Daohua Shi

25 papers and 350 indexed citations i.

About

Daohua Shi is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Daohua Shi has authored 25 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Daohua Shi’s work include PI3K/AKT/mTOR signaling in cancer (10 papers), Polyamine Metabolism and Applications (8 papers) and CRISPR and Genetic Engineering (3 papers). Daohua Shi is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (10 papers), Polyamine Metabolism and Applications (8 papers) and CRISPR and Genetic Engineering (3 papers). Daohua Shi collaborates with scholars based in China. Daohua Shi's co-authors include Yanting Zhu, Jie Deng, Yaoyao Chen, Junli Deng, Qin Liao, Wei Zheng, Xiangjin Xu, Ying Liu, Yuxuan Zhang and Qi Fang and has published in prestigious journals such as PLoS ONE, Life Sciences and European Journal of Pharmacology.

In The Last Decade

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

Fields of papers citing papers by Daohua Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daohua Shi

Since Specialization
Citations

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