What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cancer
- Gene
David E. Neal mainly investigates Prostate cancer, Internal medicine, Cancer, Prostate and Cancer research.
His Prostate cancer study combines topics in areas such as Genome-wide association study and Randomized controlled trial, Pathology.
David E. Neal combines subjects such as Case-control study and Genetic association with his study of Genome-wide association study.
The Internal medicine study combines topics in areas such as Gastroenterology, Endocrinology, Gynecology and Oncology.
In his work, Genetic heterogeneity, DNA sequencing, Genomics, Point mutation and Genome is strongly intertwined with Bioinformatics, which is a subfield of Cancer.
His Prostate study combines topics from a wide range of disciplines, such as Androgen and Adenocarcinoma.
His most cited work include:
- 10-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Localized Prostate Cancer (1230 citations)
- 10-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Localized Prostate Cancer (1230 citations)
- The evolutionary history of lethal metastatic prostate cancer. (787 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Prostate cancer, Internal medicine, Oncology, Cancer and Prostate.
His Prostate cancer research incorporates themes from Cancer research, Gynecology and Genome-wide association study, Single-nucleotide polymorphism.
Internal medicine is closely attributed to Endocrinology in his study.
His Oncology research is multidisciplinary, incorporating perspectives in Stage and Disease.
David E. Neal works on Cancer which deals in particular with Breast cancer.
The various areas that David E. Neal examines in his Bladder cancer study include Urinary bladder and Pathology.
He most often published in these fields:
- Prostate cancer (59.74%)
- Internal medicine (45.33%)
- Oncology (29.11%)
What were the highlights of his more recent work (between 2015-2021)?
- Prostate cancer (59.74%)
- Internal medicine (45.33%)
- Oncology (29.11%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Prostate cancer, Internal medicine, Oncology, Cancer and Prostate.
David E. Neal has included themes like Cancer research, Genome-wide association study, Single-nucleotide polymorphism, Randomized controlled trial and Hazard ratio in his Prostate cancer study.
His studies deal with areas such as Breast cancer, Computational biology and Genetic association as well as Genome-wide association study.
His research integrates issues of Endocrinology and Gynecology in his study of Internal medicine.
His research on Oncology also deals with topics like
- Disease that connect with fields like Odds ratio,
- Prostate cancer risk, which have a strong connection to Prospective cohort study.
His studies in Cancer integrate themes in fields like Stage and Cohort.
Between 2015 and 2021, his most popular works were:
- 10-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Localized Prostate Cancer (1230 citations)
- 10-Year Outcomes after Monitoring, Surgery, or Radiotherapy for Localized Prostate Cancer (1230 citations)
- Patient-Reported Outcomes after Monitoring, Surgery, or Radiotherapy for Prostate Cancer (573 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cancer
- Gene
His primary areas of investigation include Prostate cancer, Internal medicine, Oncology, Cancer and Genome-wide association study.
His Prostate cancer research is multidisciplinary, incorporating elements of Cancer research, Prostate, Randomized controlled trial and Single-nucleotide polymorphism.
His research in Internal medicine intersects with topics in Endocrinology and Gynecology.
David E. Neal interconnects Colorectal cancer, Case-control study and Confidence interval in the investigation of issues within Oncology.
His research investigates the connection between Cancer and topics such as Mendelian randomization that intersect with issues in Menarche, Tanner scale, Gerontology, Vitamin D and neurology and Vitamin.
His Genome-wide association study research includes elements of Expression quantitative trait loci, Lung cancer and Genetic association.
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.
