Objective: To explore the current research hotspots of traditional Chinese medicine and natural medicine in China and provide a comprehensive and intuitive perspective for scholars to understand theresearch status in this field. Methods: To retrieve the academic papers related to traditional Chinese medicine and natural medicine published by Chinese scholars in the core collection of Web of Science. Co-occurrence analysis, cluster analysis and emergent detection were carried out for the keywords in the literature, cocitation analysis and emergent detection were carried out for the cited literature, and visualization was carried out in the form of network knowledge graph. Results: A total of 18689 pieces of literature were eventually screened. “Chemistry”, “Pharmacology & Pharmacy”, “Integrative & Complementary Medicine” and “Biochemistry & Molecular Biology” have high frequency and intermediate centrality in the discipline co-occurrence network; “Expression”, “Apoptosis”, “Activation”, “Cell” “Mechanism”, “Identification” and “Oxidative Stress” show higher co-occurrence frequency and mediating centrality in the keyword co-occurrence network; “Expression”, “Oxidative Stress”, “Identification”, “Mechanism” “Apoptosis”, “Traditional Chinese Medicine”, “Cell” and “Mass Spectrometry” form main keyword clusters; “Cancer Cell”, “Root” “Performance Liquid Chromatography”, “In Vivo”, “Plasma”and“Inhibitor” were the keywords with the strongest citation bursts; Co-cited literature was mainly distributed in such research topics as “Panax Species”, “Network Pharmacology” “Chloroplast Genome", “Quality Control”, “Apoptosis” “Metabolomics”, “Chronic Kidney Disease”, “Molecular Docking” “Biosynthesis”“Proteomics”, “Chemical Profiling” and “Lung Cancer”. Conclusion: Genetic expression, identification, reaction mechanism, oxidative stress, apoptosis and mass spectrometry analysis are the hot research objects. Traditional Chinese medicine network pharmacology, biological genetics and gene sequencing, lung cancer diagnosis and treatment, the application of computer and big data in the field of Traditional Chinese medicine pharmacology and molecular diagnosis mechanism, function mechanism of natural products in cancer treatment, traditional Chinese medicine’s characteristics related to drug targets in the system level of heart cerebrovascular disease, and the role of compatibility of medicine in traditional Chinese medicine might become frontier academic problems.
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