Robert Clarke

332 papers receiving 42.1k citations

Robert Clarke's Hit Papers

Proteomic aging clock predicts mortality and risk of common age-related diseases in diverse populations 2024 · 163 citations
1630+2+4Years since publication50010001.5k2.0k

Peers

Robert Clarke
Comparison fields: 5 of 218
  • Rheumatology 6.5k
  • Genetics 8.5k
  • Physiology 6.0k
  • Neurology 1.9k
  • Biological Psychiatry 502
Replace Michiaki Kubo with:
Michiaki Kubo Japan
Stephen Burgess United Kingdom
Yoav Ben‐Shlomo United Kingdom
Fernando Rivadeneira Netherlands
Alexa S. Beiser United States
Myriam Fornage United States
Thor Aspelund Iceland
Tom Mosley United States
Lars Alfredsson Sweden
Guðný Eiríksdóttir United States
Robert Clarke relative to Michiaki Kubo Japan Michiaki Kubo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert Clarke

Since Specialization
Citations

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

Fields of papers citing papers by Robert Clarke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Clarke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Clarke Line = papers co-authored together Robert Clarke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 344 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
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20133446
2
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
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20102419
3
Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing
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20192087
4
Hyperhomocysteinemia: An Independent Risk Factor for Vascular Disease
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19911886
5
New insights into the genetic etiology of Alzheimer’s disease and related dementias
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20221436
6
Defining the role of common variation in the genomic and biological architecture of adult human height
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20141377
7
Newly identified loci that influence lipid concentrations and risk of coronary artery disease
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20081365
8
Gene-Wide Analysis Detects Two New Susceptibility Genes for Alzheimer's Disease
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20141332
9
Folate, Vitamin B12, and Serum Total Homocysteine Levels in Confirmed Alzheimer Disease
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19981198
10
Common variants at 30 loci contribute to polygenic dyslipidemia
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20081177
11
Genome-wide association study identifies eight loci associated with blood pressure
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20091019
12
Facts and Recommendations about Total Homocysteine Determinations: An Expert Opinion
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2004893
13
A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance
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2012669
14
Incident dementia and blood pressure lowering in the Hypertension in the Very Elderly Trial cognitive function assessment (HYVET-COG): a double-blind, placebo controlled trial
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2008598
15
Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction
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2014521
16
Associations of Omega-3 Fatty Acid Supplement Use With Cardiovascular Disease Risks
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2018516
17
Association analyses based on false discovery rate implicate new loci for coronary artery disease
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2017504
18
Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease
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2016469
19 2007442
20
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
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2016426

About Robert Clarke

Robert Clarke is a scholar working on Rheumatology, Cardiology and Cardiovascular Medicine, Genetics, Surgery and Endocrinology, Diabetes and Metabolism, having authored 344 papers that have together received 43.6k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (58 papers), Genetic Associations and Epidemiology (44 papers), Lipoproteins and Cardiovascular Health (19 papers), Esophageal and GI Pathology (15 papers), Blood Pressure and Hypertension Studies (14 papers), Acute Ischemic Stroke Management (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Nutritional Studies and Diet (12 papers). The work is most often cited by research in Rheumatology (6.5k citations), Genetics (8.5k citations), Physiology (6.0k citations), Neurology (1.9k citations) and Biological Psychiatry (502 citations). Robert Clarke has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Per Magne Ueland, Sarah Lewington, Helga Refsum, A. David Smith, Ian M Graham, Rory Collins, Seamus F. Cahalane, E. R. Naughten, Killian Robinson and Brian Fowler. Their work appears in journals such as American Journal of Clinical Nutrition, Nature Genetics, Journal of the American Heart Association, International Journal of Epidemiology and European Heart Journal.

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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