What is he best known for?
The fields of study he is best known for:
His main research concerns Proteomics, Bioinformatics, Mass spectrometry, Computational biology and Proteome.
His Proteomics research is multidisciplinary, incorporating elements of Systems biology, Phosphorylation, Reproducibility, Biomarker and Kinase.
His biological study spans a wide range of topics, including Quantitative proteomics, Biomarker discovery, Targeted mass spectrometry, Extracellular matrix and In silico.
The various areas that he examines in his Computational biology study include Genome, Serous fluid, Ovarian cancer, Breast cancer and Chromosome instability.
The Proteome study combines topics in areas such as Gene dosage, Proteogenomics, Gene and Function.
His research in Chromatography intersects with topics in Peptide sequence and Peptide.
His most cited work include:
- Orexins and Orexin Receptors: A Family of Hypothalamic Neuropeptides and G Protein-Coupled Receptors that Regulate Feeding Behavior (4455 citations)
- The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease (3268 citations)
- A Mitochondrial Protein Compendium Elucidates Complex I Disease Biology (1465 citations)
What are the main themes of his work throughout his whole career to date?
Steven A. Carr focuses on Proteomics, Cell biology, Computational biology, Cancer research and Mass spectrometry.
His Proteomics study incorporates themes from Proteome, Bioinformatics and Proteogenomics.
His research brings together the fields of Translation and Cell biology.
Steven A. Carr combines subjects such as Gene and Genomics with his study of Computational biology.
His Cancer research research integrates issues from Cancer cell, Cancer, Kinase, Extracellular matrix and Ubiquitin ligase.
His studies in Mass spectrometry integrate themes in fields like Biochemistry and Peptide.
He most often published in these fields:
- Proteomics (22.62%)
- Cell biology (18.85%)
- Computational biology (17.74%)
What were the highlights of his more recent work (between 2018-2021)?
- Cancer research (16.63%)
- Cell biology (18.85%)
- Proteomics (22.62%)
In recent papers he was focusing on the following fields of study:
Steven A. Carr mainly investigates Cancer research, Cell biology, Proteomics, Computational biology and Proteome.
His Cancer research research includes elements of Carcinogenesis, Cancer, Immune system, Kinase and Ubiquitin ligase.
The study incorporates disciplines such as Gene expression, Biotinylation, Transcription factor, Mutant and Ribosome in addition to Cell biology.
The subject of his Proteomics research is within the realm of Gene.
As part of one scientific family, Steven A. Carr deals mainly with the area of Computational biology, narrowing it down to issues related to the Epitope, and often Cancer immunotherapy and Human leukocyte antigen.
His Proteome study combines topics in areas such as Proteomic Profiling, Enzyme, Viral replication, Interactome and Peptide.
Between 2018 and 2021, his most popular works were:
- Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities. (142 citations)
- Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma. (96 citations)
- A large peptidome dataset improves HLA class I epitope prediction across most of the human population. (77 citations)
In his most recent research, the most cited papers focused on:
Proteomics, Computational biology, Proteome, Cancer research and Cell biology are his primary areas of study.
His studies deal with areas such as Cancer cell, Proteogenomics, Serous fluid and Multicellular organism as well as Proteomics.
His Computational biology research incorporates elements of PI3K/AKT/mTOR pathway and Phosphorylation.
The concepts of his Proteome study are interwoven with issues in Interlaboratory reproducibility, Time course, Proteomic Profiling, Epitope and Peptide.
Steven A. Carr has researched Cancer research in several fields, including Extracellular matrix, Mitochondrion, Immune system and Lymphoma.
His Cell biology research includes themes of Homeobox, Loss function, CRISPR, RNA and Interactome.
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