What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Enzyme
His primary areas of study are Internal medicine, Prospective cohort study, Relative risk, Confidence interval and Physical therapy.
As a part of the same scientific family, Xiang Gao mostly works in the field of Internal medicine, focusing on Endocrinology and, on occasion, Physiology.
His study in Prospective cohort study is interdisciplinary in nature, drawing from both Diabetes mellitus, Disease and Hazard ratio.
Xiang Gao has included themes like Surgery, Epidemiology, Lower risk, Case-control study and Parkinson's disease in his Relative risk study.
His research in Confidence interval intersects with topics in Meta-analysis and Odds ratio.
His Physical therapy study combines topics in areas such as Body mass index, Overweight, Nurses' Health Study and Restless legs syndrome.
His most cited work include:
- A novel cationic liposome reagent for efficient transfection of mammalian cells (884 citations)
- Direct gene transfer with DNA-liposome complexes in melanoma: expression, biologic activity, and lack of toxicity in humans (843 citations)
- Liposome-mediated CFTR gene transfer to the nasal epithelium of patients with cystic fibrosis. (657 citations)
What are the main themes of his work throughout his whole career to date?
Xiang Gao focuses on Internal medicine, Prospective cohort study, Confidence interval, Endocrinology and Cohort study.
His Hazard ratio, Proportional hazards model, Disease, Stroke and Cohort study are his primary interests in Internal medicine.
His Proportional hazards model study frequently draws connections to other fields, such as Confounding.
Xiang Gao has researched Prospective cohort study in several fields, including Incidence, Diabetes mellitus, Lower risk, Restless legs syndrome and Physical therapy.
Xiang Gao studies Confidence interval, focusing on Relative risk in particular.
He most often published in these fields:
- Internal medicine (30.46%)
- Prospective cohort study (13.61%)
- Confidence interval (10.37%)
What were the highlights of his more recent work (between 2018-2021)?
- Internal medicine (30.46%)
- Prospective cohort study (13.61%)
- Hazard ratio (6.67%)
In recent papers he was focusing on the following fields of study:
His main research concerns Internal medicine, Prospective cohort study, Hazard ratio, Confidence interval and Cohort study.
The study incorporates disciplines such as Gastroenterology, Diabetes mellitus and Cardiology in addition to Internal medicine.
His Prospective cohort study study incorporates themes from Obesity, Incidence, Lower risk, Stroke and Confounding.
His research on Hazard ratio often connects related topics like Proportional hazards model.
His work on Odds ratio expands to the thematically related Confidence interval.
Between 2018 and 2021, his most popular works were:
- DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation (126 citations)
- Structurally Resolved SARS-CoV-2 Antibody Shows High Efficacy in Severely Infected Hamsters and Provides a Potent Cocktail Pairing Strategy. (70 citations)
- DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation (63 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Enzyme
The scientist’s investigation covers issues in Internal medicine, Prospective cohort study, Hazard ratio, Proportional hazards model and Cohort study.
His study looks at the intersection of Internal medicine and topics like Gastroenterology with Risk factor.
His work carried out in the field of Prospective cohort study brings together such families of science as Angiology and Confounding.
His Hazard ratio study is associated with Confidence interval.
His study connects Disease and Confidence interval.
In his work, Logistic regression, Incidence and Epidemiology is strongly intertwined with Cohort, which is a subfield of Proportional hazards model.
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