Veterinary Anaesthesia and Analgesia
About
The 1.9k papers published in Veterinary Anaesthesia and Analgesia in the last decades have received a total of 26.1k indexed citations.
Papers published in Veterinary Anaesthesia and Analgesia usually cover Small Animals (1.5k papers), Surgery (852 papers) and Anesthesiology and Pain Medicine (612 papers) specifically the topics of Veterinary Pharmacology and Anesthesia (1.4k papers), Anesthesia and Pain Management (695 papers) and Anesthesia and Sedative Agents (538 papers). The most active scholars publishing in Veterinary Anaesthesia and Analgesia are Polly Taylor, Robin D. Gleed, Elizabeth A Leece, Regula Bettschart‐Wolfensberger and Marja Raekallio.
In The Last Decade
Fields of papers published in Veterinary Anaesthesia and Analgesia
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 Veterinary Anaesthesia and Analgesia. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Veterinary Anaesthesia and Analgesia
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Veterinary Anaesthesia and Analgesia. 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 Veterinary Anaesthesia and Analgesia 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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