutani, Airi, Fuyuki Kametani, Yuko Saito, et al.. (2023). Distinct tau folds initiate templated seeding and alter the post-translational modification profile. Brain. 146(12). 4988–4999. 8 indexed citations
6.
Didikoğlu, Altuğ, Nisha Nair, Andrew Robinson, et al.. (2021). The effect of season of birth on brain epigenome-wide DNA methylation of older adults. Journal of Developmental Origins of Health and Disease. 13(3). 367–377. 5 indexed citations
7.
Bradburn, Steven, et al.. (2021). Superior Frontal Gyrus TOMM40-APOE Locus DNA Methylation in Alzheimer’s Disease. Journal of Alzheimer s Disease Reports. 5(1). 275–282. 10 indexed citations
8.
Church, Stephanie J., Jingshu Xu, Andrew Robinson, et al.. (2020). Effects of Alterations of Post-Mortem Delay and Other Tissue-Collection Variables on Metabolite Levels in Human and Rat Brain. Metabolites. 10(11). 438–438. 14 indexed citations
9.
Bradburn, Steven, et al.. (2020). Regulation of interleukin 6 by a polymorphic CpG within the frontal cortex in Alzheimer’s disease. Neurobiology of Aging. 92. 75–81. 8 indexed citations
10.
Graham, Stewart F., Xiaobei Pan, Ali Yılmaz, et al.. (2018). Targeted biochemical profiling of brain from Huntington's disease patients reveals novel metabolic pathways of interest. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(7). 2430–2437. 26 indexed citations
11.
Davidson, Yvonne S., Andrew Robinson, Sara Rollinson, et al.. (2017). Heterogeneous ribonuclear protein E2 (hnRNP E2) is associated with TDP-43-immunoreactive neurites in Semantic Dementia but not with other TDP-43 pathological subtypes of Frontotemporal Lobar Degeneration. Acta Neuropathologica Communications. 5(1). 54–54. 17 indexed citations
12.
Behrouzi, Roya, Xiawei Liu, Andrew Robinson, et al.. (2016). Pathological tau deposition in Motor Neurone Disease and frontotemporal lobar degeneration associated with TDP-43 proteinopathy. Acta Neuropathologica Communications. 4(1). 33–33. 32 indexed citations
13.
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
14.
Zhang, Xuekai, Jing Shi, Jinzhou Tian, et al.. (2014). Expression of one important chaperone protein, heat shock protein 27, in neurodegenerative diseases. Alzheimer s Research & Therapy. 6(9). 78–78. 7 indexed citations
15.
Yeh, Hsin, Daniel Young, Juri G. Gelovani, et al.. (2013). Histone deacetylase class II and acetylated core histone immunohistochemistry in human brains with Huntington’s disease. Brain Research. 1504. 16–24. 35 indexed citations
16.
Selinger, Christian P., et al.. (2012). PMO-241 Conveying medication benefits to ulcerative colitis patients: what thresholds for adherence are applied?. Gut. 61(Suppl 2). A172.3–A173. 1 indexed citations
17.
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
18.
Pierce, David M., Stuart Hossack, Lona Poole, et al.. (2010). The effect of sevelamer carbonate and lanthanum carbonate on the pharmacokinetics of oral calcitriol. Nephrology Dialysis Transplantation. 26(5). 1615–1621. 29 indexed citations
19.
20.
Robinson, Andrew, David G. Thompson, David Wilkin, & Chris Roberts. (2001). Guided self-management and patient-directed follow-up of ulcerative colitis: a randomised trial. The Lancet. 358(9286). 976–981. 164 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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