Kai Gao
About
Kai Gao is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry.
According to data from OpenAlex, Kai Gao has authored 54 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Biomedical Engineering and 11 papers in Materials Chemistry. Recurrent topics in Kai Gao’s work include Asymmetric Hydrogenation and Catalysis (9 papers), Combustion and Detonation Processes (7 papers) and Energetic Materials and Combustion (6 papers). Kai Gao is often cited by papers focused on Asymmetric Hydrogenation and Catalysis (9 papers), Combustion and Detonation Processes (7 papers) and Energetic Materials and Combustion (6 papers). Kai Gao collaborates with scholars based in China, United States and Singapore. Kai Gao's co-authors include Yong‐Gui Zhou, Chang‐Bin Yu, Xiali Liao and Xiao Huang and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and ACS Nano.
In The Last Decade
Fields of papers citing papers by Kai Gao
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 Kai Gao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai Gao may publish in the future.
Countries citing papers authored by Kai Gao
Since SpecializationCitations
This map shows the geographic impact of Kai Gao'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 Kai Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Gao more than expected).
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