Liang Dai

About

Liang Dai is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Liang Dai has authored 46 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Liang Dai’s work include Cancer-related gene regulation (5 papers), interferon and immune responses (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Liang Dai is often cited by papers focused on Cancer-related gene regulation (5 papers), interferon and immune responses (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Liang Dai collaborates with scholars based in China, Singapore and Hong Kong. Liang Dai's co-authors include Haoliang Yuan, Qing‐Long Xu, Xiaoan Wen, Hongbin Sun and Wanpu Yan and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Biochemical Journal.

In The Last Decade

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

Countries citing papers authored by Liang Dai

Since Specialization

Citations

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

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