Laixi Bi

15 papers and 358 indexed citations i.

About

Laixi Bi is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Laixi Bi has authored 15 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Hematology. Recurrent topics in Laixi Bi’s work include Acute Myeloid Leukemia Research (2 papers), Circular RNAs in diseases (2 papers) and Lipid metabolism and disorders (2 papers). Laixi Bi is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Circular RNAs in diseases (2 papers) and Lipid metabolism and disorders (2 papers). Laixi Bi collaborates with scholars based in China and United States. Laixi Bi's co-authors include Jianbo Wu, Shenghui Zhang, Yixiang Han, Shenmeng Gao, Yu Kang, Lei Jiang, Lan Sun, Haiying Li, Yu Kang and Peili Zhang and has published in prestigious journals such as PLoS ONE, BMC Cancer and Cancer Science.

In The Last Decade

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

Fields of papers citing papers by Laixi Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laixi Bi

Since Specialization
Citations

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