What is he best known for?
The fields of study he is best known for:
- Dopamine
- Neurotransmitter
- Organic chemistry
His scientific interests lie mostly in Pharmacology, Internal medicine, Endocrinology, Neuroscience and Receptor.
His studies in Pharmacology integrate themes in fields like Antagonist, Receptor antagonist, Lisuride, Bifeprunox and Citalopram.
His study involves Agonist, Serotonin, Dopamine, 5-HT receptor and Serotonergic, a branch of Internal medicine.
His research in Agonist focuses on subjects like Agomelatine, which are connected to 5-HT2C receptor.
His Endocrinology research is multidisciplinary, relying on both Flesinoxan, Inverse agonist and WAY-100,635.
His work deals with themes such as Schizophrenia and Monoaminergic, which intersect with Neuroscience.
His most cited work include:
- Descending control of pain. (2311 citations)
- The induction of pain: an integrative review (1495 citations)
- The neurobiology and control of anxious states (817 citations)
What are the main themes of his work throughout his whole career to date?
Mark J. Millan focuses on Pharmacology, Endocrinology, Internal medicine, Receptor and Stereochemistry.
His Pharmacology research includes elements of Agonist, Antagonist, Partial agonist, 5-HT receptor and Antidepressant.
Mark J. Millan has included themes like Receptor antagonist and Serotonergic, Serotonin in his Endocrinology study.
Apomorphine, Circadian rhythm, Neurotransmitter, Raclopride and Anxiolytic are subfields of Internal medicine in which his conducts study.
His Receptor study typically links adjacent topics like Neuroscience.
His work is dedicated to discovering how Stereochemistry, Alkyl are connected with Ring and Diastereomer and other disciplines.
He most often published in these fields:
- Pharmacology (28.09%)
- Endocrinology (25.15%)
- Internal medicine (25.15%)
What were the highlights of his more recent work (between 2010-2021)?
- Neuroscience (12.97%)
- Internal medicine (25.15%)
- Endocrinology (25.15%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Neuroscience, Internal medicine, Endocrinology, Pharmacology and Receptor.
The study incorporates disciplines such as Glutamate receptor and Glutamatergic in addition to Neuroscience.
He works mostly in the field of Endocrinology, limiting it down to topics relating to 5-HT receptor and, in certain cases, Agomelatine, as a part of the same area of interest.
His work carried out in the field of Pharmacology brings together such families of science as Antidepressant, Agonist, Dizocilpine, Antagonist and Serotonergic.
His Agonist research integrates issues from Melatonergic and Reuptake.
His Receptor research incorporates themes from Schizophrenia and Signal transduction, Cell biology.
Between 2010 and 2021, his most popular works were:
- Cognitive dysfunction in psychiatric disorders: characteristics, causes and the quest for improved therapy (673 citations)
- Altering the course of schizophrenia: progress and perspectives (238 citations)
- Negative Symptoms of Schizophrenia: Clinical Characteristics, Pathophysiological Substrates, Experimental Models and Prospects for Improved Treatment (181 citations)
In his most recent research, the most cited papers focused on:
- Dopamine
- Organic chemistry
- Neurotransmitter
Mark J. Millan mostly deals with Neuroscience, Receptor, Psychiatry, Dopamine and Dopamine receptor D3.
His Prefrontal cortex study, which is part of a larger body of work in Neuroscience, is frequently linked to Piwi-interacting RNA, bridging the gap between disciplines.
His Receptor study combines topics from a wide range of disciplines, such as Endocrinology and Cell biology.
His Endocrinology study combines topics in areas such as Protein kinase B and Nicotine.
Mark J. Millan interconnects Pramipexole, Blockade and Ropinirole in the investigation of issues within Dopamine receptor D3.
His work on Antagonist, Serotonin, Mecamylamine and Nicotinic agonist as part of general Internal medicine study is frequently linked to Methyllycaconitine, bridging the gap between disciplines.
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.
