De Kang

About

De Kang is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, De Kang has authored 18 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 6 papers in Molecular Biology and 4 papers in Pharmacology. Recurrent topics in De Kang’s work include Computational Drug Discovery Methods (7 papers), Pharmacological Effects of Natural Compounds (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). De Kang is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Pharmacological Effects of Natural Compounds (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). De Kang collaborates with scholars based in China, India and United Kingdom. De Kang's co-authors include Guanhua Du, Ailin Liu, Lvjie Xu, Ying Zhao and Wenwen Lian and has published in prestigious journals such as Pharmacology & Therapeutics, Biochemical Pharmacology and Molecules.

In The Last Decade

Fields of papers citing papers by De Kang

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

Countries citing papers authored by De Kang

Since Specialization

Citations

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

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