What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Cancer
His primary areas of investigation include Osteoporosis, Bone density, Internal medicine, Femoral neck and Bone mineral.
John A. Eisman has researched Osteoporosis in several fields, including Physical therapy, Surgery, Epidemiology and Risk factor.
John A. Eisman usually deals with Bone density and limits it to topics linked to Genetics and Bioinformatics.
His study on Internal medicine also encompasses disciplines like
-
Endocrinology together with Calcium,
-
Placebo which is related to area like Odanacatib.
He combines subjects such as Physical fitness, Absolute risk reduction, Lumbar, Physical exercise and Physiology with his study of Femoral neck.
His research on Bone mineral also deals with topics like
-
Femur that connect with fields like Urology,
-
Twin study which is related to area like Skeleton.
His most cited work include:
- Prediction of Bone-Density from Vitamin-D Receptor Alleles (1708 citations)
- Mortality after all major types of osteoporotic fracture in men and women: an observational study (1534 citations)
- Genetic determinants of bone mass in adults. A twin study. (1135 citations)
What are the main themes of his work throughout his whole career to date?
John A. Eisman spends much of his time researching Osteoporosis, Internal medicine, Endocrinology, Bone density and Bone mineral.
His studies in Osteoporosis integrate themes in fields like Physical therapy, Surgery, Epidemiology and Risk factor.
His Endocrinology research focuses on subjects like Receptor, which are linked to Cell culture.
He interconnects Body mass index, Genetics, Genome-wide association study, Prospective cohort study and Risk assessment in the investigation of issues within Bone density.
His research in Bone mineral intersects with topics in Dentistry, Urology, Odanacatib, Hazard ratio and Bone disease.
The various areas that John A. Eisman examines in his Femoral neck study include Incidence and Physiology.
He most often published in these fields:
- Osteoporosis (72.03%)
- Internal medicine (65.65%)
- Endocrinology (39.13%)
What were the highlights of his more recent work (between 2013-2021)?
- Osteoporosis (72.03%)
- Internal medicine (65.65%)
- Bone density (34.49%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Osteoporosis, Internal medicine, Bone density, Surgery and Bone mineral.
His work deals with themes such as Prospective cohort study, Epidemiology and Hazard ratio, which intersect with Osteoporosis.
The study incorporates disciplines such as Orthopedic surgery and Endocrinology in addition to Internal medicine.
His work on Bone resorption as part of general Endocrinology research is frequently linked to Context, thereby connecting diverse disciplines of science.
His biological study spans a wide range of topics, including Genetics, Genome-wide association study and Locus.
His Surgery research includes elements of Receiver operating characteristic and FRAX.
Between 2013 and 2021, his most popular works were:
- Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture. (286 citations)
- Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture. (286 citations)
- Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture. (286 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Cancer
The scientist’s investigation covers issues in Internal medicine, Osteoporosis, Bone density, Surgery and Hip fracture.
John A. Eisman studied Internal medicine and Endocrinology that intersect with SNP.
His specific area of interest is Osteoporosis, where he studies Bone mineral.
His Bone density study incorporates themes from Genetics, Genome-wide association study, Anatomy, Dual-energy X-ray absorptiometry and Locus.
His Surgery research integrates issues from Osteogenesis imperfecta, Urology, Cathepsin K and FRAX.
His work in Hip fracture covers topics such as Body mass index which are related to areas like Weight loss and University hospital.
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.
