What is he best known for?
The fields of study he is best known for:
- Psychiatry
- Internal medicine
- Substance abuse
His primary scientific interests are in Psychiatry, Substance abuse, Epidemiology, Odds ratio and Cannabis.
His Psychiatry study integrates concerns from other disciplines, such as Disease, Rheumatoid arthritis, Clinical psychology and Risk factor.
His Substance abuse research incorporates themes from Medical prescription and Drug.
His Medical prescription research focuses on Addiction and how it relates to Logistic regression.
His study looks at the relationship between Epidemiology and topics such as Incidence, which overlap with Biostatistics, Age of onset and Ecstasy.
His work deals with themes such as Young adult, Absolute risk reduction and Early childhood, which intersect with Cannabis.
His most cited work include:
- Association of Schizophrenia and Autoimmune Diseases: Linkage of Danish National Registers (387 citations)
- Early-onset drug use and risk for drug dependence problems. (289 citations)
- Who becomes cannabis dependent soon after onset of use? Epidemiological evidence from the United States: 2000–2001 (193 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Psychiatry, Odds ratio, Environmental health, Injury prevention and Human factors and ergonomics.
His studies in Psychiatry integrate themes in fields like Medical prescription and Epidemiology.
His biological study spans a wide range of topics, including Relative risk, Confidence interval, Odds, Methadone maintenance and Socioeconomic status.
His research integrates issues of Young adolescents and Substance use in his study of Environmental health.
His study in the field of Alcohol advertising also crosses realms of Social environment and Expectancy theory.
His Substance abuse study combines topics from a wide range of disciplines, such as Cannabis Dependence, Absolute risk reduction and Cannabis.
He most often published in these fields:
- Psychiatry (49.38%)
- Odds ratio (58.02%)
- Environmental health (54.94%)
What were the highlights of his more recent work (between 2018-2021)?
- Odds ratio (58.02%)
- Young adult (27.16%)
- Environmental health (54.94%)
In recent papers he was focusing on the following fields of study:
Chuan-Yu Chen focuses on Odds ratio, Young adult, Environmental health, Clinical psychology and Injury prevention.
His work in Odds ratio addresses issues such as Methadone, which are connected to fields such as Hazard ratio, Retrospective cohort study and Heroin.
Chuan-Yu Chen frequently studies issues relating to Substance abuse and Young adult.
His studies deal with areas such as Psychosocial, Lifetime tobacco use and Substance use as well as Environmental health.
His study looks at the relationship between Injury prevention and fields such as Human factors and ergonomics, as well as how they intersect with chemical problems.
His Epidemiology research is multidisciplinary, incorporating elements of Medical prescription, Prescription drug and Psychiatry, Drug.
Between 2018 and 2021, his most popular works were:
- Mis-anaesthetized society: expectancies and recreational use of ketamine in Taiwan (6 citations)
- Mis-anaesthetized society: expectancies and recreational use of ketamine in Taiwan (6 citations)
- Mis-anaesthetized society: expectancies and recreational use of ketamine in Taiwan (6 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Substance abuse
- Psychiatry
His primary areas of study are Odds ratio, Environmental health, Cigarette use, Substance use and Distress.
The study incorporates disciplines such as Methadone maintenance, Substance abuse, Prenatal care and Obstetrics in addition to Odds ratio.
Environmental health is intertwined with Official statistics, Purchasing, Consumption, Educational attainment and Recreation in his research.
Among his Cigarette use studies, there is a synthesis of other scientific areas such as Population based study, Psychosocial and Lifetime tobacco use.
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.
