What is she best known for?
The fields of study she is best known for:
Cancer research, Gene, Cancer, Genetics and DNA methylation are her primary areas of study.
Her research in Cancer research intersects with topics in Mutation, KRAS, Carcinogenesis and PI3K/AKT/mTOR pathway, PTEN.
Her Carcinogenesis research includes themes of Angiogenesis, Neovascularization, Ovarian cancer and Signal transduction.
She works mostly in the field of PI3K/AKT/mTOR pathway, limiting it down to concerns involving Cell culture and, occasionally, Autophagy and Cell biology.
Her work deals with themes such as Exome sequencing, Proteomics, Computational biology and Bioinformatics, which intersect with Cancer.
Her DNA methylation research incorporates themes from BAP1, microRNA, DNA sequencing and Genomics.
Her most cited work include:
- Comprehensive molecular portraits of human breast tumours (7722 citations)
- Comprehensive molecular characterization of gastric adenocarcinoma (3153 citations)
- Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network (3074 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Cancer research, Cancer, PI3K/AKT/mTOR pathway, Protein kinase B and Signal transduction.
Her Cancer research research is multidisciplinary, incorporating elements of Cell growth, Ovarian cancer, microRNA, Cell cycle and PTEN.
Her microRNA research incorporates elements of Regulation of gene expression and DNA methylation.
Her Cancer study integrates concerns from other disciplines, such as Mutation, Computational biology and Bioinformatics.
Her Bioinformatics research includes elements of Reverse phase protein lysate microarray, Breast cancer and Proteomics.
She has included themes like Pharmacology and Proto-oncogene tyrosine-protein kinase Src in her PI3K/AKT/mTOR pathway study.
She most often published in these fields:
- Cancer research (49.67%)
- Cancer (22.85%)
- PI3K/AKT/mTOR pathway (19.87%)
What were the highlights of her more recent work (between 2017-2021)?
- Cancer research (49.67%)
- Cancer (22.85%)
- Computational biology (9.93%)
In recent papers she was focusing on the following fields of study:
Yiling Lu mainly focuses on Cancer research, Cancer, Computational biology, Cancer cell and Melanoma.
Her Cancer research research is multidisciplinary, incorporating perspectives in PI3K/AKT/mTOR pathway, Apoptosis, Protein kinase B, Signal transduction and Ovarian cancer.
Her studies deal with areas such as PTEN and Gene isoform as well as Protein kinase B.
Her study in Cancer is interdisciplinary in nature, drawing from both Mutation, microRNA, Gene and Oncology.
Her work carried out in the field of Cancer cell brings together such families of science as Carcinogenesis, Senescence, Cell biology, Transcriptome and Cell cycle.
Her study on Triple-negative breast cancer is often connected to Oncostatin M receptor as part of broader study in Breast cancer.
Between 2017 and 2021, her most popular works were:
- Exosomal PD-L1 Contributes to Immunosuppression and is Associated with anti-PD-1 Response (868 citations)
- Next-generation characterization of the Cancer Cell Line Encyclopedia (844 citations)
- Genomic and Functional Approaches to Understanding Cancer Aneuploidy (368 citations)
In her most recent research, the most cited papers focused on:
Yiling Lu spends much of her time researching Cancer research, Cancer, microRNA, Cancer cell and Computational biology.
In her works, she undertakes multidisciplinary study on Cancer research and PARP inhibitor.
When carried out as part of a general Cancer research project, her work on Colon adenocarcinoma and Adenocarcinoma is frequently linked to work in Tsix and Characterization, therefore connecting diverse disciplines of study.
The microRNA study combines topics in areas such as MEG3, DNA methylation and Gene regulatory network.
Her research investigates the connection with Cancer cell and areas like Transcriptome which intersect with concerns in Biomarker, RNA editing and RNA.
Her research integrates issues of Proteome and Proteogenomics in her study of Computational biology.
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