What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Surgery
- Stroke
His primary areas of investigation include Internal medicine, Apolipoprotein E, Central nervous system, Anesthesia and Ischemia.
His biological study spans a wide range of topics, including Endocrinology and Oncology.
His study looks at the relationship between Apolipoprotein E and topics such as Central nervous system disease, which overlap with Pathology.
His Central nervous system study combines topics from a wide range of disciplines, such as Alzheimer's disease, Inflammation, Artery and valvular heart disease.
His Anesthesia research includes elements of Natriuretic peptide and Postoperative cognitive dysfunction.
His study looks at the intersection of Ischemia and topics like Cerebral blood flow with Intracranial pressure, Brain ischemia, Head injury, Cerebral edema and Closed head injury.
His most cited work include:
- Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury. (701 citations)
- Report of the Substudy Assessing the Impact of Neurocognitive Function on Quality of Life 5 Years After Cardiac Surgery (281 citations)
- APOE Genotype and an ApoE-mimetic Peptide Modify the Systemic and Central Nervous System Inflammatory Response * (279 citations)
What are the main themes of his work throughout his whole career to date?
Daniel T. Laskowitz mainly focuses on Internal medicine, Apolipoprotein E, Anesthesia, Stroke and Pathology.
His study looks at the relationship between Internal medicine and fields such as Cardiology, as well as how they intersect with chemical problems.
He has included themes like Inflammation, Immunology, Central nervous system and Neuroprotection, Pharmacology in his Apolipoprotein E study.
His study in Anesthesia is interdisciplinary in nature, drawing from both Closed head injury, Intracerebral hemorrhage and Clinical trial.
In his study, which falls under the umbrella issue of Intracerebral hemorrhage, Intensive care medicine is strongly linked to Neurology.
His Stroke research also works with subjects such as
- Bioinformatics that intertwine with fields like Disease,
- Ischemia together with Cerebral blood flow.
He most often published in these fields:
- Internal medicine (32.98%)
- Apolipoprotein E (23.86%)
- Anesthesia (24.56%)
What were the highlights of his more recent work (between 2018-2021)?
- Internal medicine (32.98%)
- Pharmacology (11.93%)
- Emergency medicine (4.56%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Internal medicine, Pharmacology, Emergency medicine, Prospective cohort study and Adverse effect.
His biological study deals with issues like Cardiology, which deal with fields such as Internal carotid artery.
His Pharmacology study integrates concerns from other disciplines, such as Receptor, Intracerebral hemorrhage, Pentapeptide repeat and Comorbidity.
His Prospective cohort study research integrates issues from Glasgow Coma Scale, Retrospective cohort study, Cohort study and Organ dysfunction.
His Adverse effect study incorporates themes from Pharmacokinetics, Dosing, Cognitive decline, Neurocognitive and Risk factor.
Apolipoprotein E is closely connected to Therapeutic effect in his research, which is encompassed under the umbrella topic of Disease.
Between 2018 and 2021, his most popular works were:
- Sex Differences in Gene and Protein Expression After Intracerebral Hemorrhage in Mice (9 citations)
- Therapeutic Development of Apolipoprotein E Mimetics for Acute Brain Injury: Augmenting Endogenous Responses to Reduce Secondary Injury. (5 citations)
- ApoE mimetic improves pathology and memory in a model of Alzheimer's disease. (5 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Surgery
- Stroke
His scientific interests lie mostly in Mortality rate, Mechanical ventilation, Guillain-Barre syndrome, Outbreak and Respiratory failure.
He has included themes like Antiganglioside antibodies and Pediatrics in his Mortality rate study.
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.
