Qinglong Ai

About

Qinglong Ai is a scholar working on Pharmacology, Neurology and Rheumatology. According to data from OpenAlex, Qinglong Ai has authored 7 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 5 papers in Neurology and 2 papers in Rheumatology. Recurrent topics in Qinglong Ai’s work include Biological and pharmacological studies of plants (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Qinglong Ai is often cited by papers focused on Biological and pharmacological studies of plants (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Qinglong Ai collaborates with scholars based in China and Australia. Qinglong Ai's co-authors include Lianmei Zhong, Di Lü, Ligong Bian, Jun Sun, Yi Zong, Yuemin Li, Yidan Liu, Wei Zhang, Run Li and Lin Sun and has published in prestigious journals such as PLoS ONE, Brain Research and Gene.

In The Last Decade

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

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Fields of papers citing papers by Qinglong Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qinglong Ai

Since Specialization

Citations

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