Shaofan Liu

19 papers and 423 indexed citations i.

About

Shaofan Liu is a scholar working on Oncology, Artificial Intelligence and Physiology. According to data from OpenAlex, Shaofan Liu has authored 19 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Artificial Intelligence and 3 papers in Physiology. Recurrent topics in Shaofan Liu’s work include Viral-associated cancers and disorders (5 papers), Histiocytic Disorders and Treatments (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Shaofan Liu is often cited by papers focused on Viral-associated cancers and disorders (5 papers), Histiocytic Disorders and Treatments (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Shaofan Liu collaborates with scholars based in China, United States and Germany. Shaofan Liu's co-authors include Samuel H. Speck, Ana M. Borras, Talal A. Chatila, Herbert W. Virgin, Guntram Suske, Yang Lu, Xing Wei, Byron K. Murray, Milton L. Lee and Jack L. Strominger and has published in prestigious journals such as The EMBO Journal, Analytical Biochemistry and Journal of Virology.

In The Last Decade

Co-authorship network of co-authors of Shaofan Liu i

Fields of papers citing papers by Shaofan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shaofan Liu

Since Specialization
Citations

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