Shubin Cai

19 papers and 343 indexed citations i.

About

Shubin Cai is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Shubin Cai has authored 19 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Artificial Intelligence and 3 papers in Cancer Research. Recurrent topics in Shubin Cai’s work include Machine Learning and ELM (4 papers), Gut microbiota and health (3 papers) and MicroRNA in disease regulation (3 papers). Shubin Cai is often cited by papers focused on Machine Learning and ELM (4 papers), Gut microbiota and health (3 papers) and MicroRNA in disease regulation (3 papers). Shubin Cai collaborates with scholars based in China, United States and Macao. Shubin Cai's co-authors include Zhong Ming, Jianqiang Li, Yazhou Sun, Weipeng Cao, Jinzhu Gao, Xing Chen, Dehong Zhang, Yingying Zhu, Jianmin Jiang and Sheng-hua Zhong and has published in prestigious journals such as Frontiers in Microbiology, Physica A Statistical Mechanics and its Applications and Neuroendocrinology.

In The Last Decade

Co-authorship network of co-authors of Shubin Cai i

Fields of papers citing papers by Shubin Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shubin Cai

Since Specialization
Citations

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