What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Genetics, Ageing, Longevity, Gene and Genomics.
His study focuses on the intersection of Ageing and fields such as Cell biology with connections in the field of Telomere, Hayflick limit and DNA damage.
His Longevity research incorporates themes from DNA repair and LMNA.
When carried out as part of a general Gene research project, his work on Transcriptome, Gene expression profiling and SHC1 is frequently linked to work in Growth hormone receptor, therefore connecting diverse disciplines of study.
His work in Genomics addresses subjects such as Database, which are connected to disciplines such as Gene mutation.
His Genome research is multidisciplinary, incorporating perspectives in Pharmacological interventions, Computational biology and Model organism.
His most cited work include:
- Meta-analysis of age-related gene expression profiles identifies common signatures of aging (483 citations)
- Human Ageing Genomic Resources: Integrated databases and tools for the biology and genetics of ageing (384 citations)
- Gene co-expression analysis for functional classification and gene-disease predictions (357 citations)
What are the main themes of his work throughout his whole career to date?
João Pedro de Magalhães focuses on Gene, Longevity, Genetics, Ageing and Senescence.
His Gene study combines topics from a wide range of disciplines, such as Cancer and Computational biology.
His study explores the link between Computational biology and topics such as Functional genomics that cross with problems in Gene expression profiling.
His Longevity study combines topics in areas such as Evolutionary biology, Database, Phenotype, Comparative genomics and Phylogenetics.
His Disease research extends to Genetics, which is thematically connected.
The various areas that João Pedro de Magalhães examines in his Senescence study include Premature senescence, Cell, Stress-induced premature senescence and Neuroscience.
He most often published in these fields:
- Gene (31.41%)
- Longevity (29.49%)
- Genetics (28.85%)
What were the highlights of his more recent work (between 2018-2021)?
- Gene (31.41%)
- Transcriptome (10.26%)
- Longevity (29.49%)
In recent papers he was focusing on the following fields of study:
João Pedro de Magalhães mainly focuses on Gene, Transcriptome, Longevity, Cell biology and Computational biology.
His work deals with themes such as Cancer, Senescence and Ageing, which intersect with Gene.
In his study, Ecology and Evolutionary biology is inextricably linked to Comparative genomics, which falls within the broad field of Longevity.
He interconnects RNA, Non-coding RNA and RNA methylation in the investigation of issues within Computational biology.
João Pedro de Magalhães merges Conserved sequence with Genetics in his research.
João Pedro de Magalhães frequently studies issues relating to Disease and Genetics.
Between 2018 and 2021, his most popular works were:
- RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types. (161 citations)
- WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach. (61 citations)
- To help aging populations, classify organismal senescence. (23 citations)
In his most recent research, the most cited papers focused on:
João Pedro de Magalhães spends much of his time researching Transcriptome, Gene, Computational biology, RNA and Cellular senescence.
His studies in Transcriptome integrate themes in fields like MiRNA binding, Single-nucleotide polymorphism, Alternative splicing, Epigenesis and Regulation of gene expression.
His Gene research incorporates elements of Cell biology, Immune system and Ageing.
His Computational biology research integrates issues from Meta-analysis, Microarray, Fight-or-flight response and Developmental genes.
His RNA research includes elements of RNA methylation, Messenger RNA, N6-Methyladenosine and Database.
His research investigates the link between Cellular senescence and topics such as Disease classification that cross with problems in Senescence.
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