Expert Opinion on Therapeutic Patents
About
The 2.5k papers published in Expert Opinion on Therapeutic Patents in the last decades have received a total of 51.5k indexed citations.
Papers published in Expert Opinion on Therapeutic Patents usually cover Molecular Biology (1.2k papers), Oncology (433 papers) and Organic Chemistry (328 papers) specifically the topics of Receptor Mechanisms and Signaling (137 papers), Cholinesterase and Neurodegenerative Diseases (105 papers) and Computational Drug Discovery Methods (97 papers). The most active scholars publishing in Expert Opinion on Therapeutic Patents are Claudiu T. Supuran, Andrea Scozzafava, Fabrizio Carta, Peter Norman, Peter Steele, Kamal M. Dawood, Graham S. Timmins, Clemente Capasso, Simone Carradori and Antonio Mastrolorenzo.
In The Last Decade
Fields of papers published in Expert Opinion on Therapeutic Patents
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in Expert Opinion on Therapeutic Patents. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Expert Opinion on Therapeutic Patents
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Expert Opinion on Therapeutic Patents. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Expert Opinion on Therapeutic Patents with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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