What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Biochemistry, Transporter, Serotonin transporter, Serotonin and Norepinephrine transporter.
His Biochemistry research includes themes of Cell culture and Cell biology.
His studies deal with areas such as Neurotransmitter, Biophysics, Transfection, 5-HT receptor and Molecular biology as well as Transporter.
His research integrates issues of Raphe nuclei, Neuroscience and Transmembrane domain in his study of Serotonin transporter.
His Serotonin research incorporates themes from Endocrinology and Binding site.
He focuses mostly in the field of Norepinephrine transporter, narrowing it down to matters related to Dopamine transporter and, in some cases, Patch clamp and Nomifensine.
His most cited work include:
- Expression cloning of a cocaine- and antidepressant-sensitive human noradrenaline transporter. (862 citations)
- Expression cloning of a cocaine- and antidepressant-sensitive human noradrenaline transporter. (862 citations)
- Antidepressant- and cocaine-sensitive human serotonin transporter: molecular cloning, expression, and chromosomal localization. (799 citations)
What are the main themes of his work throughout his whole career to date?
Randy D. Blakely spends much of his time researching Transporter, Biochemistry, Serotonin transporter, Internal medicine and Endocrinology.
His work deals with themes such as Dopamine, Neurotransmitter, Reuptake and Cell biology, which intersect with Transporter.
The study incorporates disciplines such as Molecular biology and Biophysics in addition to Biochemistry.
His Serotonin transporter study combines topics in areas such as Antidepressant and 5-HT receptor.
His Norepinephrine transporter research includes elements of Transfection and Norepinephrine.
His research on Serotonin frequently links to adjacent areas such as Pharmacology.
He most often published in these fields:
- Transporter (30.40%)
- Biochemistry (26.38%)
- Serotonin transporter (24.87%)
What were the highlights of his more recent work (between 2013-2021)?
- Neuroscience (23.37%)
- Serotonin (23.62%)
- Serotonin transporter (24.87%)
In recent papers he was focusing on the following fields of study:
Randy D. Blakely mostly deals with Neuroscience, Serotonin, Serotonin transporter, Internal medicine and Endocrinology.
His Neuroscience study typically links adjacent topics like Transporter.
To a larger extent, Randy D. Blakely studies Biochemistry with the aim of understanding Transporter.
His Serotonin research integrates issues from Knockout mouse, Pharmacology and Conditioned place preference.
The concepts of his Serotonin transporter study are interwoven with issues in Homeostasis, Vortioxetine, Dorsal raphe nucleus and Amygdala.
Randy D. Blakely has included themes like Orbitofrontal cortex and Neurotransmission in his Endocrinology study.
Between 2013 and 2021, his most popular works were:
- Clustering autism: using neuroanatomical differences in 26 mouse models to gain insight into the heterogeneity (173 citations)
- The SLC6 transporters: perspectives on structure, functions, regulation, and models for transporter dysfunction. (88 citations)
- SLC6A3 coding variant Ala559Val found in two autism probands alters dopamine transporter function and trafficking. (64 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Neuroscience, Dopamine, Transporter, Dopamine transporter and Serotonin.
He focuses mostly in the field of Neuroscience, narrowing it down to topics relating to Receptor and, in certain cases, Monocyte, Sickness behavior, Microglia and Depolarization.
His Transporter research is within the category of Biochemistry.
Randy D. Blakely interconnects Endocrinology and Glutamatergic in the investigation of issues within Serotonin.
His Endocrinology study incorporates themes from Agonist and Gastrointestinal tract.
His Serotonin transporter research is multidisciplinary, relying on both Phenotype, Serotonergic, Sensory system and Immunology.
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.
