What is he best known for?
The fields of study he is best known for:
Geoffrey N. Gobert spends much of his time researching Schistosoma japonicum, Schistosoma mansoni, Schistosomiasis, Immunology and Schistosoma.
His studies deal with areas such as Viral tegument, DNA microarray, Gene expression, Gene expression profiling and Cell biology as well as Schistosoma japonicum.
Geoffrey N. Gobert has researched Schistosoma mansoni in several fields, including Cathepsin D, Cathepsin L1, Virology, Biochemistry and Molecular biology.
His study in Schistosomiasis is interdisciplinary in nature, drawing from both Veterinary medicine, Disease and Health policy.
His Immunology study incorporates themes from Fibrosis and Hepatic stellate cell.
His Schistosoma study integrates concerns from other disciplines, such as Schistosomiasis vaccine, Antigen, Immunoglobulin E, Antibody and Immunomics.
His most cited work include:
- Immunopathogenesis of human schistosomiasis (280 citations)
- Advances in the Diagnosis of Human Schistosomiasis (113 citations)
- Exposed proteins of the Schistosoma japonicum tegument (113 citations)
What are the main themes of his work throughout his whole career to date?
Schistosoma japonicum, Schistosomiasis, Immunology, Schistosoma and Schistosoma mansoni are his primary areas of study.
His biological study spans a wide range of topics, including Gene expression, Gene, Gene expression profiling, Virology and Molecular biology.
His work in Molecular biology tackles topics such as Cell biology which are related to areas like Viral tegument.
His work deals with themes such as Feces, Antigen, Veterinary medicine, Digital polymerase chain reaction and Disease, which intersect with Schistosomiasis.
In his study, Granuloma is inextricably linked to Fibrosis, which falls within the broad field of Immunology.
The Schistosoma mansoni study combines topics in areas such as Biochemistry and Helminth protein.
He most often published in these fields:
- Schistosoma japonicum (52.55%)
- Schistosomiasis (32.12%)
- Immunology (29.20%)
What were the highlights of his more recent work (between 2016-2021)?
- Schistosoma japonicum (52.55%)
- Schistosomiasis (32.12%)
- Schistosoma (30.66%)
In recent papers he was focusing on the following fields of study:
Geoffrey N. Gobert mostly deals with Schistosoma japonicum, Schistosomiasis, Schistosoma, Hepatic fibrosis and Pathology.
Schistosoma japonicum is a subfield of Zoology that Geoffrey N. Gobert studies.
Geoffrey N. Gobert has included themes like Veterinary medicine, Infection prevalence, Digital polymerase chain reaction and Disease in his Schistosomiasis study.
He combines subjects such as Feces, Saliva, Immunology and Neglected tropical diseases with his study of Digital polymerase chain reaction.
His Schistosoma study is associated with Schistosoma mansoni.
His studies in Schistosoma mansoni integrate themes in fields like Immune system, Transmission, Parasitic disease, Praziquantel and Schistosoma malayensis.
Between 2016 and 2021, his most popular works were:
- Schistosome-Induced Fibrotic Disease: The Role of Hepatic Stellate Cells. (35 citations)
- Droplet Digital PCR Diagnosis of Human Schistosomiasis: Parasite Cell-Free DNA Detection in Diverse Clinical Samples. (33 citations)
- Droplet Digital PCR Diagnosis of Human Schistosomiasis: Parasite Cell-Free DNA Detection in Diverse Clinical Samples. (33 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Schistosomiasis, Schistosoma japonicum, Disease, Genetics and Genome.
His primary area of study in Schistosomiasis is in the field of Schistosoma.
His Schistosoma research integrates issues from Transmission, Parasitic disease and Environmental health.
Schistosoma japonicum is a subfield of Immunology that Geoffrey N. Gobert tackles.
His Immunology study combines topics from a wide range of disciplines, such as Duplex and Parasitology.
His work in the fields of Genetics, such as Whole genome sequencing, Sequence assembly and Repeated sequence, overlaps with other areas such as Paragonimus and Paragonimus westermani.
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.
