What is he best known for?
The fields of study Frank Porreca is best known for:
- Analgesic
- Central nervous system
- Opioid
Frank Porreca integrates many fields, such as Internal medicine, Psychiatry and Endocrinology, in his works.
Frank Porreca regularly links together related areas like Spinal cord in his Psychiatry studies.
Frank Porreca incorporates Spinal cord and Allodynia in his research.
He incorporates Endocrinology and Internal medicine in his research.
Within the field of Allodynia and Rostral ventromedial medulla he studies Hyperalgesia.
His research on Receptor frequently links to adjacent areas such as Noxious stimulus.
In his work, he performs multidisciplinary research in Noxious stimulus and Nociception.
He performs multidisciplinary study on Nociception and Rostral ventromedial medulla in his works.
His Anesthesia study typically links adjacent topics like Morphine.
His most cited work include:
- Chronic pain and medullary descending facilitation (871 citations)
- Central modulation of pain (802 citations)
- Potent and nontoxic antisense oligonucleotides containing locked nucleic acids (520 citations)
What are the main themes of his work throughout his whole career to date
His Receptor study frequently draws parallels with other fields, such as δ-opioid receptor.
He integrates several fields in his works, including Internal medicine and Endocrinology.
In his study, Frank Porreca carries out multidisciplinary Endocrinology and Internal medicine research.
His Opioid study frequently draws connections to other fields, such as (+)-Naloxone.
In his papers, he integrates diverse fields, such as Pharmacology and Neuroscience.
He performs multidisciplinary studies into Neuroscience and Pharmacology in his work.
His work on In vitro expands to the thematically related Biochemistry.
His In vitro study often links to related topics such as Biochemistry.
He merges Nociception with Morphine in his research.
Frank Porreca most often published in these fields:
- Receptor (86.70%)
- Internal medicine (62.53%)
- Opioid (53.44%)
What were the highlights of his more recent work (between 2018-2022)?
- Internal medicine (89.19%)
- Receptor (81.08%)
- Nociception (56.76%)
In recent works Frank Porreca was focusing on the following fields of study:
His work blends Internal medicine and Psychiatry studies together.
His Receptor study frequently draws connections to adjacent fields such as Agonist.
Frank Porreca integrates Agonist and Hyperalgesia in his research.
He incorporates Hyperalgesia and Nociceptor in his research.
He combines Nociceptor and Nociception in his research.
He performs integrative study on Nociception and Allodynia.
His Allodynia study frequently draws parallels with other fields, such as Receptor.
He regularly ties together related areas like Morphine in his Anesthesia studies.
Morphine is closely attributed to Anesthesia in his work.
Between 2018 and 2022, his most popular works were:
- Pathophysiology, prevention, and treatment of medication overuse headache (122 citations)
- Post-traumatic headache: epidemiology and pathophysiological insights (107 citations)
- Amygdala, neuropeptides, and chronic pain-related affective behaviors (67 citations)
In his most recent research, the most cited works focused on:
His Receptor study frequently draws connections between related disciplines such as Tyrosine kinase.
In his study, he carries out multidisciplinary Tyrosine kinase and Cytokine research.
Frank Porreca integrates many fields in his works, including Cytokine and Rheumatoid arthritis.
In his research, he undertakes multidisciplinary study on Rheumatoid arthritis and Tumor necrosis factor alpha.
Frank Porreca performs multidisciplinary studies into Tumor necrosis factor alpha and Proinflammatory cytokine in his work.
His research on Proinflammatory cytokine frequently links to adjacent areas such as Immunology.
His Immunology study frequently draws parallels with other fields, such as Sensitization.
While working on this project, Frank Porreca studies both Sensitization and Opioid.
He integrates Opioid with Nociceptin receptor in his 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.
