Bing Dai

About

Bing Dai is a scholar working on Nephrology, Genetics and Molecular Biology. According to data from OpenAlex, Bing Dai has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nephrology, 12 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Bing Dai’s work include Genetic and Kidney Cyst Diseases (11 papers), Renal Diseases and Glomerulopathies (5 papers) and Genetic Syndromes and Imprinting (4 papers). Bing Dai is often cited by papers focused on Genetic and Kidney Cyst Diseases (11 papers), Renal Diseases and Glomerulopathies (5 papers) and Genetic Syndromes and Imprinting (4 papers). Bing Dai collaborates with scholars based in China, Switzerland and United States. Bing Dai's co-authors include Changlin Mei, Yawei Liu, Chenggang Xu, Lili Fu and Cheng Xue and has published in prestigious journals such as PLoS ONE, Kidney International and American Journal of Kidney Diseases.

In The Last Decade

Fields of papers citing papers by Bing Dai

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

Countries citing papers authored by Bing Dai

Since Specialization

Citations

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

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