What is he best known for?
The fields of study he is best known for:
Haichun Gao mainly focuses on Shewanella, Shewanella oneidensis, Gene, Microbiology and Genetics.
His Shewanella research is multidisciplinary, incorporating perspectives in Vibrionaceae, Electron acceptor, Mineralization and Phylogenetic tree.
His Shewanella oneidensis research incorporates elements of Transcriptome, Biochemistry, Operon, Mutant and TetR.
In the field of Gene, his study on Heat shock protein and Heat shock overlaps with subjects such as Nucleic acid amplification technique and Ribosomal protein.
Haichun Gao has researched Microbiology in several fields, including 16S ribosomal RNA and Bacteria.
His study in the field of Microbial population biology, RNA, Gene expression profiling and Microarray analysis techniques also crosses realms of Denitrifying bacteria.
His most cited work include:
- Global Transcriptome Analysis of the Heat Shock Response of Shewanella oneidensis (173 citations)
- Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory (172 citations)
- Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory (172 citations)
What are the main themes of his work throughout his whole career to date?
Haichun Gao mostly deals with Shewanella oneidensis, Biochemistry, Shewanella, Mutant and Bacteria.
His Shewanella oneidensis study contributes to a more complete understanding of Genetics.
The Biochemistry study combines topics in areas such as Nitrite and Respiration.
His work deals with themes such as Flagellum, Microbiology, Cellular respiration, Operon and Electron acceptor, which intersect with Shewanella.
The various areas that he examines in his Microbiology study include Paenibacillus and 16S ribosomal RNA.
His work on Regulon as part of general Mutant study is frequently connected to Ferric, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
He most often published in these fields:
- Shewanella oneidensis (105.36%)
- Biochemistry (65.18%)
- Shewanella (76.79%)
What were the highlights of his more recent work (between 2016-2021)?
- Shewanella oneidensis (105.36%)
- Biochemistry (65.18%)
- Cell biology (15.18%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Shewanella oneidensis, Biochemistry, Cell biology, Mutant and Escherichia coli.
He interconnects Regulon, Transcriptional regulation, Cell envelope, Regulator and Shewanella in the investigation of issues within Shewanella oneidensis.
Haichun Gao integrates many fields, such as Shewanella and Ferric, in his works.
His work carried out in the field of Biochemistry brings together such families of science as Nitrite and Bacteria.
His Bacteria research integrates issues from Cytochrome and Electron acceptor.
His Cell biology research incorporates themes from Phenotype, Gene, Glutathione, Glutaredoxin and Repressor.
Between 2016 and 2021, his most popular works were:
- Deletion of Lytic Transglycosylases Increases Beta-Lactam Resistance in Shewanella oneidensis. (15 citations)
- Defining the binding determinants of Shewanella oneidensis OxyR: Implications for the link between the contracted OxyR regulon and adaptation. (12 citations)
- Loss of OxyR reduces efficacy of oxygen respiration in Shewanella oneidensis. (11 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Shewanella oneidensis, Biochemistry, Escherichia coli, Bacteria and Cell biology.
His study in Shewanella oneidensis is interdisciplinary in nature, drawing from both Mutant, Cytochrome, Enzyme, Shewanella and Electron acceptor.
He works on Mutant which deals in particular with Permease.
His Cytochrome research includes themes of Regulator, Phenotype, Mutation and Respiration.
His study deals with a combination of Shewanella and Ferric.
Haichun Gao has researched Escherichia coli in several fields, including Psychological repression, Promoter and Regulation of gene expression.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
