Endocrine and Autonomic Systems
About
351.7k papers covering Endocrine and Autonomic Systems have received a total of 12.1M indexed citations since 1950.
Papers on subfields are most often about the specific topic of Neuroscience of respiration and sleep, Circadian rhythm and melatonin and Regulation of Appetite and Obesity and also cover the fields of Physiology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. Papers citing papers on subfields are usually about Physiology, Molecular Biology and Cellular and Molecular Neuroscience. Some of the most active scholars covering Endocrine and Autonomic Systems are Russel J. Reíter, Joseph S. Takahashi, Joel K. Elmquist, Stephen R. Bloom and Kenji Kangawa.
In The Last Decade
Fields of papers citing papers about Endocrine and Autonomic Systems
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 citing the papers covering Endocrine and Autonomic Systems. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish papers about Endocrine and Autonomic Systems
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research in Endocrine and Autonomic Systems. 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 about Endocrine and Autonomic Systems 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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