Yan Dai

About

Yan Dai is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Yan Dai has authored 18 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Yan Dai’s work include Cancer-related molecular mechanisms research (3 papers), Glutathione Transferases and Polymorphisms (2 papers) and RNA regulation and disease (2 papers). Yan Dai is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Glutathione Transferases and Polymorphisms (2 papers) and RNA regulation and disease (2 papers). Yan Dai collaborates with scholars based in China, Japan and United States. Yan Dai's co-authors include Izumi Nakashima, Anwarul Azim Akhand, Haruhiko Suzuki, Xinjian Wan and Cheng‐Jie Mao and has published in prestigious journals such as Oncogene, British Journal of Pharmacology and Medicine.

In The Last Decade

Fields of papers citing papers by Yan 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 Yan Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yan Dai may publish in the future.

Countries citing papers authored by Yan Dai

Since Specialization

Citations

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

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