Growth Hormone & IGF Research
About
The 1.5k papers published in Growth Hormone & IGF Research in the last decades have received a total of 28.2k indexed citations.
Papers published in Growth Hormone & IGF Research usually cover Endocrinology, Diabetes and Metabolism (1.2k papers), Molecular Biology (493 papers) and Genetics (284 papers) specifically the topics of Growth Hormone and Insulin-like Growth Factors (1.2k papers), Pituitary Gland Disorders and Treatments (244 papers) and Metabolism, Diabetes, and Cancer (210 papers). The most active scholars publishing in Growth Hormone & IGF Research are Jan Frystyk, Anders Juul, Cheryl A. Conover, Pamela U. Freda, Pinchas Cohen, John J. Kopchick, Zvi Laron, Lois E. H. Smith, Naoki Hattori and Michael J. Waters.
In The Last Decade
Fields of papers published in Growth Hormone & IGF Research
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 Growth Hormone & IGF Research. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Growth Hormone & IGF Research
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Growth Hormone & IGF Research. 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 Growth Hormone & IGF Research 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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