Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence

Abstract

About

This paper, published in 1950, received 300 indexed citations. Written by Shian‐Ren Lin, Che‐Fang Hsu, Henrich Cheng, Max K. Leong, Ping‐Jyun Sung, Jian‐Chyi Chen and Ching‐Feng Weng covering the research area of Oncology, Molecular Biology and Pharmacology. It is primarily cited by scholars working on Molecular Biology (151 citations), Plant Science (48 citations) and Pharmacology (48 citations). Published in British Journal of Pharmacology.

In The Last Decade

doi.org/10.1111/bph.14816 →

Countries where authors are citing Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence

Since Specialization

Citations

This map shows the geographic impact of Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence. 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 Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence more than expected).

Fields of papers citing Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1111/bph.14816.

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