What is he best known for?
The fields of study he is best known for:
Joao A. Paulo mostly deals with Cell biology, Biochemistry, Proteome, Proteomics and Mitochondrion.
His biological study spans a wide range of topics, including ATG8, Ubiquitin, Ubiquitin ligase and Downregulation and upregulation.
Joao A. Paulo interconnects Tandem mass spectrometry, Mass spectrometry, Saccharomyces cerevisiae, Isobaric labeling and Computational biology in the investigation of issues within Proteome.
His Proteomics research focuses on subjects like Bioinformatics, which are linked to Substrate specificity, Ubiquitin-Like Protein Nedd8 and Proteostasis.
The Mitochondrion study combines topics in areas such as Parkin and PINK1.
Joao A. Paulo has included themes like Receptor, Function and Protein–protein interaction in his Membrane protein study.
His most cited work include:
- The BioPlex Network: A Systematic Exploration of the Human Interactome (837 citations)
- Architecture of the human interactome defines protein communities and disease networks (670 citations)
- The PINK1-PARKIN Mitochondrial Ubiquitylation Pathway Drives a Program of OPTN/NDP52 Recruitment and TBK1 Activation to Promote Mitophagy. (397 citations)
What are the main themes of his work throughout his whole career to date?
Joao A. Paulo focuses on Cell biology, Proteomics, Proteome, Biochemistry and Computational biology.
His Cell biology study integrates concerns from other disciplines, such as Receptor, Cell and Ubiquitin, Ubiquitin ligase.
His Ubiquitin research includes elements of PINK1 and Mitophagy.
The concepts of his Proteomics study are interwoven with issues in Sample preparation, Pancreatic juice and Mass spectrometry.
His Proteome study incorporates themes from Saccharomyces cerevisiae, Tandem mass tag, Quantitative proteomics, Pancreas and Molecular biology.
His studies in Computational biology integrate themes in fields like Human interactome and Function.
He most often published in these fields:
- Cell biology (34.19%)
- Proteomics (32.48%)
- Proteome (26.92%)
What were the highlights of his more recent work (between 2019-2021)?
- Cell biology (34.19%)
- Proteome (26.92%)
- Proteomics (32.48%)
In recent papers he was focusing on the following fields of study:
Joao A. Paulo spends much of his time researching Cell biology, Proteome, Proteomics, Computational biology and Quantitative proteomics.
His Cell biology research integrates issues from Ubiquitin, Ubiquitin ligase, Gene expression, Messenger RNA and Ribosome.
His Proteome study combines topics in areas such as Phenotype, Isobaric labeling, Tandem mass tag, In vivo and Islet.
Proteomics is a subfield of Biochemistry that he investigates.
His work in Computational biology addresses subjects such as HEK 293 cells, which are connected to disciplines such as Human interactome, Interactome and Function.
His studies deal with areas such as Data mining, Saccharomyces cerevisiae and Metabolic pathway as well as Quantitative proteomics.
Between 2019 and 2021, his most popular works were:
- Autophagy promotes immune evasion of pancreatic cancer by degrading MHC-I (110 citations)
- A Quantitative Tissue-Specific Landscape of Protein Redox Regulation during Aging (56 citations)
- TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samples. (53 citations)
In his most recent research, the most cited papers focused on:
Joao A. Paulo mainly focuses on Cell biology, Proteome, Gene expression, Chromatin and Data mining.
He has researched Cell biology in several fields, including Translation, Ribosome and Cell growth.
His Proteome study combines topics from a wide range of disciplines, such as Schizosaccharomyces pombe, Phenotype, Proteomics, Computational biology and In vivo.
His work deals with themes such as HEK 293 cells, Human interactome, Interactome and Islet, which intersect with Phenotype.
Joao A. Paulo conducts interdisciplinary study in the fields of Proteomics and Redox through his research.
Joao A. Paulo combines subjects such as Protein aggregation, Saccharomyces cerevisiae, Yeast, Period and Metabolic pathway with his study of Computational biology.
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