What is he best known for?
The fields of study he is best known for:
Kan Wang spends much of his time researching Transformation, Agrobacterium, Genetically modified crops, Genetically modified maize and Botany.
His work on Transformation efficiency and Agrobacterium tumefaciens as part of general Transformation study is frequently connected to T-DNA Binary system, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
As part of his research on Agrobacterium, studies on Genetics and Gene are part of the effort.
His studies deal with areas such as Cellulosic ethanol, Provitamin and Biofuel, Biotechnology as well as Genetically modified crops.
Within one scientific family, Kan Wang focuses on topics pertaining to Poaceae under Genetically modified maize, and may sometimes address concerns connected to Callus.
The various areas that he examines in his Botany study include Explant culture and Bialaphos.
His most cited work include:
- Mesoporous silica nanoparticles deliver DNA and chemicals into plants (919 citations)
- Agrobacterium tumefaciens-Mediated Transformation of Maize Embryos Using a Standard Binary Vector System (419 citations)
- A mini binary vector series for plant transformation. (402 citations)
What are the main themes of his work throughout his whole career to date?
Kan Wang mainly focuses on Gene, Transformation, Genetics, Agrobacterium and Genetically modified crops.
In his research on the topic of Gene, Plant cell, Transfer DNA and Reporter gene is strongly related with Cell biology.
Kan Wang interconnects Explant culture, Transgene and Botany, Callus in the investigation of issues within Transformation.
In the field of Genetics, his study on Locus, DNA, Mutant and Plasmid overlaps with subjects such as T-DNA Binary system.
The Agrobacterium study which covers Bialaphos that intersects with Selectable marker.
His work deals with themes such as Genotype, Biotechnology and Genetically modified organism, which intersect with Genetically modified crops.
He most often published in these fields:
- Gene (29.46%)
- Transformation (28.57%)
- Genetics (23.21%)
What were the highlights of his more recent work (between 2016-2021)?
- Genome editing (17.86%)
- Gene (29.46%)
- CRISPR (11.61%)
In recent papers he was focusing on the following fields of study:
Kan Wang focuses on Genome editing, Gene, CRISPR, Computational biology and Genetics.
The study incorporates disciplines such as Genetically modified crops, Genetic model, Biotechnology and RNA in addition to Genome editing.
His Agrobacterium, Transformation, Transgene and Agrobacterium tumefaciens investigations are all subjects of Gene research.
His Transformation study combines topics in areas such as Explant culture and Gene delivery.
His Computational biology research is multidisciplinary, relying on both Mutagenesis and Genome.
His work on Chromosome as part of general Genetics research is frequently linked to Restructuring, thereby connecting diverse disciplines of science.
Between 2016 and 2021, his most popular works were:
- An Agrobacterium-delivered CRISPR/Cas9 system for high-frequency targeted mutagenesis in maize. (157 citations)
- Activities and specificities of CRISPR/Cas9 and Cas12a nucleases for targeted mutagenesis in maize. (73 citations)
- Application of CRISPR-Cas12a temperature sensitivity for improved genome editing in rice, maize, and Arabidopsis (56 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Gene, CRISPR, Genome editing, Cas9 and Computational biology.
Kan Wang regularly ties together related areas like DNA in his Gene studies.
His Genome editing study improves the overall literature in Genetics.
His Cas9 research integrates issues from DNA Integration, Locus and Agrobacterium.
His study in Computational biology is interdisciplinary in nature, drawing from both Insertional mutagenesis, Genome, genomic DNA, Exon and Mutagenesis.
Kan Wang has included themes like Genetic model, Biotechnology and Genetic diversity in his Genome study.
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