Can Shi

41 papers and 2.0k indexed citations i.

About

Can Shi is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Can Shi has authored 41 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Immunology and 15 papers in Cancer Research. Recurrent topics in Can Shi’s work include Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (8 papers) and MicroRNA in disease regulation (8 papers). Can Shi is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (8 papers) and MicroRNA in disease regulation (8 papers). Can Shi collaborates with scholars based in China, United States and United Kingdom. Can Shi's co-authors include Daniel I. Simon, Masashi Sakuma, Yunmei Wang, Kevin Croce, Huiyun Gao, Alexandre C. Zago, Peter Libby, Zhiping Chen, Zhiping Chen and Zhiping Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

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

Fields of papers citing papers by Can Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Can Shi

Since Specialization
Citations

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