What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Molecular biology, Biochemistry, Computational biology, Gene and Genetics.
The concepts of his Molecular biology study are interwoven with issues in Antibody, Protein A, Gene expression, Escherichia coli and Affinity chromatography.
In his research on the topic of Biochemistry, Binding protein is strongly related with Protein G.
His Computational biology research is multidisciplinary, relying on both Proteomics, Human proteome project and Bioinformatics.
His Proteomics study integrates concerns from other disciplines, such as Human Protein Atlas, Proteome and Epitope.
His Proteome research is multidisciplinary, incorporating elements of Transcriptome, Membrane protein and Cell biology.
His most cited work include:
- Tissue-based map of the human proteome (5369 citations)
- A Sequencing Method Based on Real-Time Pyrophosphate (1722 citations)
- International network of cancer genome projects (1611 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Molecular biology, Computational biology, Biochemistry, Antibody and Gene.
His Molecular biology research is multidisciplinary, incorporating perspectives in DNA, DNA sequencing, Escherichia coli, Polymerase chain reaction and Polyclonal antibodies.
His Computational biology study combines topics in areas such as Proteome, Bioinformatics, Human Protein Atlas and Proteomics, Human proteome project.
The various areas that Mathias Uhlén examines in his Biochemistry study include Protein A and Protein G.
Gene is a subfield of Genetics that Mathias Uhlén tackles.
He interconnects Gene expression profiling and Cell biology in the investigation of issues within Transcriptome.
He most often published in these fields:
- Molecular biology (24.26%)
- Computational biology (24.26%)
- Biochemistry (18.81%)
What were the highlights of his more recent work (between 2017-2021)?
- Computational biology (24.26%)
- Transcriptome (12.87%)
- Disease (4.46%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Computational biology, Transcriptome, Disease, Antibody and Proteome.
His Computational biology study combines topics from a wide range of disciplines, such as Human Protein Atlas, Proteomics and Profiling.
Transcriptome is a subfield of Gene that Mathias Uhlén studies.
His biological study deals with issues like Cancer research, which deal with fields such as Pancreatic cancer, Alternative splicing and Biomarker.
His study in Antibody is interdisciplinary in nature, drawing from both Immunohistochemistry and Cell type.
His biological study spans a wide range of topics, including Precision medicine, Healthy subjects, Omics and Human proteome project.
Between 2017 and 2021, his most popular works were:
- How many human proteoforms are there (219 citations)
- The protein expression profile of ACE2 in human tissues. (205 citations)
- The protein expression profile of ACE2 in human tissues. (205 citations)
In his most recent research, the most cited papers focused on:
Mathias Uhlén mostly deals with Computational biology, Transcriptome, Disease, Proteome and Antibody.
His studies deal with areas such as Phenotype, Proteomics and Identification as well as Computational biology.
His Transcriptome study necessitates a more in-depth grasp of Gene.
The study incorporates disciplines such as Peptide and Trypsin Digestion in addition to Gene.
His studies in Proteome integrate themes in fields like Proteome profiling, Precision medicine, Assimilation and Human proteome project.
Cell biology is closely connected to Cell type in his research, which is encompassed under the umbrella topic of Antibody.
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.
