Lu Ga

About

Lu Ga is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Lu Ga has authored 51 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 28 papers in Molecular Biology and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Lu Ga’s work include Advanced biosensing and bioanalysis techniques (23 papers), Nanocluster Synthesis and Applications (18 papers) and Advanced Nanomaterials in Catalysis (17 papers). Lu Ga is often cited by papers focused on Advanced biosensing and bioanalysis techniques (23 papers), Nanocluster Synthesis and Applications (18 papers) and Advanced Nanomaterials in Catalysis (17 papers). Lu Ga collaborates with scholars based in China, Mongolia and Egypt. Lu Ga's co-authors include Jun Ai, Jun Ai, Yong Tan and Jinhui Wang and has published in prestigious journals such as Chemical Engineering Journal, Molecules and Biosensors and Bioelectronics.

In The Last Decade

Fields of papers citing papers by Lu Ga

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

Countries citing papers authored by Lu Ga

Since Specialization

Citations

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

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