What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Biochemistry
- Animal science
His primary areas of study are Animal science, Internal medicine, Endocrinology, Beef cattle and Marbled meat.
His Animal science research is multidisciplinary, incorporating perspectives in Weight gain, Biochemistry and Hygiene.
His Weight gain research includes elements of Feed conversion ratio and Rumen.
Terry E. Engle usually deals with Internal medicine and limits it to topics linked to Fatty acid and Lipid metabolism, Lipogenesis, Lipoprotein lipase and Somatic cell.
His work carried out in the field of Beef cattle brings together such families of science as Meal and Estrous cycle.
His studies deal with areas such as Feedlot, Linoleic acid, Loin, Polyunsaturated fatty acid and Ractopamine as well as Marbled meat.
His most cited work include:
- Effects of dietary copper concentration and source on performance and copper status of growing and finishing steers. (136 citations)
- Influence of Free-Stall Base on Tarsal Joint Lesions and Hygiene in Dairy Cows (104 citations)
- Dietary copper effects on lipid metabolism, performance, and ruminal fermentation in finishing steers. (95 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Animal science, Beef cattle, Food science, Feedlot and Internal medicine.
His work deals with themes such as Feed conversion ratio and Zinc, which intersect with Animal science.
His study in Beef cattle is interdisciplinary in nature, drawing from both Meal, Ice calving, Reproduction, Weight gain and Forage.
In his study, which falls under the umbrella issue of Food science, Yield is strongly linked to Quality.
His biological study spans a wide range of topics, including Randomized block design, Implant, Trace mineral and Marbled meat.
His Internal medicine research includes themes of Endocrinology and Fatty acid.
He most often published in these fields:
- Animal science (59.78%)
- Beef cattle (22.83%)
- Food science (22.28%)
What were the highlights of his more recent work (between 2018-2021)?
- Animal science (59.78%)
- Beef cattle (22.83%)
- Food science (22.28%)
In recent papers he was focusing on the following fields of study:
Terry E. Engle mainly focuses on Animal science, Beef cattle, Food science, Feedlot and Copper.
His research integrates issues of Randomized block design and Zinc in his study of Animal science.
His Beef cattle study integrates concerns from other disciplines, such as Physical therapy, Scoring system and Forage.
In the field of Food science, his study on Rumen, Loin and Vacuum packing overlaps with subjects such as Amylase.
The concepts of his Feedlot study are interwoven with issues in Breed, Phosphorus, Soybean hulls and Crossbreed.
His Copper study combines topics in areas such as Molybdenum, Gene and Homeostasis, Cell biology.
Between 2018 and 2021, his most popular works were:
- Trace mineral source influences ruminal distribution of copper and zinc and their binding strength to ruminal digesta1,2,3. (9 citations)
- Prediction of water intake to Bos indicus beef cattle raised under tropical conditions1. (5 citations)
- Effects of a microencapsulated blend of essential oils supplemented alone or in combination with monensin on performance and carcass characteristics of growing and finishing beef steers (3 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Biochemistry
- Gene
Terry E. Engle mostly deals with Animal science, Rumen, Food science, Trace mineral and Beef cattle.
His Animal science study frequently draws connections to other fields, such as Feed conversion ratio.
His studies in Food science integrate themes in fields like Amplicon sequencing, 16S ribosomal RNA and Gene.
His work in Trace mineral covers topics such as Solubility which are related to areas like Zinc, Copper, Sulfate and Dry matter.
His research in Beef cattle intersects with topics in Water intake and Animal nutrition.
His Feedlot research incorporates elements of Crossbreed and Positive correlation.
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.
