H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 55 Citations 14,145 145 World Ranking 7337 National Ranking 578

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Gene
  • Genetics

Riccardo E. Marioni mainly focuses on Genome-wide association study, Genetics, DNA methylation, Cognition and Epigenetics. His Genome-wide association study research is multidisciplinary, relying on both Biobank, Genetic association, Clinical psychology and Heritability. His studies examine the connections between Genetics and genetics, as well as such issues in Depression, with regards to Synapse, Linkage disequilibrium, Mood and Prefrontal cortex.

Riccardo E. Marioni interconnects Regulation of gene expression, Demography, Survival analysis and Bioinformatics in the investigation of issues within DNA methylation. His study looks at the intersection of Cognition and topics like Dementia with Psychiatry, Gerontology, Ageing and Effects of sleep deprivation on cognitive performance. In Epigenetics, Riccardo E. Marioni works on issues like Methylation, which are connected to CpG site.

His most cited work include:

  • Genome-wide association study identifies 74 loci associated with educational attainment (825 citations)
  • Genome-wide association study identifies 74 loci associated with educational attainment (825 citations)
  • DNA methylation age of blood predicts all-cause mortality in later life. (604 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are DNA methylation, Genetics, Genome-wide association study, Epigenetics and Cognition. His DNA methylation research is multidisciplinary, incorporating elements of Methylation, Disease and Ageing. Riccardo E. Marioni has included themes like Major depressive disorder, Biobank, Genetic association and Phenotype in his Genome-wide association study study.

His Epigenetics research incorporates themes from Telomere, Physiology, Bioinformatics and Epigenome. The study incorporates disciplines such as Internal medicine, Gerontology, Clinical psychology and Cognitive decline in addition to Cognition. His Cohort study integrates concerns from other disciplines, such as Demography, Cohort study and Oncology.

He most often published in these fields:

  • DNA methylation (40.42%)
  • Genetics (44.91%)
  • Genome-wide association study (45.81%)

What were the highlights of his more recent work (between 2019-2021)?

  • DNA methylation (40.42%)
  • Epigenetics (34.43%)
  • Disease (15.87%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include DNA methylation, Epigenetics, Disease, dNaM and Genetics. His DNA methylation study combines topics from a wide range of disciplines, such as Internal medicine, Ageing, Methylation and Oncology. His Epigenetics research is multidisciplinary, incorporating perspectives in Nanopore sequencing, Bayesian probability, Bioinformatics and CpG site.

Riccardo E. Marioni combines subjects such as Cancer and Physiology with his study of Disease. His Genetics study which covers Meta-analysis that intersects with Genetic heterogeneity. His research on Genome-wide association study frequently links to adjacent areas such as Mendelian randomization.

Between 2019 and 2021, his most popular works were:

  • Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection. (102 citations)
  • Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. (33 citations)
  • Polygenic predictors of age-related decline in cognitive ability. (22 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Gene
  • Genetics

His primary scientific interests are in Disease, DNA methylation, Epigenetics, Genetics and Body mass index. His studies in Disease integrate themes in fields like Genome-wide association study, Methylation, Meta-analysis, Lung cancer and Family history. His study with Genome-wide association study involves better knowledge in Single-nucleotide polymorphism.

Riccardo E. Marioni has researched DNA methylation in several fields, including Physiology and Genetic architecture. His research in Epigenetics intersects with topics in Bioinformatics, Biomarker, Cholesterol, Apolipoprotein E and Cohort. Genetics is frequently linked to Lasso in his study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Age-associated cognitive decline

Ian J Deary;Janie Corley;Alan J Gow;Sarah E Harris.
British Medical Bulletin (2009)

967 Citations

Genome-wide association study identifies 74 loci associated with educational attainment

Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee.
Nature (2016)

861 Citations

DNA methylation age of blood predicts all-cause mortality in later life.

Riccardo E Marioni;Riccardo E Marioni;Sonia Shah;Allan F McRae;Brian H Chen.
Genome Biology (2015)

707 Citations

DNA methylation-based measures of biological age: meta-analysis predicting time to death

Brian H. Chen;Riccardo E. Marioni;Riccardo E. Marioni;Elena Colicino;Marjolein J. Peters.
Aging (Albany NY) , 8 (9) pp. 1844-1865. (2016) (2016)

522 Citations

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

David M. Howard;Mark J. Adams;Toni Kim Clarke;Jonathan D. Hafferty.
Nature Neuroscience (2019)

458 Citations

Epigenetic Signatures of Cigarette Smoking

Roby Joehanes;Allan C. Just;Riccardo E. Marioni;Luke C. Pilling.
Circulation-cardiovascular Genetics (2016)

457 Citations

Cognitive function, dementia and type 2 diabetes mellitus in the elderly.

Mark W. J. Strachan;Rebecca M. Reynolds;Riccardo E. Marioni;Jacqueline F. Price.
Nature Reviews Endocrinology (2011)

421 Citations

The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936

Riccardo E Marioni;Sonia Shah;Allan F McRae;Stuart J Ritchie.
International Journal of Epidemiology (2015)

335 Citations

Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949)

G. Davies;N. Armstrong;J. C. Bis;J. Bressler.
Molecular Psychiatry (2015)

333 Citations

Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks.

Gina M. Peloso;Paul L. Auer;Joshua C. Bis;Arend Voorman.
American Journal of Human Genetics (2014)

298 Citations

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