What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cancer
- Statistics
His scientific interests lie mostly in Internal medicine, Pathology, Multiple sclerosis, Central nervous system disease and Cancer.
Paul S. Albert interconnects Gastroenterology and Endocrinology in the investigation of issues within Internal medicine.
The concepts of his Gastroenterology study are interwoven with issues in Adverse effect and Glioma.
Paul S. Albert has researched Multiple sclerosis in several fields, including Enhancing Lesion, Lesion, Magnetic resonance imaging and Nuclear medicine.
The Central nervous system disease study combines topics in areas such as Pathophysiology and Epilepsy.
His work on Prostate cancer and Prostate as part of general Cancer research is often related to Bladder tumor, thus linking different fields of science.
His most cited work include:
- Models for longitudinal data: a generalized estimating equation approach. (3574 citations)
- Phase II Trial of Single-Agent Bevacizumab Followed by Bevacizumab Plus Irinotecan at Tumor Progression in Recurrent Glioblastoma (1220 citations)
- Guidelines for the use of magnetic resonance techniques in monitoring the treatment of multiple sclerosis (415 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Internal medicine, Statistics, Obstetrics, Econometrics and Pregnancy.
His research investigates the connection between Internal medicine and topics such as Oncology that intersect with issues in Cancer.
His Statistics study incorporates themes from Pooling and Random effects model.
His Obstetrics study integrates concerns from other disciplines, such as Body mass index, Gestational age, Fetus, Pediatrics and Cohort.
His Pregnancy research incorporates themes from Prospective cohort study and Cohort study.
His research investigates the connection with Polyp Prevention Trial and areas like Adenoma which intersect with concerns in Colorectal cancer.
He most often published in these fields:
- Internal medicine (21.03%)
- Statistics (18.83%)
- Obstetrics (12.71%)
What were the highlights of his more recent work (between 2015-2021)?
- Obstetrics (12.71%)
- Pregnancy (11.49%)
- Statistics (18.83%)
In recent papers he was focusing on the following fields of study:
Paul S. Albert mostly deals with Obstetrics, Pregnancy, Statistics, Gestational age and Gestation.
The various areas that he examines in his Obstetrics study include Body mass index, Fetal growth, Fetus, Ultrasound and Cohort.
Cohort is a subfield of Internal medicine that Paul S. Albert explores.
His Pregnancy research is multidisciplinary, incorporating perspectives in Longitudinal study, Prospective cohort study and Weight gain.
His Statistics study combines topics in areas such as Group testing and Pooling.
His research in Gestational age intersects with topics in Gynecology and Pediatrics.
Between 2015 and 2021, his most popular works were:
- q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data. (65 citations)
- Cohort Profile: NICHD Fetal Growth Studies-Singletons and Twins. (52 citations)
- A longitudinal study of depression and gestational diabetes in pregnancy and the postpartum period. (48 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Cancer
His main research concerns Pregnancy, Obstetrics, Gestational age, Gestational diabetes and Gestation.
Paul S. Albert has included themes like Prospective cohort study, Internal medicine, Endocrinology and Physiology in his Pregnancy study.
His work in Internal medicine addresses subjects such as Oncology, which are connected to disciplines such as Incidence, Cancer, Cancer Etiology and Prostate cancer.
His Obstetrics research is multidisciplinary, incorporating perspectives in Body mass index, Gynecology, Gestational hypertension, Fetus and Cohort.
His Gestational age study integrates concerns from other disciplines, such as Pediatrics, Cohort study and Ultrasound.
His Gestational diabetes research incorporates themes from Longitudinal study, Diabetes mellitus, Postpartum period, Confidence interval and Glucose homeostasis.
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