Meixia Bi

14 papers and 1.1k indexed citations i.

About

Meixia Bi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Meixia Bi has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Meixia Bi’s work include Cancer, Hypoxia, and Metabolism (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Cancer-related gene regulation (3 papers). Meixia Bi is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Cancer-related gene regulation (3 papers). Meixia Bi collaborates with scholars based in United States, China and Canada. Meixia Bi's co-authors include Constantinos Koumenis, David Ron, Bradly G. Wouters, Jaime D. Blais, Heather P. Harding, John C. Bell, Christine Naczki, Nianping Hu, Mahesh A. Varia and Donalyn Scheuner and has published in prestigious journals such as The EMBO Journal, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Meixia Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meixia Bi

Since Specialization
Citations

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