Mingxi Gan

22 papers and 552 indexed citations i.

About

Mingxi Gan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Mingxi Gan has authored 22 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Mingxi Gan’s work include Cancer, Hypoxia, and Metabolism (8 papers), Ubiquitin and proteasome pathways (7 papers) and RNA modifications and cancer (6 papers). Mingxi Gan is often cited by papers focused on Cancer, Hypoxia, and Metabolism (8 papers), Ubiquitin and proteasome pathways (7 papers) and RNA modifications and cancer (6 papers). Mingxi Gan collaborates with scholars based in China and United States. Mingxi Gan's co-authors include Tianyu Han, Jianbin Wang, Caifeng Xie, Weihua Zhan, Bentong Yu, Meng Guo, Ke‐Yu Deng, Xiao‐Li Tian, Mingui Fu and Yanan Wang and has published in prestigious journals such as PLoS ONE, FEBS Letters and Advanced Science.

In The Last Decade

Co-authorship network of co-authors of Mingxi Gan i

Fields of papers citing papers by Mingxi Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingxi Gan

Since Specialization
Citations

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