What is he best known for?
The fields of study he is best known for:
Myxobolus cerebralis, Ecology, Rainbow trout, Zoology and Trout are his primary areas of study.
Mansour El-Matbouli combines subjects such as Phylogenetics, Ribosomal DNA and Kudoa thyrsites with his study of Myxobolus cerebralis.
In the subject of general Ecology, his work in Intermediate host, Tubifex tubifex, Tubifex and Invertebrate host is often linked to Transmission, thereby combining diverse domains of study.
His Tubifex tubifex study combines topics in areas such as Infectivity and Microbiology.
His research on Rainbow trout also deals with topics like
- Anatomy together with Carp,
- Brown trout that connect with fields like Myxozoa,
- Veterinary medicine which is related to area like Protozoan infection.
Mansour El-Matbouli interconnects Ecology, Host, Salmonidae and Disease in the investigation of issues within Trout.
His most cited work include:
- Recent Advances in Our Knowledge of the Myxozoa (477 citations)
- Whirling disease: re-emergence among wild trout (166 citations)
- Whirling disease: re-emergence among wild trout (166 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Microbiology, Myxobolus cerebralis, Rainbow trout, Zoology and Ecology.
His Microbiology research incorporates elements of Yersinia ruckeri, Aeromonas salmonicida, Immune system and Virulence.
His study on Myxobolus cerebralis also encompasses disciplines like
- Tubifex tubifex together with Tubifex and Oligochaeta,
- Spore which connect with Ribosomal DNA.
In his work, Salmonidae is strongly intertwined with Trout, which is a subfield of Rainbow trout.
Mansour El-Matbouli usually deals with Zoology and limits it to topics linked to Common carp and Outbreak, Aquaculture and Fish farming.
The study incorporates disciplines such as Infectivity and Myxozoa in addition to Ecology.
He most often published in these fields:
- Microbiology (31.65%)
- Myxobolus cerebralis (25.74%)
- Rainbow trout (22.78%)
What were the highlights of his more recent work (between 2017-2021)?
- Microbiology (31.65%)
- Rainbow trout (22.78%)
- Salmo (11.39%)
In recent papers he was focusing on the following fields of study:
Mansour El-Matbouli mostly deals with Microbiology, Rainbow trout, Salmo, Tetracapsuloides bryosalmonae and Brown trout.
His study in Microbiology is interdisciplinary in nature, drawing from both Proteome, Cell culture, Immune system, Yersinia ruckeri and Virulence.
Mansour El-Matbouli studies Myxobolus cerebralis which is a part of Rainbow trout.
His research investigates the connection between Salmo and topics such as Zoology that intersect with problems in Myxozoa.
Mansour El-Matbouli has included themes like Ecology and Kidney disease in his Brown trout study.
His study focuses on the intersection of Trout and fields such as Virus with connections in the field of Common carp and Carp.
Between 2017 and 2021, his most popular works were:
- Transcriptome Analysis Based on RNA-Seq in Understanding Pathogenic Mechanisms of Diseases and the Immune System of Fish: A Comprehensive Review (53 citations)
- Benefits of Dietary Butyric Acid, Sodium Butyrate, and Their Protected Forms in Aquafeeds: A Review (27 citations)
- The nature and consequences of co-infections in tilapia: A review. (26 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Immune system, Microbiology, Rainbow trout, Aquaculture and Tetracapsuloides bryosalmonae.
His Microbiology study incorporates themes from Mucus, Bacteria, Common carp, Carp and Ichthyophthirius multifiliis.
His biological study focuses on Myxobolus cerebralis.
His work deals with themes such as Parasite load, Myxosporea, Monoclonal antibody and Immunosuppression, which intersect with Myxobolus cerebralis.
His biological study spans a wide range of topics, including Zoology and cDNA library.
His work carried out in the field of Trout brings together such families of science as Myxozoa and Condition factor.
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.
