D-Index & Metrics Best Publications

Alexander P. Reiner

University of Washington
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Medicine D-index 96 Citations 35,704 476 World Ranking 5836 National Ranking 3214

Genetics D-index 96 Citations 35,047 435 World Ranking 548 National Ranking 283

Overview

What is he best known for?

The fields of study Alexander P. Reiner is best known for:

Inflammation
Nanotechnology
Gene

Alexander P. Reiner focuses mostly in the field of Wireless, narrowing it down to matters related to Telecommunications and, in some cases, Extremely high frequency. Extremely high frequency is often connected to Telecommunications in his work. Alexander P. Reiner links relevant study fields such as Quantum, Nanoscopic scale and Acoustic wave in the subject of Quantum mechanics. He conducted interdisciplinary study in his works that combined Quantum and Quantum mechanics. His Acoustics study frequently links to other fields, such as Surface acoustic wave and Acoustic wave. Alexander P. Reiner incorporates Surface acoustic wave and Acoustics in his studies. A majority of his Nanotechnology research is a blend of other scientific areas, such as Nanoscopic scale and Engineering physics. He integrates many fields in his works, including Engineering physics and Nanotechnology. His research on Immunology frequently links to adjacent areas such as Tumor necrosis factor alpha.

His most cited work include:

The 2019 surface acoustic waves roadmap (185 citations)
Simple Biologically Informed Inflammatory Index of Two Serum Cytokines Predicts 10 Year All-Cause Mortality in Older Adults (172 citations)
Admixture Mapping of an Allele Affecting Interleukin 6 Soluble Receptor and Interleukin 6 Levels (153 citations)

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

Genetics is often connected to Annotation in his work. His study deals with a combination of Annotation and Genome. Alexander P. Reiner conducts interdisciplinary study in the fields of Genome and Whole genome sequencing through his research. His study deals with a combination of Gene and Computational biology. His study deals with a combination of Computational biology and Genetics. His Meta-analysis research extends to the thematically linked field of Internal medicine. In his articles, he combines various disciplines, including Single-nucleotide polymorphism and Bioinformatics. He undertakes interdisciplinary study in the fields of Bioinformatics and Single-nucleotide polymorphism through his works. Alexander P. Reiner undertakes interdisciplinary study in the fields of Genotype and Locus (genetics) through his research.

Alexander P. Reiner most often published in these fields:

Genetics (68.75%)
Gene (68.75%)
Internal medicine (56.25%)

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

Effect of VKORC1 haplotypes on transcriptional regulation and warfarin dose.

Mark J. Rieder;Alexander P. Reiner;Brian F. Gage;Deborah A. Nickerson.
The New England Journal of Medicine (2005)

1743 Citations

An epigenetic biomarker of aging for lifespan and healthspan

Morgan E. Levine;Ake T. Lu;Austin Quach;Brian H. Chen.
Aging (Albany NY) (2018)

974 Citations

The interleukin-6 receptor as a target for prevention of coronary heart disease: a mendelian randomisation analysis.

D I Swerdlow;M V Holmes;K B Kuchenbaecker.
The Lancet (2012)

911 Citations

Loss-of-function mutations in APOC3, triglycerides, and coronary disease

Jacy Crosby;Gina M. Peloso;Gina M. Peloso;Paul L. Auer;David R. Crosslin.
The New England Journal of Medicine (2014)

795 Citations

Association between alcohol and cardiovascular disease:Mendelian randomisation analysis based on individual participant data

Michael V Holmes;Michael V Holmes;Caroline E Dale;Luisa Zuccolo;Richard J Silverwood.
BMJ (2014)

713 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)

698 Citations

Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction

Ron Do;Ron Do;Nathan O. Stitziel;Hong Hee Won;Hong Hee Won;Anders Berg Jørgensen.
Nature (2015)

661 Citations

DNA methylation GrimAge strongly predicts lifespan and healthspan.

Ake T. Lu;Austin Quach;James G. Wilson;Alex P. Reiner.
Aging (Albany NY) (2019)

638 Citations

HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials.

Daniel I Swerdlow;David Preiss;Karoline B Kuchenbaecker;Michael Holmes.
The Lancet (2015)

631 Citations

Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.

Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson.
Nature (2021)

617 Citations

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Frequent Co-Authors

External Links

Personal Website for Alexander P. Reiner