Ming Shi

20 papers and 513 indexed citations i.

About

Ming Shi is a scholar working on Molecular Biology, Nephrology and Oncology. According to data from OpenAlex, Ming Shi has authored 20 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Nephrology and 4 papers in Oncology. Recurrent topics in Ming Shi’s work include Long-Term Effects of COVID-19 (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and COVID-19 Clinical Research Studies (3 papers). Ming Shi is often cited by papers focused on Long-Term Effects of COVID-19 (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and COVID-19 Clinical Research Studies (3 papers). Ming Shi collaborates with scholars based in China, United States and Hong Kong. Ming Shi's co-authors include Zheng Yang, David A. Foster, Alfredo Toschi, Vanessa Rodrik-Outmezguine, Yingjie Shen, Hui Li, Jing Liu, Xiaoping Miao, Hui Tang and Xiaohui Wang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American Society of Nephrology and Journal of Cellular Physiology.

In The Last Decade

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

Fields of papers citing papers by Ming Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Shi

Since Specialization
Citations

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