What is he best known for?
The fields of study he is best known for:
Anthony T. Papenfuss spends much of his time researching Genetics, Genome, Genomics, Cell biology and Devil facial tumour disease.
As part of one scientific family, Anthony T. Papenfuss deals mainly with the area of Genetics, narrowing it down to issues related to the Monodelphis domestica, and often Immune system.
Genome is a subfield of Gene that Anthony T. Papenfuss explores.
His Genomics research is multidisciplinary, incorporating elements of Molecular evolution, Whole genome sequencing, False discovery rate, Computational biology and Massive parallel sequencing.
His Whole genome sequencing research is multidisciplinary, incorporating perspectives in Tammar wallaby, Sequence assembly, Sanger sequencing, DNA sequencing and Macropus.
His study in the field of Gliding motility also crosses realms of Interleukin 22.
His most cited work include:
- Development of plasmacytoid and conventional dendritic cell subtypes from single precursor cells derived in vitro and in vivo (640 citations)
- Genome of the marsupial Monodelphis domestica reveals innovation in non-coding sequences (613 citations)
- Genome analysis of the platypus reveals unique signatures of evolution (610 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Genetics, Genome, Gene, Cancer research and Computational biology.
His work carried out in the field of Genetics brings together such families of science as Tasmanian devil, Sarcophilus and Devil facial tumour disease.
His Genome research incorporates elements of Evolutionary biology and Marsupial.
His study explores the link between Cancer research and topics such as Immune system that cross with problems in Antibody, Primary tumor and Cell biology.
His Computational biology research includes themes of Breakpoint and Somatic cell.
Anthony T. Papenfuss interconnects Data mining, DNA sequencing and Bioinformatics in the investigation of issues within Genomics.
He most often published in these fields:
- Genetics (42.25%)
- Genome (27.82%)
- Gene (30.99%)
What were the highlights of his more recent work (between 2019-2021)?
- Cancer research (23.59%)
- Computational biology (20.07%)
- Gene (30.99%)
In recent papers he was focusing on the following fields of study:
Anthony T. Papenfuss mainly investigates Cancer research, Computational biology, Gene, Cancer and Immune system.
His Cancer research research also works with subjects such as
- Immunotherapy, which have a strong connection to T cell, T-cell receptor, Ovarian cancer and Receptor,
- Cell that intertwine with fields like Devil facial tumour disease, Sarcophilus, Schwann cell, Tasmanian devil and Transcriptome.
Anthony T. Papenfuss combines subjects such as Gene duplication, Sequence, Chromosome and Breakpoint with his study of Computational biology.
His biological study deals with issues like DNA, which deal with fields such as MAPK/ERK pathway and Immunohistochemistry.
His studies in Immune system integrate themes in fields like Cancer cell, Prostate, Disease and Prostate cancer.
His Genome study introduces a deeper knowledge of Genetics.
Between 2019 and 2021, his most popular works were:
- Determination of RNA structural diversity and its role in HIV-1 RNA splicing. (27 citations)
- MTOR signaling orchestrates stress-induced mutagenesis, facilitating adaptive evolution in cancer. (22 citations)
- Two of a kind: transmissible Schwann cell cancers in the endangered Tasmanian devil (Sarcophilus harrisii). (18 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Computational biology, Cancer, Cancer research, Genome and Chromosome.
His research in Computational biology intersects with topics in Mechanistic target of rapamycin, Breakpoint, Genetic Fitness, Gene and Adaptation.
His Cancer research research incorporates themes from Cell, Human genetics, Devil facial tumour disease and Skin cancer.
All of his Genome and Genome size and Genomics investigations are sub-components of the entire Genome study.
His study with Genome size involves better knowledge in Genetics.
His work in the fields of Genetics, such as Secretory protein, overlaps with other areas such as Actiniidae.
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.
