Evolving importance of anticancer research using herbal medicine: a scientometric analysis
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- 作者：Tapasree Basu ; Ajoy Mallik ; Nripendranath Mandal
- 关键词：Cancer ; Medicinal plants ; Research trends ; Bibliometric analysis ; Phytochemicals
- 刊名：Scientometrics
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：110
- 期：3
- 页码：1375-1396
- 全文大小：
- 刊物主题：Information Storage and Retrieval; Library Science;
- 出版者：Springer Netherlands
- ISSN：1588-2861
- 卷排序：110
文摘
Phytocompounds and herbal extracts have been utilized in Ayurveda, Siddha and Unani medicine since thousands of years for treatment of various ailments. Success behind herbal medicine strongly suggests the interaction between bio-active phytocompounds with crucial biochemical pathways in a human body without causing adverse effects. The increasing incidence of diseases like cancer instigated the scientific world to focus intently on their pathophysiology and prevention, leading to accelerated research activity in past three decades. This study aims at understanding the evolving global importance of herbal medicine and quality of research against various cancers through scientometric analyses by studying the output from research publications, followed by the contribution from various countries, research institutes, authors, scientific journals and areas of research. To visualize the research structure and dynamics, more than 5000 publications with Science Citation Index that appeared from 1984 to 2013 have been studied and compared for a trend in its growth of publication along with the contributions from various bibliometric parameters stated above. After using the ‘Web of Science’ database it became well evident that the concerned bibliometric parameters contributed substantially in projecting the overall scientific output in the field of herbal anticancer research as reflected from the citation analysis and h-index data. It has been observed that the number of publications increased with compound annual growth rate of 10.39% during the studied periods. Evolving trend of the research topics was visualised by drawing the keyword co-occurrence map in this field.