Wan-Tie Wang

69 papers and 375 indexed citations i.

About

Wan-Tie Wang is a scholar working on Molecular Biology, Cancer Research and Complementary and alternative medicine. According to data from OpenAlex, Wan-Tie Wang has authored 69 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 18 papers in Cancer Research and 13 papers in Complementary and alternative medicine. Recurrent topics in Wan-Tie Wang’s work include Traditional Chinese Medicine Analysis (13 papers), Mitochondrial Function and Pathology (10 papers) and Cardiac Ischemia and Reperfusion (8 papers). Wan-Tie Wang is often cited by papers focused on Traditional Chinese Medicine Analysis (13 papers), Mitochondrial Function and Pathology (10 papers) and Cardiac Ischemia and Reperfusion (8 papers). Wan-Tie Wang collaborates with scholars based in China, United States and Australia. Wan-Tie Wang's co-authors include Lina Lin, Liangrong Wang, Keke Jin, Fangyan Wang, Qifan Zhu, Dexuan Wang, Ying Lei, Shan Zhao, Wei Meng and Xiujie Liu and has published in prestigious journals such as European Journal of Pharmacology, Anesthesia & Analgesia and eLife.

In The Last Decade

Co-authorship network of co-authors of Wan-Tie Wang i

Fields of papers citing papers by Wan-Tie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan-Tie Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wan-Tie Wang. The network helps show where Wan-Tie Wang may publish in the future.

Countries citing papers authored by Wan-Tie Wang

Since Specialization
Citations

This map shows the geographic impact of Wan-Tie Wang's research. 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 Wan-Tie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan-Tie Wang 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