Ke Fu
About
Ke Fu is a scholar working on Molecular Biology, Epidemiology and Complementary and alternative medicine.
According to data from OpenAlex, Ke Fu has authored 39 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Epidemiology and 11 papers in Complementary and alternative medicine. Recurrent topics in Ke Fu’s work include Liver Disease Diagnosis and Treatment (13 papers), Liver physiology and pathology (7 papers) and Traditional Chinese Medicine Analysis (6 papers). Ke Fu is often cited by papers focused on Liver Disease Diagnosis and Treatment (13 papers), Liver physiology and pathology (7 papers) and Traditional Chinese Medicine Analysis (6 papers). Ke Fu collaborates with scholars based in China. Ke Fu's co-authors include Cheng Ma, Lihong Gong, Honglin Zhou, Yafang Zhang, Yunxia Li, Yunxia Li, Yuqin Guo, Cheng Wang, Cheng Wang and Zhang Wang and has published in prestigious journals such as Frontiers in Immunology, Molecules and Journal of Ethnopharmacology.
In The Last Decade
Co-authorship network of co-authors of Ke Fu i
Fields of papers citing papers by Ke Fu
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 Ke Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ke Fu may publish in the future.
Countries citing papers authored by Ke Fu
Since SpecializationCitations
This map shows the geographic impact of Ke Fu'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 Ke Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Fu more than expected).
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