Dan Gu
About
Dan Gu is a scholar working on Materials Chemistry, Biomedical Engineering and Molecular Biology.
According to data from OpenAlex, Dan Gu has authored 7 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 3 papers in Biomedical Engineering and 2 papers in Molecular Biology. Recurrent topics in Dan Gu’s work include Carbon and Quantum Dots Applications (4 papers), Nanocluster Synthesis and Applications (3 papers) and Surface Modification and Superhydrophobicity (2 papers). Dan Gu is often cited by papers focused on Carbon and Quantum Dots Applications (4 papers), Nanocluster Synthesis and Applications (3 papers) and Surface Modification and Superhydrophobicity (2 papers). Dan Gu collaborates with scholars based in China. Dan Gu's co-authors include Shaoming Shang, Lei Zhang, Yuming Dong, Yu Qin and Guang Wang and has published in prestigious journals such as Applied Surface Science, Materials Chemistry and Physics and Synthetic Metals.
In The Last Decade
Fields of papers citing papers by Dan Gu
Since SpecializationEngineeringComputer 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 Dan Gu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dan Gu may publish in the future.
Countries citing papers authored by Dan Gu
Since SpecializationCitations
This map shows the geographic impact of Dan Gu'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 Dan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Gu more than expected).
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