What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Genetics, Caenorhabditis elegans, Genome, Cell biology and Chromosome 3.
John Sulston connects Genetics with Mycobacterium africanum in his research.
John Sulston interconnects Restriction map, Restriction enzyme and Neuroscience in the investigation of issues within Caenorhabditis elegans.
Particularly relevant to Gene density is his body of work in Genome.
His work deals with themes such as Chimpanzee genome project, DNA sequencing theory, Cancer Genome Project, Hybrid genome assembly and Personal genomics, which intersect with Gene density.
The study incorporates disciplines such as Complementation, Cell, Cell division and Lineage in addition to Cell biology.
His most cited work include:
- Initial sequencing and analysis of the human genome. (18816 citations)
- Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence (6751 citations)
- The embryonic cell lineage of the nematode Caenorhabditis elegans. (3282 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Genetics, Caenorhabditis elegans, Genome, Gene and Cell biology.
His studies link Computational biology with Genetics.
His Computational biology research integrates issues from Hybrid genome assembly and Human genome.
His biological study spans a wide range of topics, including Cell, Lineage and Function.
His Genome research is multidisciplinary, incorporating perspectives in Base pair, Sequence analysis and Gene mapping.
His Cell biology research incorporates elements of Cell lineage and Embryogenesis.
He most often published in these fields:
- Genetics (59.46%)
- Caenorhabditis elegans (33.78%)
- Genome (25.68%)
What were the highlights of his more recent work (between 1997-2017)?
- Genetics (59.46%)
- Genome (25.68%)
- Genomics (13.51%)
In recent papers he was focusing on the following fields of study:
John Sulston focuses on Genetics, Genome, Genomics, Computational biology and Human genome.
In the subject of general Genome, his work in Gene density, Repetitive Sequences and Mycobacterium Tuberculosis Structural Genomics Consortium is often linked to Mycobacterium africanum, thereby combining diverse domains of study.
John Sulston combines subjects such as Chimpanzee genome project, Cancer Genome Project and DNA sequencing theory with his study of Gene density.
His studies in Cancer Genome Project integrate themes in fields like Personal genomics and Cancer genome sequencing.
His Genomics research includes themes of Caenorhabditis elegans, Whole genome sequencing and DNA sequencing.
John Sulston has included themes like Genomic information, Hybrid genome assembly and Genomic organization in his Computational biology study.
Between 1997 and 2017, his most popular works were:
- Initial sequencing and analysis of the human genome. (18816 citations)
- Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence (6751 citations)
- The DNA sequence of human chromosome 22 (1150 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Genetics, Chromosome 21, Chromosome 19, Genome and Chromosome 22.
His Genome project and Mycobacterium Tuberculosis Structural Genomics Consortium study, which is part of a larger body of work in Genetics, is frequently linked to Mycobacterium africanum, Mycobactin and CFP-10, bridging the gap between disciplines.
His work on Genomics as part of general Genome study is frequently connected to Mycobacterium tuberculosis, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Chromosome 22 study incorporates themes from Chromosome 15, Chromosome 4, Chromosome 3, Chromosome 17 and Chromosome 16.
In his study, Human genome is inextricably linked to Genomic organization, which falls within the broad field of Sequence.
His studies deal with areas such as Chimpanzee genome project, DNA sequencing theory, Cancer Genome Project, Hybrid genome assembly and Cancer genome sequencing as well as Computational biology.
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