What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Disease
- Gene
Richard O. Day mainly focuses on Pharmacology, Internal medicine, Gravitational wave, LIGO and Pharmacokinetics.
His Pharmacology study also includes fields such as
- Metformin, which have a strong connection to Type 2 diabetes,
- Pharmacotherapy which connect with Adverse effect.
His work deals with themes such as Gastroenterology, Endocrinology and Surgery, which intersect with Internal medicine.
Gravitational wave is a subfield of Astrophysics that Richard O. Day studies.
His research on Pharmacokinetics also deals with topics like
- Renal function which connect with Dosing and Allopurinol,
- Diabetes mellitus that intertwine with fields like Young adult.
His Binary black hole study incorporates themes from Gravitational wave background and Redshift.
His most cited work include:
- Observation of Gravitational Waves from a Binary Black Hole Merger (7103 citations)
- Comparison of Upper Gastrointestinal Toxicity of Rofecoxib and Naproxen in Patients with Rheumatoid Arthritis (3548 citations)
- GW151226: observation of gravitational waves from a 22-solar-mass binary black hole coalescence (2671 citations)
What are the main themes of his work throughout his whole career to date?
Richard O. Day mainly investigates Internal medicine, Pharmacology, Pharmacokinetics, Gout and Intensive care medicine.
His biological study spans a wide range of topics, including Gastroenterology, Endocrinology and Surgery.
His is doing research in Drug and Drug interaction, both of which are found in Pharmacology.
His research integrates issues of Oral administration and Dosing in his study of Pharmacokinetics.
His Gout research is multidisciplinary, relying on both Hyperuricemia and Allopurinol.
His Allopurinol research is multidisciplinary, incorporating elements of Uric acid and Xanthine oxidase.
He most often published in these fields:
- Internal medicine (25.77%)
- Pharmacology (21.12%)
- Pharmacokinetics (17.21%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (25.77%)
- Gout (15.42%)
- Dosing (8.13%)
In recent papers he was focusing on the following fields of study:
Richard O. Day mostly deals with Internal medicine, Gout, Dosing, Therapeutic drug monitoring and Pharmacokinetics.
His studies in Internal medicine integrate themes in fields like Gastroenterology and Type 2 diabetes.
His Gout research includes elements of Gerontology, Allopurinol, Intensive care medicine, Qualitative research and Febuxostat.
Richard O. Day has included themes like Anesthesia, Loading dose, Guideline and Audit in his Dosing study.
He combines subjects such as Area under the curve, Emergency medicine, Concordance and Statistics, Cohort with his study of Therapeutic drug monitoring.
As part of his studies on Pharmacokinetics, Richard O. Day often connects relevant areas like Renal function.
Between 2017 and 2021, his most popular works were:
- Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO, Advanced Virgo and KAGRA (582 citations)
- Effects of Allopurinol on the Progression of Chronic Kidney Disease (60 citations)
- Effects of data quality vetoes on a search for compact binary coalescences in Advanced LIGO's first observing run (54 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Disease
- Gene
Richard O. Day focuses on Internal medicine, Type 2 diabetes, Statistics, Dosing and Therapeutic drug monitoring.
His research is interdisciplinary, bridging the disciplines of Gastroenterology and Internal medicine.
The various areas that Richard O. Day examines in his Statistics study include Area under the curve and Pharmacometrics.
As a part of the same scientific family, he mostly works in the field of Dosing, focusing on Audit and, on occasion, Protocol, Health professions, Thematic analysis and Blood sampling.
His Therapeutic drug monitoring study integrates concerns from other disciplines, such as Target attainment, Selection and Model selection.
Richard O. Day interconnects Sampling, Sampling bias, Pharmacokinetics and Drug in the investigation of issues within Bayesian probability.
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