What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Diabetes mellitus
His primary areas of study are Internal medicine, Endocrinology, Diabetes mellitus, Type 2 diabetes and Insulin resistance.
His Internal medicine study often links to related topics such as Cross-sectional study.
The Insulin, Adipose tissue and Brown adipose tissue research Guang Ning does as part of his general Endocrinology study is frequently linked to other disciplines of science, such as Context, therefore creating a link between diverse domains of science.
His Diabetes mellitus research includes themes of Young adult, Gerontology and Prospective cohort study.
His Type 2 diabetes research is multidisciplinary, incorporating perspectives in Metformin, Quartile, Hazard ratio, Berberine and SLC30A8.
His research integrates issues of Epidemiology and Homeostasis in his study of Insulin resistance.
His most cited work include:
- Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases (3355 citations)
- Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults (2180 citations)
- Prevalence and control of diabetes in Chinese adults. (1781 citations)
What are the main themes of his work throughout his whole career to date?
Internal medicine, Endocrinology, Diabetes mellitus, Type 2 diabetes and Insulin resistance are his primary areas of study.
His studies link Cross-sectional study with Internal medicine.
The Endocrinology study combines topics in areas such as Receptor and Quartile.
His studies in Diabetes mellitus integrate themes in fields like Gastroenterology and Prospective cohort study.
Guang Ning studies Overweight which is a part of Obesity.
Waist is the focus of his Body mass index research.
He most often published in these fields:
- Internal medicine (76.29%)
- Endocrinology (58.51%)
- Diabetes mellitus (35.11%)
What were the highlights of his more recent work (between 2019-2021)?
- Internal medicine (76.29%)
- Diabetes mellitus (35.11%)
- Endocrinology (58.51%)
In recent papers he was focusing on the following fields of study:
Guang Ning focuses on Internal medicine, Diabetes mellitus, Endocrinology, Odds ratio and Cohort.
The study incorporates disciplines such as Gastroenterology and Cardiology in addition to Internal medicine.
His Diabetes mellitus study combines topics in areas such as Body mass index and Obesity.
In the subject of general Obesity, his work in Weight loss is often linked to Context, thereby combining diverse domains of study.
His Endocrinology study incorporates themes from Chemokine, Inflammation and Gut flora.
His Odds ratio study combines topics from a wide range of disciplines, such as Logistic regression, Lower risk, Overweight, Obstetrics and Fatty liver.
Between 2019 and 2021, his most popular works were:
- Comparative genetic analysis of the novel coronavirus (2019-nCoV/SARS-CoV-2) receptor ACE2 in different populations (452 citations)
- Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study (70 citations)
- Spatial transmission of COVID-19 via public and private transportation in China. (59 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Cancer
Guang Ning spends much of his time researching Diabetes mellitus, Internal medicine, Endocrinology, Inflammation and Cell biology.
In his study, Impaired glucose tolerance, Health policy, Telemedicine and Global health is inextricably linked to Family medicine, which falls within the broad field of Diabetes mellitus.
Guang Ning interconnects Gastroenterology and NKG2D in the investigation of issues within Internal medicine.
His study looks at the relationship between Endocrinology and topics such as Chemokine, which overlap with Wnt signaling pathway, Transcription factor, Catenin, White adipose tissue and Adipose tissue.
His work in Inflammation tackles topics such as Cellular differentiation which are related to areas like Transcriptome, Cell and DNA methylation.
His Diabetes risk study also includes fields such as
- Hypertension prevalence which intersects with area such as Public health and Body mass index,
- Obesity, which have a strong connection to Cohort 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.
