What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Enzyme
- Opioid
His primary areas of investigation include Anesthesia, Hyperalgesia, Pharmacology, Neuroscience and Opioid.
The study incorporates disciplines such as Receptor, Noxious stimulus and Cannabinoid receptor in addition to Pharmacology.
His research investigates the connection between Cannabinoid receptor and topics such as Cannabinoid that intersect with problems in Cannabinoid receptor type 2.
His Neuroscience research is multidisciplinary, incorporating perspectives in Analgesic and Nociceptor.
His research in Opioid intersects with topics in Opioid-induced hyperalgesia, Rostral ventromedial medulla and Nociception.
His Nociception research includes themes of Morphine, Endocrinology and Spinal cord.
His most cited work include:
- Activation of CB2 cannabinoid receptors by AM1241 inhibits experimental neuropathic pain: Pain inhibition by receptors not present in the CNS (435 citations)
- CB2 cannabinoid receptor activation produces antinociception by stimulating peripheral release of endogenous opioids. (424 citations)
- Unmasking the tonic-aversive state in neuropathic pain. (395 citations)
What are the main themes of his work throughout his whole career to date?
Todd W. Vanderah focuses on Pharmacology, Opioid, Nociception, Internal medicine and Agonist.
His Pharmacology study combines topics in areas such as Receptor, Antagonist and Hyperalgesia.
His research integrates issues of Analgesic and Cholecystokinin receptor in his study of Opioid.
As a member of one scientific family, Todd W. Vanderah mostly works in the field of Nociception, focusing on Dynorphin and, on occasion, Dynorphin A.
His study looks at the relationship between Internal medicine and topics such as Endocrinology, which overlap with Dorsal root ganglion.
His studies in Agonist integrate themes in fields like Cannabinoid and Stereochemistry.
He most often published in these fields:
- Pharmacology (47.52%)
- Opioid (30.99%)
- Nociception (22.31%)
What were the highlights of his more recent work (between 2014-2021)?
- Pharmacology (47.52%)
- Neuropathic pain (22.31%)
- Agonist (21.90%)
In recent papers he was focusing on the following fields of study:
Todd W. Vanderah spends much of his time researching Pharmacology, Neuropathic pain, Agonist, Chronic pain and Opioid.
His work carried out in the field of Pharmacology brings together such families of science as Receptor, Hyperalgesia, Antagonist, Nociception and Substance P.
His Neuropathic pain study is focused on Neuroscience in general.
His Agonist research includes elements of Analgesic, Cannabinoid and Stereochemistry.
His studies deal with areas such as Adenosine, Central nervous system, Endogenous opioid and Bioinformatics as well as Chronic pain.
Todd W. Vanderah combines subjects such as Morphine and Ventral tegmental area with his study of Opioid.
Between 2014 and 2021, his most popular works were:
- Endogenous adenosine A3 receptor activation selectively alleviates persistent pain states. (86 citations)
- Engagement of the GABA to KCC2 Signaling Pathway Contributes to the Analgesic Effects of A3AR Agonists in Neuropathic Pain (49 citations)
- A membrane-delimited N-myristoylated CRMP2 peptide aptamer inhibits CaV2.2 trafficking and reverses inflammatory and postoperative pain behaviors. (47 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Enzyme
- Pharmacology
Todd W. Vanderah mainly investigates Pharmacology, Neuropathic pain, Chronic pain, Nociception and Neuroscience.
Todd W. Vanderah is studying Analgesic, which is a component of Pharmacology.
His study focuses on the intersection of Analgesic and fields such as Agonist with connections in the field of Cannabinoid.
His Neuropathic pain research incorporates elements of Threshold of pain and Nerve injury.
Todd W. Vanderah has researched Nociception in several fields, including Sensory neuron and Dorsal root ganglion, Spinal cord.
His Neuroscience research includes elements of Synaptic plasticity, Schizophrenia and Autism.
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.
