What is he best known for?
The fields of study he is best known for:
His primary areas of study are Virology, Virus, Polymerase chain reaction, Phylogenetics and Genetics.
The various areas that he examines in his Virology study include TaqMan, Real-time polymerase chain reaction and Amplicon.
His studies in Virus integrate themes in fields like Reverse transcription polymerase chain reaction, Molecular biology, Genotype and Microbiology.
His Polymerase chain reaction study incorporates themes from Viral disease and DNA.
His Phylogenetics course of study focuses on Phylogenetic tree and Genome, Outbreak and Epizootiology.
His study on Nucleic acid sequence and Sequence analysis is often connected to Identification, Lithuanian and Ancestor as part of broader study in Genetics.
His most cited work include:
- Genetic typing of classical swine fever virus. (247 citations)
- Identification and grouping of Newcastle disease virus strains by restriction site analysis of a region from the F gene (177 citations)
- Detection of a novel astrovirus in brain tissue of mink suffering from shaking mink syndrome by use of viral metagenomics. (163 citations)
What are the main themes of his work throughout his whole career to date?
Sándor Belák focuses on Virology, Virus, Polymerase chain reaction, Genetics and Gene.
His research in Virology intersects with topics in Molecular biology, Real-time polymerase chain reaction and Phylogenetic tree.
Sándor Belák combines subjects such as Phylogenetics and Strain with his study of Phylogenetic tree.
His Virus research includes themes of TaqMan, Outbreak, Microbiology and Virulence.
His Nested polymerase chain reaction study in the realm of Polymerase chain reaction connects with subjects such as Molecular beacon.
His work on Open reading frame and Genetic variation as part of general Gene study is frequently linked to Coronavirus, bridging the gap between disciplines.
He most often published in these fields:
- Virology (103.11%)
- Virus (66.54%)
- Polymerase chain reaction (22.96%)
What were the highlights of his more recent work (between 2013-2021)?
- Virology (103.11%)
- Multiplex (7.39%)
- Virus (66.54%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Virology, Multiplex, Virus, Genome and Bead.
The concepts of his Virology study are interwoven with issues in Hepatitis E, Serology and Hepatitis E virus.
His study in Virus is interdisciplinary in nature, drawing from both Real-time polymerase chain reaction and Virulence.
His Genome research is multidisciplinary, incorporating elements of Porcine reproductive and respiratory syndrome virus, Molecular biology and DNA sequencing.
His research integrates issues of Nucleic acid and Sequence analysis in his study of Molecular biology.
His Whole genome sequencing study combines topics in areas such as Genotype and Phylogenetic tree.
Between 2013 and 2021, his most popular works were:
- Markers for Ongoing or Previous Hepatitis E Virus Infection Are as Common in Wild Ungulates as in Humans in Sweden (25 citations)
- Markers for Ongoing or Previous Hepatitis E Virus Infection Are as Common in Wild Ungulates as in Humans in Sweden (25 citations)
- Next-generation sequencing in veterinary medicine: how can the massive amount of information arising from high-throughput technologies improve diagnosis, control, and management of infectious diseases? (24 citations)
In his most recent research, the most cited papers focused on:
Sándor Belák mainly focuses on Virology, Immunoassay, Multiplex, Hepatitis E and Hepatitis E virus.
His work on Virology deals in particular with Classical swine fever and Virus.
His Immunoassay research incorporates themes from Microfluidics and Analytical chemistry.
His Multiplex research is multidisciplinary, incorporating perspectives in Incubation, Chromatography and Primary and secondary antibodies.
The Hepatitis E study combines topics in areas such as Zoonosis, Transmission, Wild boar, Subclinical infection and Roe deer.
He has researched Hepatitis E virus in several fields, including Seroprevalence, Clade, Phylogenetic tree and Capreolus.
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