Chang Bai

25 papers and 2.2k indexed citations i.

About

Chang Bai is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Chang Bai has authored 25 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Oncology. Recurrent topics in Chang Bai’s work include Estrogen and related hormone effects (7 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Prostate Cancer Treatment and Research (3 papers). Chang Bai is often cited by papers focused on Estrogen and related hormone effects (7 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Prostate Cancer Treatment and Research (3 papers). Chang Bai collaborates with scholars based in United States, China and Canada. Chang Bai's co-authors include Stephen J. Elledge, J. Wade Harper, Mark Goebl, Partha Sen, Kay Hofmann, Lei Ma, Qingyun Liu, C. Thomas Caskey, Ruiping Wang and Michael J. Davidoff and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Chang Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chang Bai

Since Specialization
Citations

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