What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Diabetes mellitus
- Gene
Her primary areas of study are Internal medicine, Diabetes mellitus, Endocrinology, Type 2 diabetes and Obesity.
Her Internal medicine study frequently draws connections between related disciplines such as Type 2 Diabetes Mellitus.
Her study in Diabetes mellitus is interdisciplinary in nature, drawing from both Gestational diabetes, Surgery, Renal function and Hazard ratio.
Her Endocrinology research incorporates themes from Gastroenterology and Urology.
Her Type 2 diabetes research is multidisciplinary, incorporating elements of Odds ratio, Genetics, Kidney disease, Nephropathy and Prospective cohort study.
Within one scientific family, Juliana C.N. Chan focuses on topics pertaining to Case-control study under Genetics, and may sometimes address concerns connected to Genome-wide association study and Locus.
Her most cited work include:
- Diabetes in Asia: epidemiology, risk factors, and pathophysiology. (1496 citations)
- A variant in CDKAL1 influences insulin response and risk of type 2 diabetes. (928 citations)
- Effects of Once-Weekly Exenatide on Cardiovascular Outcomes in Type 2 Diabetes. (889 citations)
What are the main themes of her work throughout her whole career to date?
Juliana C.N. Chan mainly focuses on Internal medicine, Diabetes mellitus, Type 2 diabetes, Endocrinology and Obesity.
Her research in Insulin, Body mass index, Blood pressure, Prospective cohort study and Insulin resistance are components of Internal medicine.
Her work in Body mass index covers topics such as Gestational diabetes which are related to areas like Odds ratio.
Her work deals with themes such as Gastroenterology, Surgery, Cohort and Risk factor, which intersect with Diabetes mellitus.
Her research integrates issues of Genetics, Kidney disease, Renal function, Hazard ratio and Type 2 Diabetes Mellitus in her study of Type 2 diabetes.
Her Overweight and Waist study are her primary interests in Obesity.
She most often published in these fields:
- Internal medicine (56.99%)
- Diabetes mellitus (52.80%)
- Type 2 diabetes (39.39%)
What were the highlights of her more recent work (between 2018-2021)?
- Diabetes mellitus (52.80%)
- Type 2 diabetes (39.39%)
- Internal medicine (56.99%)
In recent papers she was focusing on the following fields of study:
Juliana C.N. Chan focuses on Diabetes mellitus, Type 2 diabetes, Internal medicine, Prospective cohort study and Glycemic.
She works mostly in the field of Diabetes mellitus, limiting it down to topics relating to Cohort and, in certain cases, Mortality rate.
Her Type 2 diabetes study which covers Kidney disease that intersects with Diabetes management and Randomized controlled trial.
Her work on Gastroenterology expands to the thematically related Internal medicine.
The study incorporates disciplines such as Body mass index and Risk factor in addition to Prospective cohort study.
Juliana C.N. Chan interconnects Overweight, Gestational diabetes and Obstetrics in the investigation of issues within Odds ratio.
Between 2018 and 2021, her most popular works were:
- Practical recommendations for the management of diabetes in patients with COVID-19. (389 citations)
- KDIGO 2020 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease (121 citations)
- Identification of type 2 diabetes loci in 433,540 East Asian individuals (65 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Diabetes mellitus
Her scientific interests lie mostly in Diabetes mellitus, Type 2 diabetes, Internal medicine, Meta-analysis and Incidence.
Her Diabetes mellitus study combines topics from a wide range of disciplines, such as Disease, Cohort and Pneumonia.
Juliana C.N. Chan combines subjects such as Epidemiology, Young adult, Age of onset, Albuminuria and Prospective cohort study with her study of Type 2 diabetes.
Her study in Internal medicine focuses on Hazard ratio, Interquartile range, Retrospective cohort study, Insulin and Blood pressure.
Her research in the fields of Individual participant data overlaps with other disciplines such as Patient Health Questionnaire and Cutoff.
In her study, which falls under the umbrella issue of Incidence, Body mass index is strongly linked to Cohort study.
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