Mingjun Bi

11 papers and 249 indexed citations i.

About

Mingjun Bi is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Mingjun Bi has authored 11 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Mingjun Bi’s work include Cancer-related molecular mechanisms research (3 papers), Animal Genetics and Reproduction (3 papers) and RNA Research and Splicing (3 papers). Mingjun Bi is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Animal Genetics and Reproduction (3 papers) and RNA Research and Splicing (3 papers). Mingjun Bi collaborates with scholars based in China and United States. Mingjun Bi's co-authors include Hongmei Yu, Bin Huang, Zhao Zhang, Zhijie Liu, Junqiang Chen, Chi Zhu, Li Li, Lizhen Chen, Jia Tong and Tim H.‐M. Huang and has published in prestigious journals such as Molecular Cell, PLoS ONE and Gene.

In The Last Decade

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

Fields of papers citing papers by Mingjun Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingjun Bi

Since Specialization
Citations

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