What is he best known for?
The fields of study he is best known for:
- Disease
- Internal medicine
- Parkinson's disease
His primary areas of study are Neuroscience, Parkinson's disease, Central nervous system disease, Contrast and Audiology.
His Neuroscience research includes elements of Disease and Charles Bonnet syndrome.
His work in Disease addresses subjects such as Illusion, which are connected to disciplines such as Dementia.
Nico J. Diederich is interested in REM sleep behavior disorder, which is a branch of Parkinson's disease.
His research in Central nervous system disease intersects with topics in Deep brain stimulation, Internal globus pallidus, Anesthesia and Vocal tics.
His Contrast research includes elements of Snellen Fraction and Color vision, Farnsworth-Munsell 100 hue test.
His most cited work include:
- Sleep-related violence, injury, and REM sleep behavior disorder in Parkinson's disease (321 citations)
- Neurotransmitter changes in dementia with Lewy bodies and Parkinson disease dementia in vivo (229 citations)
- Repeated visual hallucinations in Parkinson's disease as disturbed external/internal perceptions: Focused review and a new integrative model (216 citations)
What are the main themes of his work throughout his whole career to date?
Parkinson's disease, Neuroscience, Disease, Internal medicine and Psychiatry are his primary areas of study.
His Parkinson's disease study combines topics from a wide range of disciplines, such as Central nervous system disease, Mitochondrion, Audiology and Amygdala.
The Central nervous system disease study combines topics in areas such as Levodopa and Contrast.
His study in Neuroscience is interdisciplinary in nature, drawing from both Translational research and Deep brain stimulation.
His Disease research integrates issues from Bioinformatics, Prospective cohort study, Cognition and Dopamine receptor, Dopamine.
His research integrates issues of Caregiver burden and Neurological disorder in his study of Psychiatry.
He most often published in these fields:
- Parkinson's disease (76.32%)
- Neuroscience (43.86%)
- Disease (42.11%)
What were the highlights of his more recent work (between 2013-2021)?
- Parkinson's disease (76.32%)
- Disease (42.11%)
- Neuroscience (43.86%)
In recent papers he was focusing on the following fields of study:
Nico J. Diederich focuses on Parkinson's disease, Disease, Neuroscience, Mitochondrion and Internal medicine.
His Parkinson's disease study necessitates a more in-depth grasp of Pathology.
His Disease research is multidisciplinary, incorporating elements of Biomarker, Prospective cohort study, Psychiatry and Cohort.
In general Neuroscience study, his work on Blindsight and Human brain often relates to the realm of Protein degradation and Research community, thereby connecting several areas of interest.
His work in the fields of Internal medicine, such as Stage and Dementia, intersects with other areas such as Impulse control disorder.
His work deals with themes such as Theory of mind, Facial expression, Perception and Audiology, which intersect with Amygdala.
Between 2013 and 2021, his most popular works were:
- Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map (145 citations)
- Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map (145 citations)
- Contributory Factors to Caregiver Burden in Parkinson Disease (48 citations)
In his most recent research, the most cited papers focused on:
- Disease
- Internal medicine
- Parkinson's disease
Nico J. Diederich mainly focuses on Parkinson's disease, Disease, Neuroscience, Amygdala and Theory of mind.
Nico J. Diederich interconnects Perception and Audiology in the investigation of issues within Parkinson's disease.
His Disease study frequently links to other fields, such as Psychiatry.
His studies deal with areas such as Developmental psychology, Emotion recognition, Visual impairment and Contrast as well as Amygdala.
His biological study spans a wide range of topics, including Visual perception, Blindsight, Facial expression and Visual system.
His Facial expression research is multidisciplinary, relying on both Substantia nigra, Panic, Anxiety and Hypomimia.
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.
