What is he best known for?
The fields of study he is best known for:
Manuel A. S. Santos focuses on Genetics, Gene, Genome, Genetic code and Genetic variation.
His Fitness landscape research extends to the thematically linked field of Genetics.
His Gene study incorporates themes from Molecular biology and Protein biosynthesis.
As a part of the same scientific family, Manuel A. S. Santos mostly works in the field of Protein biosynthesis, focusing on Ribosome and, on occasion, Cell biology.
His biological study spans a wide range of topics, including Schizosaccharomyces pombe, Schizosaccharomyces and Computational biology.
His Corpus albicans study in the realm of Candida albicans interacts with subjects such as Origin and function of meiosis.
His most cited work include:
- Evolution of pathogenicity and sexual reproduction in eight Candida genomes (781 citations)
- MicroRNA-155 modulates the interleukin-1 signaling pathway in activated human monocyte-derived dendritic cells (556 citations)
- The CUG codon is decoded in vivo as serine and not leucine in Candida albicans (224 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Gene, Transfer RNA, Genetic code and Genome.
His work on Candida albicans, Saccharomyces cerevisiae, Codon usage bias and Comparative genomics as part of his general Genetics study is frequently connected to Context, thereby bridging the divide between different branches of science.
His work in Gene addresses subjects such as Molecular biology, which are connected to disciplines such as microRNA.
The concepts of his Transfer RNA study are interwoven with issues in Translation, Messenger RNA, Yeast and Protein biosynthesis.
His study explores the link between Genetic code and topics such as Serine that cross with problems in Leucine.
Manuel A. S. Santos combines subjects such as Proteome, Computational biology and Genetic variation with his study of Genome.
He most often published in these fields:
- Genetics (42.33%)
- Gene (26.38%)
- Transfer RNA (23.31%)
What were the highlights of his more recent work (between 2015-2021)?
- Proteome (11.04%)
- Transfer RNA (23.31%)
- Protein biosynthesis (12.88%)
In recent papers he was focusing on the following fields of study:
Manuel A. S. Santos spends much of his time researching Proteome, Transfer RNA, Protein biosynthesis, Computational biology and Cell biology.
Research on Genetics and Biochemistry is a part of his Proteome study.
He interconnects Evolutionary dynamics, Fitness landscape and Adaptive value in the investigation of issues within Genetics.
The subject of his Transfer RNA research is within the realm of Gene.
Manuel A. S. Santos has researched Computational biology in several fields, including Amino acid, Transcriptome, Proteomics and Genome, Codon usage bias.
His Cell biology study integrates concerns from other disciplines, such as Downregulation and upregulation and Yeast.
Between 2015 and 2021, his most popular works were:
- Phenotypic heterogeneity promotes adaptive evolution. (88 citations)
- Fungal Chitin Induces Trained Immunity in Human Monocytes during Cross-talk of the Host with Saccharomyces cerevisiae. (53 citations)
- Discovery and function of transfer RNA-derived fragments and their role in disease. (47 citations)
In his most recent research, the most cited papers focused on:
Manuel A. S. Santos mainly focuses on Transfer RNA, Protein biosynthesis, Computational biology, NMDA receptor and Glutamate receptor.
His Transfer RNA research is multidisciplinary, incorporating elements of Cancer cell, Proteome, Transcriptome and Model organism.
Manuel A. S. Santos has included themes like Human disease, Disease, RNA interference, Protein translation and Molecular targets in his Protein biosynthesis study.
His Computational biology study combines topics in areas such as Amino acid, Protein aggregation, TRNA modification, Translation and Proteostasis.
His study in NMDA receptor is interdisciplinary in nature, drawing from both Hippocampal formation, Neuroscience and Excitatory postsynaptic potential.
He brings together Heterogeneous-Nuclear Ribonucleoprotein K and Cell biology to produce work in his papers.
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