Bing Dai

13 papers and 472 indexed citations i.

About

Bing Dai is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Bing Dai has authored 13 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Bing Dai’s work include Autophagy in Disease and Therapy (2 papers), Acute Myeloid Leukemia Research (2 papers) and Gut microbiota and health (2 papers). Bing Dai is often cited by papers focused on Autophagy in Disease and Therapy (2 papers), Acute Myeloid Leukemia Research (2 papers) and Gut microbiota and health (2 papers). Bing Dai collaborates with scholars based in China, United States and United Kingdom. Bing Dai's co-authors include Wuping Li, Hang Wu, Yongqing Hou, Xiao Xu and Huiling Zhu and has published in prestigious journals such as The EMBO Journal, Scientific Reports and International Journal of Molecular Sciences.

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).

Rankless by CCL
2025