Qing Shi

40 papers and 572 indexed citations i.

About

Qing Shi is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Qing Shi has authored 40 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Qing Shi’s work include Acute Lymphoblastic Leukemia research (5 papers), Ubiquitin and proteasome pathways (5 papers) and Mesenchymal stem cell research (3 papers). Qing Shi is often cited by papers focused on Acute Lymphoblastic Leukemia research (5 papers), Ubiquitin and proteasome pathways (5 papers) and Mesenchymal stem cell research (3 papers). Qing Shi collaborates with scholars based in China, United States and Macao. Qing Shi's co-authors include Xiaohui Li, Jianxiang Zhang, Xiaoqiu Xu, Xiuli Ju, Xiangjun Zhang, Songling Han, Chenji Wang, Hao Gong, Yanling Wei and Xin Chen and has published in prestigious journals such as Nature Communications, Blood and Biomaterials.

In The Last Decade

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

Fields of papers citing papers by Qing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qing Shi

Since Specialization
Citations

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