What is he best known for?
The fields of study he is best known for:
- Gene
- Cancer
- Internal medicine
His primary areas of investigation include Genetics, Immunology, Internal medicine, Cancer research and Molecular biology.
His studies deal with areas such as Haematopoiesis, Stem cell and Transplantation as well as Immunology.
His Internal medicine research is multidisciplinary, incorporating elements of Gastroenterology and Oncology.
His Cancer research research includes themes of Germline mutation, X-linked severe combined immunodeficiency, Gene knockdown, microRNA and Regulation of gene expression.
He combines subjects such as Drosophila melanogaster, Neoplasm genetics, Genome and Lymphoma with his study of microRNA.
His work deals with themes such as RNA, Protein family, Myeloid leukemia, Exon and breakpoint cluster region, which intersect with Molecular biology.
His most cited work include:
- A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing (3057 citations)
- Insertional oncogenesis in 4 patients after retrovirus-mediated gene therapy of SCID-X1 (1314 citations)
- New microRNAs from mouse and human (822 citations)
What are the main themes of his work throughout his whole career to date?
Arndt Borkhardt mostly deals with Cancer research, Immunology, Leukemia, Internal medicine and Molecular biology.
His biological study spans a wide range of topics, including Cell culture, Haematopoiesis, microRNA and T cell.
He has included themes like Cancer, Myeloid leukemia, Immunophenotyping and Chromosomal translocation in his Leukemia study.
His research in Internal medicine intersects with topics in Gastroenterology, Surgery and Oncology.
The concepts of his Molecular biology study are interwoven with issues in Genetics, Gene, DNA and Polymerase chain reaction.
His research in Genetics is mostly concerned with Germline.
He most often published in these fields:
- Cancer research (24.40%)
- Immunology (21.05%)
- Leukemia (16.75%)
What were the highlights of his more recent work (between 2018-2021)?
- Cancer research (24.40%)
- Internal medicine (16.27%)
- Leukemia (16.75%)
In recent papers he was focusing on the following fields of study:
Arndt Borkhardt spends much of his time researching Cancer research, Internal medicine, Leukemia, Oncology and Medulloblastoma.
His Cancer research research is multidisciplinary, incorporating perspectives in Cell culture, T cell, Text mining, Chemokine and Immunotherapy.
His study in Internal medicine is interdisciplinary in nature, drawing from both Pearson syndrome and Drug.
His Leukemia study is concerned with Immunology in general.
His Oncology research incorporates themes from Hematopoietic stem cell transplantation, Disease, Clinical trial, Incidence and Minimal residual disease.
His Chromothripsis research is multidisciplinary, relying on both Genome and Germline.
Between 2018 and 2021, his most popular works were:
- Pan-cancer analysis of whole genomes (538 citations)
- Flash survey on severe acute respiratory syndrome coronavirus-2 infections in paediatric patients on anticancer treatment. (70 citations)
- The lncRNA TP73-AS1 is linked to aggressiveness in glioblastoma and promotes temozolomide resistance in glioblastoma cancer stem cells. (50 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Cancer
- Internal medicine
Arndt Borkhardt mainly investigates Cancer research, Oncology, Internal medicine, Germline and Lymphoblastic Leukemia.
His Cancer research study incorporates themes from Cancer stem cell, microRNA and B cell.
His Germline study combines topics in areas such as Genome and Whole genome sequencing.
Genetics and Gene are all intrinsically tied to his study in Whole genome sequencing.
Arndt Borkhardt works mostly in the field of Lymphoblastic Leukemia, limiting it down to topics relating to Side effect and, in certain cases, Leukemia, as a part of the same area of interest.
His research investigates the connection between Gene expression profiling and topics such as Ex vivo that intersect with issues in Regulation of gene expression.
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.
