Local and Regional Anesthesia
About
The 223 papers published in Local and Regional Anesthesia in the last decades have received a total of 2.9k indexed citations.
Papers published in Local and Regional Anesthesia usually cover Surgery (185 papers), Anesthesiology and Pain Medicine (62 papers) and Cardiology and Cardiovascular Medicine (58 papers) specifically the topics of Anesthesia and Pain Management (154 papers), Nausea and vomiting management (66 papers) and Cardiac, Anesthesia and Surgical Outcomes (56 papers). The most active scholars publishing in Local and Regional Anesthesia are Stefan De Hert, Ki Jinn Chin, Kariem El‐Boghdadly, Marc Snoeck, Amit Pawa, Jeff Gadsden, H. Jlala, Luiz Eduardo Imbelloni, Richard D. Urman and Stephen H. Halpern.
In The Last Decade
Fields of papers published in Local and Regional Anesthesia
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 Local and Regional Anesthesia. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Local and Regional Anesthesia
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Local and Regional Anesthesia. 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 Local and Regional Anesthesia 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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