Ai Shi

15 papers and 429 indexed citations i.

About

Ai Shi is a scholar working on Neurology, Complementary and alternative medicine and Molecular Biology. According to data from OpenAlex, Ai Shi has authored 15 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 6 papers in Complementary and alternative medicine and 4 papers in Molecular Biology. Recurrent topics in Ai Shi’s work include Traditional Chinese Medicine Analysis (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Medicinal Plants and Neuroprotection (3 papers). Ai Shi is often cited by papers focused on Traditional Chinese Medicine Analysis (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Medicinal Plants and Neuroprotection (3 papers). Ai Shi collaborates with scholars based in China and United States. Ai Shi's co-authors include Yu Long, Shuang Yu, Nan Li, Jinyan Wan, Yulu Zhang, Xiaoqiu Li, Songyu Liu, Dan Li, Songyu Liu and Dingkun Zhang and has published in prestigious journals such as Frontiers in Immunology, Journal of Ethnopharmacology and Food and Chemical Toxicology.

In The Last Decade

Co-authorship network of co-authors of Ai Shi i

Fields of papers citing papers by Ai Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai Shi. 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 Ai Shi. The network helps show where Ai Shi may publish in the future.

Countries citing papers authored by Ai Shi

Since Specialization
Citations

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