Ken Gu

About

Ken Gu is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and General Health Professions. According to data from OpenAlex, Ken Gu has authored 11 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Epidemiology and 4 papers in General Health Professions. Recurrent topics in Ken Gu’s work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Chronic Disease Management Strategies (3 papers) and Diabetes Treatment and Management (2 papers). Ken Gu is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Chronic Disease Management Strategies (3 papers) and Diabetes Treatment and Management (2 papers). Ken Gu collaborates with scholars based in Singapore, Macao and United States. Ken Gu's co-authors include Derrick Heng, Thomas Wong, Catherine C. Cowie, Maureen I Harris and E Shyong Tai and has published in prestigious journals such as JAMA, Diabetes Care and BMC Public Health.

In The Last Decade

Fields of papers citing papers by Ken Gu

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

Countries citing papers authored by Ken Gu

Since Specialization

Citations

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

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