Jing Ai

125 papers and 2.6k indexed citations i.

About

Jing Ai is a scholar working on Molecular Biology, Oncology and Hepatology. According to data from OpenAlex, Jing Ai has authored 125 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 37 papers in Oncology and 31 papers in Hepatology. Recurrent topics in Jing Ai’s work include Liver physiology and pathology (31 papers), Fibroblast Growth Factor Research (21 papers) and PI3K/AKT/mTOR signaling in cancer (16 papers). Jing Ai is often cited by papers focused on Liver physiology and pathology (31 papers), Fibroblast Growth Factor Research (21 papers) and PI3K/AKT/mTOR signaling in cancer (16 papers). Jing Ai collaborates with scholars based in China, United States and Taiwan. Jing Ai's co-authors include Meiyu Geng, Zhong‐Ming Sun, Hong‐Rui Tian, Chao‐Ying Gao, Yinchun Ji, Peng Xia, Ao Zhang, Jian Ding, Wenhu Duan and Song Dang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Blood.

In The Last Decade

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

Fields of papers citing papers by Jing Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Ai

Since Specialization
Citations

This map shows the geographic impact of Jing 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 Jing Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing 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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2025