Kaixing Ai

32 papers and 906 indexed citations i.

About

Kaixing Ai is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kaixing Ai has authored 32 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Kaixing Ai’s work include RNA modifications and cancer (5 papers), Hedgehog Signaling Pathway Studies (5 papers) and Epigenetics and DNA Methylation (4 papers). Kaixing Ai is often cited by papers focused on RNA modifications and cancer (5 papers), Hedgehog Signaling Pathway Studies (5 papers) and Epigenetics and DNA Methylation (4 papers). Kaixing Ai collaborates with scholars based in China, India and Australia. Kaixing Ai's co-authors include Chenchao Ma, Xinyu Huang, Kate Nong, Zhou Yuan, Hongda Zhu, Weiwei Wang, Bo Wu, Yueqing Bai, Weiwei Wang and Yang Wang and has published in prestigious journals such as International Journal of Molecular Sciences, World Journal of Gastroenterology and Cell Death and Disease.

In The Last Decade

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

Fields of papers citing papers by Kaixing Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaixing Ai

Since Specialization
Citations

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