What is he best known for?
The fields of study he is best known for:
His main research concerns Coronavirus, Cell biology, Virology, Viral replication and Mouse hepatitis virus.
His Cell biology research includes themes of Lipid bilayer fusion, Endocytosis, Cell fusion and Furin.
His work carried out in the field of Lipid bilayer fusion brings together such families of science as Viral entry, Peptide sequence and Peptide.
His Furin research incorporates themes from Protein A and Fusion protein.
His work in the fields of Virology, such as Virus, overlaps with other areas such as Nidovirales.
His Viral replication study combines topics from a wide range of disciplines, such as Downregulation and upregulation, Point mutation, Molecular biology, Endoplasmic reticulum and Secretory pathway.
His most cited work include:
- Guidelines for the use and interpretation of assays for monitoring autophagy (3242 citations)
- The Coronavirus Spike Protein Is a Class I Virus Fusion Protein: Structural and Functional Characterization of the Fusion Core Complex (793 citations)
- Coronaviruses Hijack the LC3-I-Positive EDEMosomes, ER-Derived Vesicles Exporting Short-Lived ERAD Regulators, for Replication (238 citations)
What are the main themes of his work throughout his whole career to date?
Cornelis A. M. de Haan mostly deals with Virology, Virus, Coronavirus, Cell biology and Viral replication.
His Virology study incorporates themes from Epitope, Receptor and Immune system.
His work deals with themes such as Innate immune system, Antibody and Vaccination, which intersect with Virus.
His Cell biology research includes elements of Viral envelope, Lipid bilayer fusion and Molecular biology.
As a part of the same scientific study, Cornelis A. M. de Haan usually deals with the Lipid bilayer fusion, concentrating on Fusion protein and frequently concerns with Heptad repeat.
His studies deal with areas such as RNA virus, Downregulation and upregulation, Transcription and Live cell imaging as well as Viral replication.
He most often published in these fields:
- Virology (48.76%)
- Virus (40.50%)
- Coronavirus (35.54%)
What were the highlights of his more recent work (between 2018-2021)?
- Influenza A virus (19.83%)
- Neuraminidase (14.88%)
- Virus (40.50%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Influenza A virus, Neuraminidase, Virus, Virology and Hemagglutinin.
His Influenza A virus study frequently involves adjacent topics like Biochemistry.
His Neuraminidase research is multidisciplinary, incorporating elements of Sialic acid, Sialic acid binding and Microbiology.
His Virus research focuses on subjects like Innate immune system, which are linked to Cell activation and Viral entry.
Many of his research projects under Virology are closely connected to Hemagglutination assay with Hemagglutination assay, tying the diverse disciplines of science together.
He performs multidisciplinary study in Viral replication and Coronavirus in his work.
Between 2018 and 2021, his most popular works were:
- Nucleocapsid protein recruitment to replication-transcription complexes plays a crucial role in coronaviral life cycle (109 citations)
- β-Coronaviruses Use Lysosomes for Egress Instead of the Biosynthetic Secretory Pathway. (73 citations)
- Influenza A Virus Hemagglutinin-Neuraminidase-Receptor Balance: Preserving Virus Motility. (29 citations)
In his most recent research, the most cited papers focused on:
Cornelis A. M. de Haan mainly investigates Influenza A virus, Neuraminidase, Sialic acid, Hemagglutinin-neuraminidase and Cell biology.
Influenza A virus is a subfield of Virus that he tackles.
He is interested in Viral replication, which is a field of Virus.
The various areas that Cornelis A. M. de Haan examines in his Neuraminidase study include Hemagglutinin, Tropism and Virus genetics.
His work on Secretory pathway is typically connected to Small GTPase as part of general Cell biology study, connecting several disciplines of science.
Cornelis A. M. de Haan combines Mouse hepatitis virus and Virology in his research.
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.
