Abstract
BACKGROUND: Marine traditional Chinese medicine (MTCM) is a class of traditional medicine that has antitumor, anti-inflammatory, and antiviral properties. Bibliometric approaches were used in this study to conduct systematic research in order to gain a complete picture of MTCM research around the world. METHODS: CiteSpace and NoteExpress software were utilized as tools to examine the information about authors, sources, keywords, etc. Chinese publications were collected from the CNKI, VIP, and WANFANG databases; English publications were collected from the Web of Science database. RESULTS: A total of 10080 publications were screened, and the search volume of Chinese literature is greater than that of English literature; Nanjing University of Chinese Medicine, China, and Jeju National University, South Korea, published a greater number of articles than other institutions; the scholars Zhaohui-Zhang and Youjin-Jeon have published the highest number of articles in the world. MTCM of shells was often researched for inorganic elements, and data mining methods were applied frequently; MTCM of animals was commonly used for antifatigue and was taken authenticity identification owing to the scarcity of resources; scholars conducted the most research on MTCM of plants, this category usually for antitumor, anti-inflammatory, and antioxidant purposes, and the mechanisms of action were studied in depth. The Chinese literature has undertaken a multifaceted research study based on the theories of processing and the nature of TCM. In the English literature, in-depth studies have been done from the perspectives of the mechanism of action, the extraction and purification of active substances, etc. CONCLUSIONS: According to the analysis of keywords, different medicinal parts present their own special research directions, and different research hotspots have also emerged under different medical theories. The development of MTCM is moving in the direction of standardization and modernization, thanks to the development of cross-disciplinary research as well as the use of several new technologies and statistical techniques.