Huanzi Dai
About
Huanzi Dai is a scholar working on Molecular Biology, Nephrology and Epidemiology.
According to data from OpenAlex, Huanzi Dai has authored 24 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Nephrology and 4 papers in Epidemiology. Recurrent topics in Huanzi Dai’s work include Renal and related cancers (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). Huanzi Dai is often cited by papers focused on Renal and related cancers (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). Huanzi Dai collaborates with scholars based in China. Huanzi Dai's co-authors include Yani He, Qiao‐Nan Guo, Gang Meng, Li-Rong Lin and Yangfan Lv and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Kidney International.
In The Last Decade
Fields of papers citing papers by Huanzi Dai
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 Huanzi Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Huanzi Dai may publish in the future.
Countries citing papers authored by Huanzi Dai
Since SpecializationCitations
This map shows the geographic impact of Huanzi Dai'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 Huanzi Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huanzi Dai more than expected).
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