Simon Lovestone
Impact in
- Biological Psychiatry top 0.05%
- Neurology top 0.02%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
- Physiology 237
- Alzheimer's disease research and treatments 230
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- Dementia and Cognitive Impairment Research 122
- Co-authors
- Richard Killick (29 shared papers)Claudie Hooper (12 shared papers)Bruno J. Vellas (71 shared papers)Magda Tsolaki (69 shared papers)Patrizia Mecocci (66 shared papers)Hilkka S. Soininen (63 shared papers)Iwona Kłoszewska (58 shared papers)Andrew D. Simmons (64 shared papers)
- Journals
- Alzheimer s & Dementia (67 papers)Journal of Alzheimer s Disease (37 papers)Neurobiology of Aging (23 papers)International Journal of Geriatric Psychiatry (20 papers)Molecular Psychiatry (13 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Simon Lovestone
521 papers receiving 49.9k citations
Simon Lovestone's Hit Papers
Peers
Comparison fields: 5 of 223
- Biological Psychiatry 2.1k
- Neurology 6.8k
- Physiology 19.4k
- Psychiatry and Mental health 9.3k
- Aging 564
Countries citing papers authored by Simon Lovestone
This map shows the geographic impact of Simon Lovestone'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 Lovestone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Lovestone more than expected).
Fields of papers citing papers by Simon Lovestone
This network shows the impact of papers produced by Simon Lovestone. 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 Lovestone. The network helps show where Simon Lovestone may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Lovestone, 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 530 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Consensus guidelines for the clinical and pathologic diagnosis of dementia with Lewy bodies (DLB) Hit paper breakdown → | 1996 | 3449 |
| 2 | Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease Hit paper breakdown → | 2013 | 3446 |
| 3 | Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease Hit paper breakdown → | 2009 | 2879 |
| 4 | Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing Hit paper breakdown → | 2019 | 2087 |
| 5 | Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease Hit paper breakdown → | 2011 | 1656 |
| 6 | New insights into the genetic etiology of Alzheimer’s disease and related dementias Hit paper breakdown → | 2022 | 1436 |
| 7 | Gene-Wide Analysis Detects Two New Susceptibility Genes for Alzheimer's Disease Hit paper breakdown → | 2014 | 1332 |
| 8 | The GSK3 hypothesis of Alzheimer’s disease Hit paper breakdown → | 2007 | 1041 |
| 9 | Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease Hit paper breakdown → | 2017 | 749 |
| 10 | Common genetic variants influence human subcortical brain structures Hit paper breakdown → | 2015 | 669 |
| 11 | Functional annotation of the human brain methylome identifies tissue-specific epigenetic variation across brain and blood Hit paper breakdown → | 2012 | 559 |
| 12 | 2010 | 548 | |
| 13 | Methylomic profiling implicates cortical deregulation of ANK1 in Alzheimer's disease Hit paper breakdown → | 2014 | 457 |
| 14 | A Phase II Trial of Tideglusib in Alzheimer's Disease Hit paper breakdown → | 2015 | 450 |
| 15 | 2004 | 444 | |
| 16 | 2007 | 433 | |
| 17 | 2002 | 424 | |
| 18 | 1994 | 419 | |
| 19 | 2006 | 387 | |
| 20 | Common brain disorders are associated with heritable patterns of apparent aging of the brain Hit paper breakdown → | 2019 | 382 |
About Simon Lovestone
Simon Lovestone is a scholar working on Physiology, Psychiatry and Mental health, Neurology, Molecular Biology and Genetics, having authored 530 papers that have together received 51.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (230 papers), Dementia and Cognitive Impairment Research (122 papers), Bioinformatics and Genomic Networks (41 papers), Genetic Associations and Epidemiology (39 papers), Cholinesterase and Neurodegenerative Diseases (27 papers), Wnt/β-catenin signaling in development and cancer (25 papers), Computational Drug Discovery Methods (20 papers) and Functional Brain Connectivity Studies (19 papers). The work is most often cited by research in Biological Psychiatry (2.1k citations), Neurology (6.8k citations), Physiology (19.4k citations), Psychiatry and Mental health (9.3k citations) and Aging (564 citations). Simon Lovestone has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Richard Killick, Claudie Hooper, Bruno J. Vellas, Magda Tsolaki, Patrizia Mecocci, Hilkka S. Soininen, Iwona Kłoszewska, Andrew D. Simmons, John Powell and Amritpal K. Mudher. Their work appears in journals such as Alzheimer s & Dementia, Journal of Alzheimer s Disease, Neurobiology of Aging, International Journal of Geriatric Psychiatry and Molecular Psychiatry.
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.