Fu‐Gang Zhu

35 papers and 945 indexed citations i.

About

Fu‐Gang Zhu is a scholar working on Immunology, Physiology and Oncology. According to data from OpenAlex, Fu‐Gang Zhu has authored 35 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 7 papers in Physiology and 7 papers in Oncology. Recurrent topics in Fu‐Gang Zhu’s work include Immune Response and Inflammation (18 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (8 papers). Fu‐Gang Zhu is often cited by papers focused on Immune Response and Inflammation (18 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (8 papers). Fu‐Gang Zhu collaborates with scholars based in United States, China and Canada. Fu‐Gang Zhu's co-authors include Sudhir Agrawal, Ekambar R. Kandimalla, David S. Pisetsky, Jean S. Marshall, Lakshmi Bhagat, Daqing Wang, Charles F. Reich, Dong Soo Yu, Jimmy X. Tang and Dong Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Fu‐Gang Zhu i

Fields of papers citing papers by Fu‐Gang Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fu‐Gang Zhu

Since Specialization
Citations

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