What is he best known for?
The fields of study he is best known for:
Peter K. Sorger mainly investigates Cell biology, Signal transduction, Kinetochore, Computational biology and Systems biology.
His work on Cell signaling is typically connected to Heat shock factor as part of general Cell biology study, connecting several disciplines of science.
The various areas that Peter K. Sorger examines in his Signal transduction study include Autocrine Communication and Autocrine signalling.
His study looks at the intersection of Kinetochore and topics like Spindle apparatus with Anaphase.
His work focuses on many connections between Computational biology and other disciplines, such as Bioinformatics, that overlap with his field of interest in Signalling.
His biological study spans a wide range of topics, including Clinical efficacy, Biotechnology, Combination therapy and Risk analysis.
His most cited work include:
- Cells on chips (1766 citations)
- Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq (1687 citations)
- Non-genetic origins of cell-to-cell variability in TRAIL-induced apoptosis (814 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cell biology, Cancer research, Signal transduction, Computational biology and Kinase.
His research integrates issues of Apoptosis and Spindle checkpoint, Kinetochore in his study of Cell biology.
Peter K. Sorger studied Kinetochore and Centromere that intersect with Saccharomyces cerevisiae.
His Cancer research research focuses on subjects like Cell, which are linked to Cell culture.
His Signal transduction study integrates concerns from other disciplines, such as Receptor and Bioinformatics.
His research in Computational biology is mostly concerned with Systems biology.
He most often published in these fields:
- Cell biology (37.56%)
- Cancer research (17.56%)
- Signal transduction (18.89%)
What were the highlights of his more recent work (between 2018-2021)?
- Cancer research (17.56%)
- Kinase (12.89%)
- Computational biology (15.56%)
In recent papers he was focusing on the following fields of study:
Peter K. Sorger mainly focuses on Cancer research, Kinase, Computational biology, Immune system and Tumor microenvironment.
In the field of Cancer research, his study on Melanoma overlaps with subjects such as PARP inhibitor.
The study incorporates disciplines such as Abemaciclib, Mitosis, Cyclin A and Phosphorylation in addition to Kinase.
His Computational biology research incorporates themes from Context, Transcriptome, Phosphoproteomics, Genomics and Kinome.
His research on Immune system frequently links to adjacent areas such as Cell.
His research in Triple-negative breast cancer intersects with topics in Protein kinase B and PI3K/AKT/mTOR pathway.
Between 2018 and 2021, his most popular works were:
- SARS-CoV-2 infection protects against rechallenge in rhesus macaques. (415 citations)
- The Human Tumor Atlas Network: Charting Tumor Transitions Across Space and Time at Single-Cell Resolution (65 citations)
- Immunogenomic profiling determines responses to combined PARP and PD-1 inhibition in ovarian cancer. (39 citations)
In his most recent research, the most cited papers focused on:
Cancer research, Computational biology, Cell biology, Signal transduction and Personal protective equipment are his primary areas of study.
Peter K. Sorger has researched Cancer research in several fields, including Cyclin-dependent kinase 1, Cell cycle, Cytotoxic T cell and Cancer cell.
The Computational biology study combines topics in areas such as Context, Affinities, Peptide and Drug discovery.
His Cell biology research is mostly focused on the topic Protein kinase A.
The various areas that Peter K. Sorger examines in his Signal transduction study include Receptor, Endocytosis, Fold change and Systems biology.
His Personal protective equipment research incorporates elements of Intensive care medicine, Betacoronavirus and Severe acute respiratory syndrome coronavirus 2.
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