Jing Bi

96 papers and 2.4k indexed citations i.

About

Jing Bi is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Jing Bi has authored 96 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 19 papers in Infectious Diseases and 18 papers in Epidemiology. Recurrent topics in Jing Bi’s work include Tuberculosis Research and Epidemiology (10 papers), Neuropeptides and Animal Physiology (10 papers) and Alzheimer's disease research and treatments (8 papers). Jing Bi is often cited by papers focused on Tuberculosis Research and Epidemiology (10 papers), Neuropeptides and Animal Physiology (10 papers) and Alzheimer's disease research and treatments (8 papers). Jing Bi collaborates with scholars based in China, United States and United Kingdom. Jing Bi's co-authors include Li‐Na Wei, Shaobo Xiao, Liurong Fang, Horace H. Loh, Huanchun Chen, Nien‐Pei Tsai, Nan Dong, Dang Wang, Bo Jiang and Lijia An and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

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

Fields of papers citing papers by Jing Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Bi

Since Specialization
Citations

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