Ronald G. Kay

About

Ronald G. Kay is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Ronald G. Kay has authored 22 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Ronald G. Kay’s work include Global Cancer Incidence and Screening (5 papers), Cancer Risks and Factors (4 papers) and Estrogen and related hormone effects (4 papers). Ronald G. Kay is often cited by papers focused on Global Cancer Incidence and Screening (5 papers), Cancer Risks and Factors (4 papers) and Estrogen and related hormone effects (4 papers). Ronald G. Kay collaborates with scholars based in New Zealand. Ronald G. Kay's co-authors include Barbara Mason, I. M. Holdaway, C Tasman-Jones, S.J.M. Skinner and B. Mason and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Cancer.

In The Last Decade

Fields of papers citing papers by Ronald G. Kay

Since Specialization

EngineeringComputer 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 Ronald G. Kay. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ronald G. Kay may publish in the future.

Countries citing papers authored by Ronald G. Kay

Since Specialization

Citations

This map shows the geographic impact of Ronald G. Kay'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 Ronald G. Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald G. Kay more than expected).

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