What is she best known for?
The fields of study she is best known for:
Audrey Goddard mainly investigates Cell biology, Receptor, Endocrinology, Internal medicine and Molecular biology.
Her research in Cell biology intersects with topics in Morphogen and Nervous system.
Audrey Goddard focuses mostly in the field of Receptor, narrowing it down to topics relating to Proinflammatory cytokine and, in certain cases, CD14, Microbiology and Lipopolysaccharide.
Her research investigates the link between Endocrinology and topics such as Mutation that cross with problems in Exon and Heterozygote advantage.
Her work deals with themes such as Chemokine, Fas ligand, Transfection and Death domain, which intersect with Molecular biology.
Her work in Death domain covers topics such as Fas receptor which are related to areas like Death receptor 3, Immunology, Insulin-like growth factor 1 receptor and Decoy Receptor 1.
Her most cited work include:
- Control of TRAIL-induced apoptosis by a family of signaling and decoy receptors (1598 citations)
- Secreted and Transmembrane Polypeptides and Nucleic Acids Encoding the Same (1269 citations)
- Activating Smoothened mutations in sporadic basal-cell carcinoma. (1140 citations)
What are the main themes of her work throughout her whole career to date?
Audrey Goddard focuses on Biochemistry, Nucleic acid, Antibody, Heterologous and Molecular biology.
Her study ties her expertise on Interleukin 17 together with the subject of Biochemistry.
Her study on Nucleic acid methods is often connected to Encoding as part of broader study in Nucleic acid.
Her Antibody study frequently draws connections between related disciplines such as Sequence identity.
Her studies in Molecular biology integrate themes in fields like Lung tumor and Stomach.
Her biological study spans a wide range of topics, including Gene duplication and Gene product.
She most often published in these fields:
- Biochemistry (72.86%)
- Nucleic acid (50.00%)
- Antibody (43.22%)
What were the highlights of her more recent work (between 2004-2018)?
- Biochemistry (72.86%)
- Nucleic acid (50.00%)
- Antibody (43.22%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Biochemistry, Nucleic acid, Antibody, Heterologous and Internal medicine.
Her Biochemistry study integrates concerns from other disciplines, such as Molecular biology and Interleukin 17.
Many of her research projects under Nucleic acid are closely connected to Encoding with Encoding, tying the diverse disciplines of science together.
Her Antibody study combines topics from a wide range of disciplines, such as Sequence identity, Antagonist and Interleukin 22.
Audrey Goddard focuses mostly in the field of Heterologous, narrowing it down to matters related to Neoplastic cell and, in some cases, Gene product, Carcinogenesis, Autocrine signalling and Growth inhibition.
Her Internal medicine research incorporates elements of Real-time polymerase chain reaction and Oncology.
Between 2004 and 2018, her most popular works were:
- Secreted and Transmembrane Polypeptides and Nucleic Acids Encoding the Same (1269 citations)
- Analytical validation of the Oncotype DX prostate cancer assay – a clinical RT-PCR assay optimized for prostate needle biopsies (206 citations)
- A 16-gene assay to predict recurrence after surgery in localised renal cell carcinoma: Development and validation studies (142 citations)
In her most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Biochemistry, Nucleic acid, Heterologous, Internal medicine and Antibody.
Her Biochemistry study focuses on Receptor in particular.
Her Nucleic acid research is multidisciplinary, incorporating perspectives in Molecular biology, Gene and Melanoma.
Her Heterologous research is multidisciplinary, relying on both Neoplastic cell, Autocrine signalling, Carcinogenesis, Homology and Gene product.
The study incorporates disciplines such as Gene expression and Oncology in addition to Internal medicine.
Her Antibody research focuses on subjects like Sequence identity, which are linked to Antagonist.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
