John Friend
About
John Friend is a scholar working on Physiology, Molecular Biology and Cancer Research.
According to data from OpenAlex, John Friend has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Physiology, 9 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in John Friend’s work include Nutrition and Health in Aging (15 papers), Adipose Tissue and Metabolism (11 papers) and Cancer, Hypoxia, and Metabolism (4 papers). John Friend is often cited by papers focused on Nutrition and Health in Aging (15 papers), Adipose Tissue and Metabolism (11 papers) and Cancer, Hypoxia, and Metabolism (4 papers). John Friend collaborates with scholars based in United States, United Kingdom and Australia. John Friend's co-authors include David C. Currow, Jennifer S. Temel, Ying Yan, Ying Yan and Amy Pickar Abernethy and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.
In The Last Decade
Fields of papers citing papers by John Friend
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 produced by John Friend. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where John Friend may publish in the future.
Countries citing papers authored by John Friend
Since SpecializationCitations
This map shows the geographic impact of John Friend's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Friend with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Friend more than expected).
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