What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Genetics
Genome-wide association study, Genetics, Internal medicine, Genetic association and Endocrinology are his primary areas of study.
His Genome-wide association study study combines topics in areas such as SNP, Allele, Glucose homeostasis, Type 2 diabetes and Genetic architecture.
Many of his studies involve connections with topics such as Case-control study and Genetics.
Many of his studies on Internal medicine apply to Cardiology as well.
His Genetic association research focuses on subjects like Atrial fibrillation, which are linked to Odds ratio.
His work deals with themes such as TCF7L2 and Gout, which intersect with Endocrinology.
His most cited work include:
- A genome-wide association search for type 2 diabetes genes in African Americans. (1727 citations)
- New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (1707 citations)
- Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes (1502 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genome-wide association study, Genetics, Internal medicine, Genetic association and Single-nucleotide polymorphism.
His Genome-wide association study study incorporates themes from SNP, Bioinformatics, Renal function, Minor allele frequency and Genetic architecture.
His Genetics study deals with Type 2 diabetes intersecting with Fasting glucose.
The study incorporates disciplines such as Diabetes mellitus, Endocrinology, Oncology and Cardiology in addition to Internal medicine.
In Endocrinology, Man Li works on issues like Odds ratio, which are connected to Cohort.
His Genetic association research integrates issues from Atrial fibrillation, Case-control study, Genetic variation and Medical genetics.
He most often published in these fields:
- Genome-wide association study (56.50%)
- Genetics (50.85%)
- Internal medicine (37.85%)
What were the highlights of his more recent work (between 2018-2021)?
- Thermal conductivity (9.04%)
- Internal medicine (37.85%)
- Genome-wide association study (56.50%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Thermal conductivity, Internal medicine, Genome-wide association study, Gene and Mesoporous silica.
His Thermal conductivity study combines topics from a wide range of disciplines, such as Anharmonicity, Condensed matter physics, Thermal and Semiconductor.
His Internal medicine research includes themes of Diabetes mellitus and Cardiology.
His Type 2 diabetes, Glycated hemoglobin and Glucose homeostasis study in the realm of Diabetes mellitus interacts with subjects such as Pancreatic islets.
Genetics covers he research in Genome-wide association study.
His Biomarker research also works with subjects such as
- Nonsynonymous substitution which intersects with area such as Oncology,
- Allele and related Creatinine, Medical genetics, Locus and Acute kidney injury.
Between 2018 and 2021, his most popular works were:
- Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels (66 citations)
- A catalog of genetic loci associated with kidney function from analyses of a million individuals (52 citations)
- Mapping eGFR loci to the renal transcriptome and phenome in the VA Million Veteran Program. (26 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Semiconductor
His main research concerns Thermal conductivity, Genetics, Renal function, Optoelectronics and Tin selenide.
Man Li has included themes like Thermal, Semiconductor and Elastic modulus in his Thermal conductivity study.
His studies link Gout with Genetics.
His Renal function study is concerned with the larger field of Internal medicine.
His studies deal with areas such as Anharmonicity and Condensed matter physics as well as Tin selenide.
His Pleiotropy research includes elements of Genome-wide association study and Kidney metabolism.
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