What is he best known for?
The fields of study he is best known for:
Jun Li spends much of his time researching Genetics, Genome-wide association study, Gene, Single-nucleotide polymorphism and Gene expression.
His work on Genetics is being expanded to include thematically relevant topics such as Evolutionary biology.
His Genome-wide association study research focuses on Schizophrenia and how it connects with Major depressive disorder and Psychosis.
His studies in Gene integrate themes in fields like Ovarian cancer, Serous fluid and Physiology.
His Single-nucleotide polymorphism study combines topics in areas such as Human genetic variation, Odds ratio and Allele.
His DNA methylation research includes themes of Functional genomics, DNA mismatch repair, Cancer Genome Project, Oncogenomics and Epigenetics.
His most cited work include:
- Comprehensive genomic characterization defines human glioblastoma genes and core pathways (5484 citations)
- Integrated genomic analyses of ovarian carcinoma (4769 citations)
- Worldwide human relationships inferred from genome-wide patterns of variation. (1597 citations)
What are the main themes of his work throughout his whole career to date?
Genetics, Gene, Single-nucleotide polymorphism, Genome-wide association study and Internal medicine are his primary areas of study.
His research related to Exome sequencing, Mutation, Allele, Genetic association and Candidate gene might be considered part of Genetics.
Jun Li frequently studies issues relating to Molecular biology and Gene.
His Single-nucleotide polymorphism study frequently draws connections between adjacent fields such as Haplotype.
Jun Li has included themes like Bipolar disorder and Genetic linkage in his Genome-wide association study study.
As part of his studies on Internal medicine, Jun Li frequently links adjacent subjects like Endocrinology.
He most often published in these fields:
- Genetics (30.82%)
- Gene (11.80%)
- Single-nucleotide polymorphism (9.18%)
What were the highlights of his more recent work (between 2018-2021)?
- Cell biology (7.54%)
- Genetics (30.82%)
- Computational biology (5.90%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Cell biology, Genetics, Computational biology, Pathology and Gene.
The concepts of his Cell biology study are interwoven with issues in Meiosis, Tissue homeostasis, Spermatogenesis and Somatic cell.
His biological study spans a wide range of topics, including Hereditary thrombocytopenia and Bipolar disorder.
As part of the same scientific family, Jun Li usually focuses on Bipolar disorder, concentrating on Schizophrenia and intersecting with Genome-wide association study, Psychosis, Major depressive disorder and Bipolar II disorder.
His Computational biology research also works with subjects such as
- Cancer that intertwine with fields like Lymph node, Carcinoma and Genetic heterogeneity,
- Drug together with Protein coding, Non-coding RNA, Confounding and Functional genomics.
His Gene study combines topics from a wide range of disciplines, such as Hypopituitarism and Stem cell.
Between 2018 and 2021, his most popular works were:
- Genome-wide association study identifies 30 loci associated with bipolar disorder (518 citations)
- Genome-Wide Association Transethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels (30 citations)
- Variants in myelin regulatory factor (MYRF) cause autosomal dominant and syndromic nanophthalmos in humans and retinal degeneration in mice. (28 citations)
In his most recent research, the most cited papers focused on:
Jun Li focuses on Cell biology, Genome-wide association study, Pathology, Bioinformatics and DNA Repair Protein.
His work deals with themes such as Somatic cell, RNA, Macaque, Spermatogenesis and Germ cell, which intersect with Cell biology.
His work carried out in the field of Genome-wide association study brings together such families of science as Bipolar disorder, Psychosis, Schizophrenia and Venous thrombosis.
His Pathology study integrates concerns from other disciplines, such as Genetic variants and Arterial disease.
Jun Li interconnects Deep vein, Haploinsufficiency, Genetic association, Von Willebrand factor and Pulmonary embolism in the investigation of issues within Bioinformatics.
His DNA Repair Protein research includes elements of Mutation, Oxidative stress, PARP1 and Barrier to autointegration factor 1.
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