Shunli Fu

28 papers and 443 indexed citations i.

About

Shunli Fu is a scholar working on Immunology, Biomedical Engineering and Oncology. According to data from OpenAlex, Shunli Fu has authored 28 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 17 papers in Biomedical Engineering and 13 papers in Oncology. Recurrent topics in Shunli Fu’s work include Nanoplatforms for cancer theranostics (16 papers), Immunotherapy and Immune Responses (12 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Shunli Fu is often cited by papers focused on Nanoplatforms for cancer theranostics (16 papers), Immunotherapy and Immune Responses (12 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Shunli Fu collaborates with scholars based in China. Shunli Fu's co-authors include Na Zhang, Yongjun Liu, Shuang Liang, Weiwei Mu, Zipeng Zhang, Tong Gao, Rui Yang, Li Guan, Teng Hou and Qihui Chu and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

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

Fields of papers citing papers by Shunli Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shunli Fu

Since Specialization
Citations

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