What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Disease
Lan Tan mainly focuses on Neuroscience, Disease, Pathogenesis, Autophagy and Internal medicine.
His Neuroscience research integrates issues from Synaptic plasticity, Senile plaques, PI3K/AKT/mTOR pathway, Genetically modified mouse and Kinase.
His biological study spans a wide range of topics, including microRNA and Epigenetics.
The Pathogenesis study combines topics in areas such as Apolipoprotein E and Amyloid precursor protein.
His Internal medicine research is multidisciplinary, incorporating elements of Endocrinology, Cytochrome c oxidase and Genotype.
His Meta-analysis study combines topics in areas such as Psychiatry and Depression.
His most cited work include:
- Role of pro-inflammatory cytokines released from microglia in Alzheimer's disease. (404 citations)
- The prevalence of neuropsychiatric symptoms in Alzheimer's disease: Systematic review and meta-analysis (259 citations)
- The prevalence of neuropsychiatric symptoms in Alzheimer's disease: Systematic review and meta-analysis (259 citations)
What are the main themes of his work throughout his whole career to date?
Lan Tan mostly deals with Disease, Internal medicine, Genetics, Neuroscience and Pathogenesis.
Lan Tan focuses mostly in the field of Disease, narrowing it down to topics relating to Biomarker and, in certain cases, Neurodegeneration.
His Internal medicine research includes elements of Endocrinology, Neuroimaging and Oncology.
In his research, Locus is intimately related to Apolipoprotein E, which falls under the overarching field of Genetics.
His Neuroscience study incorporates themes from Autophagy, Neuroinflammation, Kinase and Tauopathy.
His Pathogenesis research incorporates elements of Inflammation, Immune system, Bioinformatics and Cell biology.
He most often published in these fields:
- Disease (84.95%)
- Internal medicine (62.39%)
- Genetics (40.18%)
What were the highlights of his more recent work (between 2019-2021)?
- Internal medicine (62.39%)
- Disease (84.95%)
- Dementia (20.73%)
In recent papers he was focusing on the following fields of study:
Lan Tan mainly investigates Internal medicine, Disease, Dementia, Biomarker and Oncology.
He has researched Internal medicine in several fields, including Magnetic resonance angiography, Neurology and Neuroimaging.
His Neuroimaging study is associated with Neuroscience.
Lan Tan combines topics linked to Pooled analysis with his work on Disease.
His work carried out in the field of Dementia brings together such families of science as Meta-analysis, Absolute risk reduction, Gerontology and Anxiety.
His study looks at the relationship between Biomarker and topics such as Cerebrospinal fluid, which overlap with Endocrinology, Pathogenesis, Apolipoprotein B and Sleep in non-human animals.
Between 2019 and 2021, his most popular works were:
- Evidence-based prevention of Alzheimer's disease: systematic review and meta-analysis of 243 observational prospective studies and 153 randomised controlled trials (29 citations)
- Inflammatory markers in Alzheimer's disease and mild cognitive impairment: A meta‐analysis and systematic review of 170 studies (20 citations)
- Sleep problems and risk of all-cause cognitive decline or dementia: an updated systematic review and meta-analysis (15 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Disease
His primary areas of study are Internal medicine, Dementia, Disease, Meta-analysis and Oncology.
His study focuses on the intersection of Internal medicine and fields such as Neurology with connections in the field of Pathological and Stroke.
His Dementia research is multidisciplinary, incorporating elements of Alzheimer's disease, Hyperintensity and Neuroimaging.
His studies deal with areas such as Mutation, Microglia and Immunology as well as Disease.
His Meta-analysis research incorporates elements of Prospective cohort study, Cognition, Evidence-based medicine and Vascular dementia.
His Apolipoprotein E research is multidisciplinary, relying on both Genetic association, Genetic predisposition, Bioinformatics and Amyloid precursor protein.
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