Di Fu

68 papers and 1.1k indexed citations i.

About

Di Fu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Di Fu has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 19 papers in Pathology and Forensic Medicine and 14 papers in Oncology. Recurrent topics in Di Fu’s work include Lymphoma Diagnosis and Treatment (17 papers), CAR-T cell therapy research (11 papers) and Immune Cell Function and Interaction (8 papers). Di Fu is often cited by papers focused on Lymphoma Diagnosis and Treatment (17 papers), CAR-T cell therapy research (11 papers) and Immune Cell Function and Interaction (8 papers). Di Fu collaborates with scholars based in China, United States and Singapore. Di Fu's co-authors include Philip K. Moore, Shabbir Moochhala, Madhav Bhatia, Li Wang, Pengpeng Xu, Shu Cheng, Weili Zhao, Weili Zhao, Hongmei Yi and Yan Zhao and has published in prestigious journals such as Cancer Cell, Scientific Reports and The FASEB Journal.

In The Last Decade

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

Fields of papers citing papers by Di Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Di Fu

Since Specialization
Citations

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