Jing Bai

200 papers and 4.7k indexed citations i.

About

Jing Bai is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jing Bai has authored 200 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Molecular Biology, 48 papers in Cancer Research and 29 papers in Oncology. Recurrent topics in Jing Bai’s work include RNA modifications and cancer (26 papers), Cancer-related molecular mechanisms research (24 papers) and RNA Research and Splicing (19 papers). Jing Bai is often cited by papers focused on RNA modifications and cancer (26 papers), Cancer-related molecular mechanisms research (24 papers) and RNA Research and Splicing (19 papers). Jing Bai collaborates with scholars based in China, United States and Canada. Jing Bai's co-authors include Xia Li, Songbin Fu, Yun Xiao, Yan Jin, Jinyuan Xu, Yang Yu, Yujia Lan, Tingting Zhao, Yanyan Ping and Chunyu Deng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

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

Fields of papers citing papers by Jing Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Bai

Since Specialization
Citations

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