Shu-Ping Fu

33 papers and 459 indexed citations i.

About

Shu-Ping Fu is a scholar working on Complementary and alternative medicine, Physiology and Neurology. According to data from OpenAlex, Shu-Ping Fu has authored 33 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Complementary and alternative medicine, 8 papers in Physiology and 7 papers in Neurology. Recurrent topics in Shu-Ping Fu’s work include Acupuncture Treatment Research Studies (18 papers), Traditional Chinese Medicine Studies (4 papers) and Adipose Tissue and Metabolism (3 papers). Shu-Ping Fu is often cited by papers focused on Acupuncture Treatment Research Studies (18 papers), Traditional Chinese Medicine Studies (4 papers) and Adipose Tissue and Metabolism (3 papers). Shu-Ping Fu collaborates with scholars based in China, United States and Hong Kong. Shu-Ping Fu's co-authors include Bing‐Mei Zhu, Sheng-Feng Lu, S. Lu, Xingmiao Chen, Mingjing Xu, Yong Gu, Jiangang Shen, Hao Hong, Jiang Jian-qin and Xi Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecules.

In The Last Decade

Co-authorship network of co-authors of Shu-Ping Fu i

Fields of papers citing papers by Shu-Ping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-Ping Fu. 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 Shu-Ping Fu. The network helps show where Shu-Ping Fu may publish in the future.

Countries citing papers authored by Shu-Ping Fu

Since Specialization
Citations

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