What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Cancer
His primary scientific interests are in Cancer research, Internal medicine, Cell biology, Genetics and Gene.
His research in Cancer research intersects with topics in Cancer, Mutation, Immunology, microRNA and Lung cancer.
He has included themes like Epithelial–mesenchymal transition, Targeted therapy and KRAS in his Lung cancer study.
His Internal medicine study incorporates themes from Placebo, Endocrinology and Oncology.
His studies in Cell biology integrate themes in fields like Cell cycle, Ubiquitin ligase and Transplantation.
DNA methylation, Oncogene and Proteomics are the subjects of his Gene studies.
His most cited work include:
- Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network (2762 citations)
- Synthesis of Large Arrays of Well-Aligned Carbon Nanotubes on Glass (2246 citations)
- WEGO: a web tool for plotting GO annotations (2126 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Cancer research, Internal medicine, Cancer, Artificial intelligence and Lung cancer.
His Cancer research research is multidisciplinary, incorporating elements of Cell growth, Immune system, Immunology, PI3K/AKT/mTOR pathway and Adenocarcinoma.
His biological study spans a wide range of topics, including Endocrinology, Oncology and Cardiology.
Cancer is closely attributed to Pathology in his study.
His Artificial intelligence research includes themes of Computer vision and Pattern recognition.
His research in Iterative reconstruction tackles topics such as Imaging phantom which are related to areas like Cone beam computed tomography.
He most often published in these fields:
- Cancer research (24.24%)
- Internal medicine (15.88%)
- Cancer (12.57%)
What were the highlights of his more recent work (between 2019-2021)?
- Cancer research (24.24%)
- Internal medicine (15.88%)
- Cancer (12.57%)
In recent papers he was focusing on the following fields of study:
Jing Wang focuses on Cancer research, Internal medicine, Cancer, Oncology and Lung cancer.
His Cancer research study also includes
- Immune system which connect with Cytotoxic T cell,
- Downregulation and upregulation that intertwine with fields like Melanoma.
His study in Internal medicine is interdisciplinary in nature, drawing from both Gastroenterology and Endocrinology.
All of his Cancer and Breast cancer and KRAS investigations are sub-components of the entire Cancer study.
His study focuses on the intersection of Oncology and fields such as Avelumab with connections in the field of Axitinib, Sunitinib and Renal cell carcinoma.
His Lung cancer study frequently links to related topics such as Metastasis.
Between 2019 and 2021, his most popular works were:
- Avelumab Maintenance Therapy for Advanced or Metastatic Urothelial Carcinoma (75 citations)
- A Peptide-Based Magnetic Chemiluminescence Enzyme Immunoassay for Serological Diagnosis of Coronavirus Disease 2019. (72 citations)
- Loss of p53 drives neuron reprogramming in head and neck cancer (55 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Cancer
Jing Wang mostly deals with Cancer research, Internal medicine, Oncology, Lung cancer and Artificial intelligence.
His Cancer research study integrates concerns from other disciplines, such as Epithelial–mesenchymal transition, Downregulation and upregulation and Cancer, Immune system, Immunotherapy.
Jing Wang interconnects Microarray, Microarray analysis techniques and Gene duplication, Gene in the investigation of issues within Cancer.
His study in the fields of Ruxolitinib under the domain of Internal medicine overlaps with other disciplines such as Active control.
His Lung cancer research includes elements of Immunohistochemistry, Targeted therapy and Metastasis.
The concepts of his Artificial intelligence study are interwoven with issues in Receiver operating characteristic and Pattern recognition.
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