Shouzhi Fu

21 papers and 314 indexed citations i.

About

Shouzhi Fu is a scholar working on Molecular Biology, Surgery and Neurology. According to data from OpenAlex, Shouzhi Fu has authored 21 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Neurology. Recurrent topics in Shouzhi Fu’s work include COVID-19 diagnosis using AI (3 papers), COVID-19 Clinical Research Studies (3 papers) and Respiratory Support and Mechanisms (2 papers). Shouzhi Fu is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), COVID-19 Clinical Research Studies (3 papers) and Respiratory Support and Mechanisms (2 papers). Shouzhi Fu collaborates with scholars based in China, United States and Japan. Shouzhi Fu's co-authors include Yiqing Tan, Yanxia Zhang, Jushuang Li, Jun Wu, Geli Zhu, Xiangyou Li, Shixiong Zhang, Jing Ma, Yutao Li and Jun Ren and has published in prestigious journals such as Scientific Reports, American Journal Of Pathology and British Journal of Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Shouzhi Fu i

Fields of papers citing papers by Shouzhi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shouzhi Fu

Since Specialization
Citations

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