Hunan Academy of Traditional Chinese Medicine

686 papers and 7.7k indexed citations i.

About

In recent decades, authors affiliated with Hunan Academy of Traditional Chinese Medicine have published 686 papers, which have received a total of 7.7k indexed citations. Scholars at this organization have produced 276 papers in Molecular Biology, 109 papers in Cancer Research and 78 papers in Pulmonary and Respiratory Medicine on the topics of Cancer-related molecular mechanisms research (54 papers), Ferroptosis and cancer prognosis (36 papers) and Circular RNAs in diseases (35 papers). Their work is cited by papers focused on Molecular Biology (3.1k citations), Cancer Research (1.0k citations) and Plant Science (798 citations). Authors at Hunan Academy of Traditional Chinese Medicine collaborate with scholars in China, United States and Spain and have published in prestigious journals including Nature Communications, Journal of Clinical Oncology and ACS Nano. Some of Hunan Academy of Traditional Chinese Medicine's most productive authors include Guizhen Wang, Ben‐Xin Wang, Ben-Xin Wang, Lingling Wang, Shuihan Zhang, Tian Sang, Hongliang Zeng, Jianhua Huang, Jinwen Ge and Shuyun Shi.

In The Last Decade

Fields of papers published by authors at Hunan Academy of Traditional Chinese Medicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Hunan Academy of Traditional Chinese Medicine at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Hunan Academy of Traditional Chinese Medicine at the time of their publication.

Countries citing scholars working at Hunan Academy of Traditional Chinese Medicine

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Hunan Academy of Traditional Chinese Medicine. 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 papers produced at Hunan Academy of Traditional Chinese Medicine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hunan Academy of Traditional Chinese Medicine more than expected).

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.

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2025