Simon Mead
Impact in
- Psychiatry and Mental health top 0.1%
- Dementia and Cognitive Impairment Research
- Physiology top 0.05%
- Alzheimer's disease research and treatments
Papers in
- Neurology 73
- Amyotrophic Lateral Sclerosis Research 65
- Intracerebral and Subarachnoid Hemorrhage Research 6
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- Dementia and Cognitive Impairment Research 74
- Co-authors
- John Collinge (130 shared papers)Jon A. Beck (45 shared papers)Jonathan Daniel Rohrer (36 shared papers)Tamás Révész (21 shared papers)Nick C. Fox (33 shared papers)Jason D. Warren (32 shared papers)Martin N. Rossor (31 shared papers)Peter Rudge (48 shared papers)
- Journals
- Brain (23 papers)Journal of Neurology Neurosurgery & Psychiatry (21 papers)The Lancet Neurology (19 papers)Neurobiology of Aging (17 papers)Neurology (15 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Simon Mead
312 papers receiving 33.8k citations
Simon Mead's Hit Papers
Peers
Comparison fields: 5 of 211
- Psychiatry and Mental health 9.4k
- Physiology 11.4k
- Neurology 5.5k
- Neurology 2.5k
- Molecular Biology 7.2k
Countries citing papers authored by Simon Mead
This map shows the geographic impact of Simon Mead'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 Simon Mead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Mead more than expected).
Fields of papers citing papers by Simon Mead
This network shows the impact of papers produced by Simon Mead. 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 Simon Mead. The network helps show where Simon Mead may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Mead, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 324 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease Hit paper breakdown → | 2013 | 3486 |
| 2 | Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease Hit paper breakdown → | 2009 | 2884 |
| 3 | Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing Hit paper breakdown → | 2019 | 2140 |
| 4 | Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease Hit paper breakdown → | 2011 | 1664 |
| 5 | New insights into the genetic etiology of Alzheimer’s disease and related dementias Hit paper breakdown → | 2022 | 1531 |
| 6 | Analysis of shared heritability in common disorders of the brain Hit paper breakdown → | 2018 | 1477 |
| 7 | Gene-Wide Analysis Detects Two New Susceptibility Genes for Alzheimer's Disease Hit paper breakdown → | 2014 | 1332 |
| 8 | Frequency of the C9orf72 hexanucleotide repeat expansion in patients with amyotrophic lateral sclerosis and frontotemporal dementia: a cross-sectional study Hit paper breakdown → | 2012 | 1005 |
| 9 | Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease Hit paper breakdown → | 2017 | 764 |
| 10 | Genetic Evidence Implicates the Immune System and Cholesterol Metabolism in the Aetiology of Alzheimer's Disease Hit paper breakdown → | 2010 | 551 |
| 11 | Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis Hit paper breakdown → | 2015 | 464 |
| 12 | Prevalence, characteristics, and survival of frontotemporal lobar degeneration syndromes Hit paper breakdown → | 2016 | 415 |
| 13 | Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference Hit paper breakdown → | 2018 | 411 |
| 14 | 1999 | 409 | |
| 15 | 2009 | 402 | |
| 16 | 2015 | 393 | |
| 17 | Serum neurofilament light chain protein is a measure of disease intensity in frontotemporal dementia Hit paper breakdown → | 2016 | 386 |
| 18 | 2012 | 375 | |
| 19 | 2015 | 335 | |
| 20 | 2014 | 300 |
About Simon Mead
Simon Mead is a scholar working on Neurology, Psychiatry and Mental health, Physiology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 324 papers that have together received 34.6k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (154 papers), Alzheimer's disease research and treatments (86 papers), Dementia and Cognitive Impairment Research (74 papers), Amyotrophic Lateral Sclerosis Research (65 papers), Genetic Associations and Epidemiology (10 papers), Genetic Neurodegenerative Diseases (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers) and Hereditary Neurological Disorders (5 papers). The work is most often cited by research in Psychiatry and Mental health (9.4k citations), Physiology (11.4k citations), Neurology (5.5k citations), Neurology (2.5k citations) and Molecular Biology (7.2k citations). Simon Mead has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include John Collinge, Jon A. Beck, Jonathan Daniel Rohrer, Tamás Révész, Nick C. Fox, Jason D. Warren, Martin N. Rossor, Peter Rudge, Sebastian Brandner and Tracy Campbell. Their work appears in journals such as Brain, Journal of Neurology Neurosurgery & Psychiatry, The Lancet Neurology, Neurobiology of Aging and Neurology.
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.