Baixia Yang

22 papers and 482 indexed citations i.

About

Baixia Yang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Baixia Yang has authored 22 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Surgery. Recurrent topics in Baixia Yang’s work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers) and Berberine and alkaloids research (3 papers). Baixia Yang is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers) and Berberine and alkaloids research (3 papers). Baixia Yang collaborates with scholars based in China and United States. Baixia Yang's co-authors include Jing Cai, Xi Yang, Xinchen Sun, Feng Wang, Yangyang Ge, Hongyan Cheng, Weidong Mao, Xia Qian, Liping Xu and Hongcheng Zhu and has published in prestigious journals such as PLoS ONE, Medicine and Cancer Biology & Therapy.

In The Last Decade

Co-authorship network of co-authors of Baixia Yang i

Fields of papers citing papers by Baixia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Baixia Yang

Since Specialization
Citations

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