What is he best known for?
The fields of study he is best known for:
Shannon K. McWeeney focuses on Genetics, Cancer research, Leukemia, Molecular biology and Computational biology.
His biological study spans a wide range of topics, including Reference population and Genetic diversity.
His Cancer research research is multidisciplinary, incorporating elements of Androgen deprivation therapy, Prostate cancer, Androgen receptor and Endocrinology.
Many of his research projects under Leukemia are closely connected to Atypical chronic myeloid leukemia with Atypical chronic myeloid leukemia, tying the diverse disciplines of science together.
His work carried out in the field of Chronic myelogenous leukemia brings together such families of science as Mutation, Imatinib, Imatinib mesylate and Proto-oncogene tyrosine-protein kinase Src.
His Computational biology study combines topics from a wide range of disciplines, such as Single-nucleotide polymorphism, Gene regulatory network and Genome, Genomics.
His most cited work include:
- Defining the CREB Regulon: A Genome-Wide Analysis of Transcription Factor Regulatory Regions (653 citations)
- The BioPAX community standard for pathway data sharing (531 citations)
- Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study. (468 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Cancer research, Genetics, Myeloid leukemia, Gene and Leukemia.
His Cancer research study integrates concerns from other disciplines, such as Mutation, Cancer and Drug resistance.
His research on Mutation often connects related topics like Molecular biology.
Progenitor cell and CD34 is closely connected to Bone marrow in his research, which is encompassed under the umbrella topic of Myeloid leukemia.
His work on Chronic myelogenous leukemia as part of his general Leukemia study is frequently connected to Acute lymphocytic leukemia, thereby bridging the divide between different branches of science.
Shannon K. McWeeney studied Transcriptome and Computational biology that intersect with Bioinformatics.
He most often published in these fields:
- Cancer research (30.26%)
- Genetics (28.62%)
- Myeloid leukemia (15.46%)
What were the highlights of his more recent work (between 2017-2021)?
- Cancer research (30.26%)
- Myeloid leukemia (15.46%)
- Leukemia (16.78%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Cancer research, Myeloid leukemia, Leukemia, Computational biology and Cancer.
His studies in Cancer research integrate themes in fields like Crenolanib, Drug resistance and Chronic lymphocytic leukemia.
The various areas that Shannon K. McWeeney examines in his Drug resistance study include Cell culture and Neuroblastoma RAS viral oncogene homolog.
Shannon K. McWeeney works mostly in the field of Leukemia, limiting it down to concerns involving T cell and, occasionally, Cytotoxic T cell, Asymptomatic and Immunophenotyping.
Shannon K. McWeeney combines subjects such as Transcriptome, Gene and Genomics with his study of Computational biology.
To a larger extent, he studies Genetics with the aim of understanding RNA-Seq.
Between 2017 and 2021, his most popular works were:
- Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study. (468 citations)
- Functional genomic landscape of acute myeloid leukaemia. (288 citations)
- LSD1 activates a lethal prostate cancer gene network independently of its demethylase function (73 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Computational biology, Cancer research, Myeloid leukemia, Leukemia and Myeloid.
Shannon K. McWeeney integrates many fields in his works, including Computational biology and Context.
His Cancer research research incorporates elements of Gene expression, Prostate cancer, Androgen receptor, Chronic lymphocytic leukemia and Acute leukemia.
His Myeloid leukemia research integrates issues from Venetoclax, Germline mutation, Molecular pathology and Drug resistance.
His studies deal with areas such as Cellular differentiation, Cytokine, Paracrine signalling, Tumor microenvironment and Hepatocyte growth factor as well as Leukemia.
The Myeloid study combines topics in areas such as Lineage, Transcription factor, CEBPA, Genomics and Growth factor.
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