Ming Su

51 papers and 827 indexed citations i.

About

Ming Su is a scholar working on Epidemiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Ming Su has authored 51 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 16 papers in Molecular Biology and 11 papers in Cancer Research. Recurrent topics in Ming Su’s work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Autophagy in Disease and Therapy (8 papers) and Ubiquitin and proteasome pathways (5 papers). Ming Su is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Autophagy in Disease and Therapy (8 papers) and Ubiquitin and proteasome pathways (5 papers). Ming Su collaborates with scholars based in China, United States and Hong Kong. Ming Su's co-authors include Rutai Hui, Lei Song, Wei Qiu, Jizheng Wang, Yubao Zou, Yilu Wang, Mei Jia, Jianwei Wang, C Wang and L Zhang and has published in prestigious journals such as Circulation, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Ming Su i

Fields of papers citing papers by Ming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Su

Since Specialization
Citations

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