Lisa A. Cannon-Albright

What is she best known for?

The fields of study she is best known for:

• Cancer
• Gene
• Internal medicine

Lisa A. Cannon-Albright mostly deals with Genetics, Internal medicine, Oncology, Genome-wide association study and Locus. Her studies in Cancer, Breast cancer, Risk factor and Relative risk are all subfields of Internal medicine research. The concepts of her Oncology study are interwoven with issues in Genetic model, Survival analysis and Age of onset.

Lisa A. Cannon-Albright has included themes like SNP, PROSTATE CANCER SUSCEPTIBILITY, Case-control study and Genetic association in her Genome-wide association study study. Her Locus research is multidisciplinary, incorporating elements of Microsatellite and Melanoma. Her study looks at the relationship between Genotype and topics such as Prostate cancer, which overlap with Prostate.

Her most cited work include:

• A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1 (5177 citations)
• Genetic Heterogeneity and Penetrance Analysis of the BRCA1 and BRCA2 Genes in Breast Cancer Families (2565 citations)
• Systematic population-based assessment of cancer risk in first-degree relatives of cancer probands. (883 citations)

What are the main themes of her work throughout her whole career to date?

The scientist’s investigation covers issues in Internal medicine, Genetics, Oncology, Prostate cancer and Cancer. Gene, Single-nucleotide polymorphism, Genome-wide association study, Pedigree chart and Genetic linkage are the subjects of her Genetics studies. Her Gene research incorporates elements of Cancer research and Melanoma.

Her Oncology research incorporates themes from Survival analysis, Ovarian cancer, Epidemiology and Gynecology. The Prostate cancer study combines topics in areas such as Prostate, Bioinformatics, Germline, Genotype and Hazard ratio. Her Cancer research incorporates themes from Disease and Pathology.

She most often published in these fields:

• Internal medicine (60.39%)
• Genetics (57.86%)
• Oncology (46.60%)

What were the highlights of her more recent work (between 2018-2021)?

• Internal medicine (60.39%)
• Prostate cancer (44.27%)
• Genetics (57.86%)

In recent papers she was focusing on the following fields of study:

Her primary areas of investigation include Internal medicine, Prostate cancer, Genetics, Cancer and Gene. Her Internal medicine research is multidisciplinary, incorporating elements of Proband and Oncology. Her research integrates issues of Stage, Breast cancer, Genetic predisposition and Genotype in her study of Oncology.

Lisa A. Cannon-Albright interconnects SNP, Cancer research, Genome-wide association study, Percentile and Hazard ratio in the investigation of issues within Prostate cancer. Her Cancer research includes elements of Young adult, Pediatrics and Cohort study. Her research investigates the connection with Gene and areas like Disease which intersect with concerns in Odds ratio, Pulmonary embolism and ICD-10.

Between 2018 and 2021, her most popular works were:

• Shared heritability and functional enrichment across six solid cancers (41 citations)
• Association of Rare Coding Mutations With Alzheimer Disease and Other Dementias Among Adults of European Ancestry (25 citations)
• Association of Rare Coding Mutations With Alzheimer Disease and Other Dementias Among Adults of European Ancestry (25 citations)

In her most recent research, the most cited papers focused on:

• Cancer
• Gene
• Internal medicine

Her primary areas of study are Prostate cancer, Internal medicine, Genetics, Cancer and Gene. Her Prostate cancer study combines topics from a wide range of disciplines, such as Sample size determination, Genome-wide association study, Oncology, Hazard ratio and Breast cancer. Her Breast cancer study which covers Imputation that intersects with Genetic association.

Her Internal medicine study incorporates themes from Genetic model, ICD-10 and Mutation. Lisa A. Cannon-Albright frequently studies issues relating to CADASIL and Genetics. Her Cancer research integrates issues from Health equity, Multivariate analysis and Case-control study.