What is he best known for?
The fields of study he is best known for:
David C. Wedge mainly investigates Genetics, Mutation, Cancer, Genome and Somatic evolution in cancer.
His study in Genetics concentrates on Kataegis, DNA Mutational Analysis, APOBEC, Lineage and Somatic cell.
David C. Wedge works mostly in the field of APOBEC, limiting it down to concerns involving Cytidine deaminase and, occasionally, Genome instability and Chromosome instability.
He studies Germline mutation which is a part of Mutation.
David C. Wedge interconnects Cancer research and H3F3B in the investigation of issues within Cancer.
As part of one scientific family, David C. Wedge deals mainly with the area of Genome, narrowing it down to issues related to the Computational biology, and often Whole genome sequencing, Germline, Massive parallel sequencing and Chromothripsis.
His most cited work include:
- Signatures of mutational processes in human cancer (5372 citations)
- The landscape of cancer genes and mutational processes in breast cancer (1263 citations)
- Mutational Processes Molding the Genomes of 21 Breast Cancers (1241 citations)
What are the main themes of his work throughout his whole career to date?
David C. Wedge mostly deals with Genetics, Cancer, Cancer research, Genome and Internal medicine.
His study in Mutation, Germline mutation, Gene, Somatic cell and Exome sequencing falls within the category of Genetics.
David C. Wedge is involved in the study of Mutation that focuses on DNA Mutational Analysis in particular.
His work on Breast cancer and Somatic evolution in cancer as part of general Cancer study is frequently linked to Context, bridging the gap between disciplines.
His Genome research incorporates elements of Computational biology and Genome instability.
In his research on the topic of Internal medicine, Tumour heterogeneity is strongly related with Oncology.
He most often published in these fields:
- Genetics (37.78%)
- Cancer (28.89%)
- Cancer research (25.33%)
What were the highlights of his more recent work (between 2019-2021)?
- Computational biology (19.56%)
- Genome (24.44%)
- Cancer (28.89%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computational biology, Genome, Cancer, Gene mutation and Internal medicine.
His Computational biology research is multidisciplinary, relying on both Acquired immune system, Exome sequencing, Genotyping and DNA sequencing.
His studies in Genome integrate themes in fields like Carcinogenesis, Tumor heterogeneity, Germline mutation and Evolutionary biology.
His Carcinogenesis study is focused on Genetics in general.
His Cancer study incorporates themes from SCNA, Cancer research, Epigenetics and DNA methylation.
His studies deal with areas such as Lineage and Oncology as well as Internal medicine.
Between 2019 and 2021, his most popular works were:
- Pan-cancer analysis of whole genomes (538 citations)
- The evolutionary history of 2,658 cancers (220 citations)
- Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition. (77 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Genome, Human genetics, Computational biology, Internal medicine and Oncology.
His Genome study combines topics in areas such as Carcinogenesis, Isochromosome and Genome instability.
Carcinogenesis is a subfield of Genetics that David C. Wedge explores.
His research integrates issues of Cancer, Tumor heterogeneity, Cancer evolution, Germline mutation and DNA sequencing in his study of Computational biology.
David C. Wedge has included themes like Genetic heterogeneity, Cancer research, Lung cancer and Epigenetics in his Cancer study.
His biological study spans a wide range of topics, including Aneuploidy and Histopathology.
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.
