What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Genetics, Immunology, Genetic linkage, Candidate gene and Mutation.
His research investigates the connection with Genetics and areas like Computational biology which intersect with concerns in Conserved sequence, Whole genome sequencing, Genome and Linkage.
His research integrates issues of Penetrance and Genotype in his study of Immunology.
His Candidate gene research is multidisciplinary, relying on both Congenital Neutropenia, Inflammatory bowel disease, Immunodeficiency, Ulcerative colitis and Transplantation.
The study incorporates disciplines such as Colitis, Transmembrane activator and CAML interactor, Interleukin 10 and Immunoglobulin class switching in addition to Mutation.
His Smith–Waterman algorithm research includes elements of Sequence database, Substitution matrix and BLOSUM.
His most cited work include:
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. (63278 citations)
- Faster sequential genetic linkage computations. (1261 citations)
- Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements (1134 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Genetics, Gene, Computational biology, Immunology and Genetic linkage.
His Locus, Genome, Microsatellite, Gene mapping and Chromosome study are his primary interests in Genetics.
His Gene research is multidisciplinary, incorporating elements of Molecular biology and Breast cancer.
Alejandro A. Schäffer works mostly in the field of Computational biology, limiting it down to topics relating to Cancer and, in certain cases, Phylogenetic tree, Fluorescence in situ hybridization and Pathology.
His work in Immunology covers topics such as Mutation which are related to areas like Exon.
His studies deal with areas such as Pedigree chart, Linkage and Genotype as well as Genetic linkage.
He most often published in these fields:
- Genetics (44.40%)
- Gene (15.83%)
- Computational biology (13.90%)
What were the highlights of his more recent work (between 2017-2021)?
- Computational biology (13.90%)
- Gene (15.83%)
- Breast cancer (4.63%)
In recent papers he was focusing on the following fields of study:
Alejandro A. Schäffer mostly deals with Computational biology, Gene, Breast cancer, Genetics and Phenotype.
His Computational biology study incorporates themes from Cancer, Cell, Transcriptome, Gene expression and SMA*.
His work is connected to Germline, Genetic linkage, Exome sequencing, Exome and Interphase, as a part of Genetics.
His work focuses on many connections between Genetic linkage and other disciplines, such as Missense mutation, that overlap with his field of interest in Genotype.
His work carried out in the field of Phenotype brings together such families of science as Immunology, Immunocompetence, STAT protein and Immunodeficiency.
He combines subjects such as Mutation and Cancer research with his study of Aneuploidy.
Between 2017 and 2021, his most popular works were:
- Autosomal recessive Noonan syndrome associated with biallelic LZTR1 variants. (54 citations)
- ZNF341 controls STAT3 expression and thereby immunocompetence (51 citations)
- Hypomorphic caspase activation and recruitment domain 11 ( CARD11 ) mutations associated with diverse immunologic phenotypes with or without atopic disease (35 citations)
In his most recent research, the most cited papers focused on:
Genetics, Gene, Phenotype, Breast cancer and Ploidy are his primary areas of study.
His is doing research in Germline, Genomics, Homologous recombination, Carcinogenesis and Karyotype, both of which are found in Genetics.
Alejandro A. Schäffer has researched Gene in several fields, including Expression and Computational biology.
His research in Phenotype intersects with topics in Immune dysregulation, Immunocompetence and STAT protein.
His study in Breast cancer is interdisciplinary in nature, drawing from both Mutation, Tp53 mutation, Aneuploidy and Cancer research.
His work deals with themes such as Daughter, Somatic evolution in cancer, Phylogenetics, Chromosome instability and Interphase, which intersect with Ploidy.
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