Lu Dai

About

Lu Dai is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Lu Dai has authored 25 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Biomedical Engineering and 6 papers in Plant Science. Recurrent topics in Lu Dai’s work include Biofuel production and bioconversion (5 papers), Metabolic Engineering and Synthetic Biology (5 papers) and Enzyme Immobilization Techniques (4 papers). Lu Dai is often cited by papers focused on Biofuel production and bioconversion (5 papers), Metabolic Engineering and Synthetic Biology (5 papers) and Enzyme Immobilization Techniques (4 papers). Lu Dai collaborates with scholars based in China, Israel and Czechia. Lu Dai's co-authors include Yaling Shen, Tianli Yue, Yahong Yuan, Fei Tao and Yuhan Peng and has published in prestigious journals such as PLoS ONE, Bioresource Technology and Journal of Materials Chemistry A.

In The Last Decade

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

Countries citing papers authored by Lu Dai

Since Specialization

Citations

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

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