What is she best known for?
The fields of study she is best known for:
- Enzyme
- Gene
- Internal medicine
Her primary areas of investigation include Adenosine receptor, Adenosine, Receptor, Internal medicine and Endocrinology.
Her Adenosine receptor research includes elements of Inflammation and Stereochemistry.
Her Adenosine research incorporates themes from Adenosine A3 receptor, Adenosine A2B receptor, Pharmacology and Radioligand.
Her studies in Receptor integrate themes in fields like Signal transduction, Cell growth and Binding site.
The study incorporates disciplines such as Downregulation and upregulation and Pathology in addition to Internal medicine.
Her research integrates issues of Huntington's disease and Vascular endothelial growth factor in her study of Endocrinology.
Her most cited work include:
- A glance at adenosine receptors: novel target for antitumor therapy (179 citations)
- The A3 adenosine receptor: an enigmatic player in cell biology. (175 citations)
- Pharmacology of Adenosine Receptors: The State of the Art (167 citations)
What are the main themes of her work throughout her whole career to date?
Her primary scientific interests are in Adenosine receptor, Receptor, Adenosine, Stereochemistry and Pharmacology.
Her Adenosine receptor research is included under the broader classification of Internal medicine.
Her Receptor research is classified as research in Biochemistry.
Katia Varani has researched Adenosine in several fields, including Cancer research, Inflammation, Signal transduction, Nucleoside and Adenosine A2B receptor.
Her Stereochemistry research is multidisciplinary, incorporating elements of Structure–activity relationship and Chemical synthesis.
Her Pharmacology study integrates concerns from other disciplines, such as Stimulation and Cannabinoid receptor, Cannabinoid receptor type 2.
She most often published in these fields:
- Adenosine receptor (55.41%)
- Receptor (42.62%)
- Adenosine (35.74%)
What were the highlights of her more recent work (between 2014-2021)?
- Adenosine receptor (55.41%)
- Pharmacology (22.95%)
- Adenosine (35.74%)
In recent papers she was focusing on the following fields of study:
Katia Varani mainly investigates Adenosine receptor, Pharmacology, Adenosine, Receptor and Stereochemistry.
Partial agonist is closely connected to G protein-coupled receptor in her research, which is encompassed under the umbrella topic of Adenosine receptor.
Her Pharmacology research incorporates elements of Adenosinergic, Adenosine A2B receptor and JWH-018, Cannabinoid receptor.
Katia Varani interconnects Adenosine A3 receptor, Inflammation, Downregulation and upregulation, Signal transduction and Nucleoside in the investigation of issues within Adenosine.
Her Receptor research entails a greater understanding of Internal medicine.
She has included themes like Inverse agonist and Structure–activity relationship in her Stereochemistry study.
Between 2014 and 2021, her most popular works were:
- Pharmacology of Adenosine Receptors: The State of the Art (167 citations)
- The A3 Adenosine Receptor: History and Perspectives (151 citations)
- Adenosine as a Multi-Signalling Guardian Angel in Human Diseases: When, Where and How Does it Exert its Protective Effects? (147 citations)
In her most recent research, the most cited papers focused on:
- Enzyme
- Gene
- Internal medicine
Pharmacology, Adenosine receptor, Receptor, Adenosine and Signal transduction are her primary areas of study.
Her study looks at the intersection of Pharmacology and topics like Inverse agonist with Neurochemical, Nucleus accumbens, Stereochemistry and Pyrimidine.
Her Adenosine receptor study combines topics from a wide range of disciplines, such as Cancer cell, Adenylyl cyclase and Protein kinase A.
Her biological study spans a wide range of topics, including Proinflammatory cytokine, Morphine and In vitro.
Her research integrates issues of Adenosine A3 receptor and Nucleoside in her study of Adenosine.
Her research investigates the connection between Signal transduction and topics such as Microglia that intersect with problems in TLR4, Opioid receptor and Neuroprotection.
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.
