Ming Shi

98 papers and 2.4k indexed citations i.

About

Ming Shi is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Ming Shi has authored 98 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Oncology, 38 papers in Molecular Biology and 15 papers in Immunology. Recurrent topics in Ming Shi’s work include CAR-T cell therapy research (21 papers), Cancer, Stress, Anesthesia, and Immune Response (12 papers) and CRISPR and Genetic Engineering (11 papers). Ming Shi is often cited by papers focused on CAR-T cell therapy research (21 papers), Cancer, Stress, Anesthesia, and Immune Response (12 papers) and CRISPR and Genetic Engineering (11 papers). Ming Shi collaborates with scholars based in China, United States and Russia. Ming Shi's co-authors include Ning Guo, Liang Guo, Dan Liu, Qian Lu, Yongping Yang, Po Tien, Ruizhao Qi, Feng Shi, Fu‐Sheng Wang and Zhen Zeng and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

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