What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Diabetes mellitus
- Pathology
Geert Opsomer spends much of his time researching Internal medicine, Endocrinology, Animal science, Lactation and Dairy cattle.
His studies deal with areas such as Oocyte and Postpartum period as well as Internal medicine.
As a part of the same scientific study, Geert Opsomer usually deals with the Oocyte, concentrating on Andrology and frequently concerns with Human fertilization, Embryo quality, Embryo and Ovarian dysfunction.
In his study, he carries out multidisciplinary Endocrinology and Propidium iodide research.
His study focuses on the intersection of Animal science and fields such as Somatic cell count with connections in the field of Veterinary medicine and Herd.
His research investigates the link between Dairy cattle and topics such as Ovulation that cross with problems in Corpus luteum and Follicular phase.
His most cited work include:
- Non-esterified fatty acids in follicular fluid of dairy cows and their effect on developmental capacity of bovine oocytes in vitro. (331 citations)
- An Analysis of Ovarian Dysfunction in High Yielding Dairy Cows After Calving Based on Progesterone Profiles (193 citations)
- Insulin resistance in dairy cows. (182 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Animal science, Internal medicine, Endocrinology, Lactation and Veterinary medicine.
His research in Animal science intersects with topics in Ice calving and High yielding.
His work deals with themes such as Andrology and Fatty acid, which intersect with Internal medicine.
His Endocrinology research integrates issues from Follicular fluid and Ovulation.
Geert Opsomer studies Somatic cell count, a branch of Lactation.
The various areas that he examines in his Somatic cell count study include Mastitis and Udder.
He most often published in these fields:
- Animal science (27.70%)
- Internal medicine (22.16%)
- Endocrinology (20.78%)
What were the highlights of his more recent work (between 2015-2021)?
- Animal science (27.70%)
- Lactation (13.85%)
- Ice calving (11.91%)
In recent papers he was focusing on the following fields of study:
His main research concerns Animal science, Lactation, Ice calving, Herd and Endometritis.
His Animal science study combines topics from a wide range of disciplines, such as Quantitative trait locus and Metabolism.
His Lactation research includes themes of Insulin and Insulin resistance.
His Ice calving research focuses on subjects like Gestation, which are linked to Endocrinology, Internal medicine, Umbilical Cord Length and Uterine horns.
He regularly links together related areas like Bolus in his Endocrinology studies.
Geert Opsomer has researched Dairy cattle in several fields, including Fetus, Fertility and Lameness.
Between 2015 and 2021, his most popular works were:
- Effect of Antimicrobial Consumption and Production Type on Antibacterial Resistance in the Bovine Respiratory and Digestive Tract. (42 citations)
- Reproductive management in dairy cows - the future. (28 citations)
- Influence of adipocyte size and adipose depot on the in vitro lipolytic activity and insulin sensitivity of adipose tissue in dairy cows at the end of the dry period (28 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Pathology
- Diabetes mellitus
His primary areas of study are Animal science, Endocrinology, Internal medicine, Insulin resistance and Lactation.
His Animal science research focuses on Herd in particular.
His biological study deals with issues like Animal breeding, which deal with fields such as Dairy cattle.
His study in Insulin resistance is interdisciplinary in nature, drawing from both Adipose tissue, Adipocyte and Dry matter.
His study explores the link between Lactation and topics such as Gestation that cross with problems in Holstein Friesian cattle, Season of birth, Offspring, Belgian Blue and Breed.
His Insulin research also works with subjects such as
- Carbohydrate metabolism which connect with NEFA and Area under the curve,
- Fatty acid metabolism that connect with fields like Blood sampling.
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