Feng Wu

64 papers and 2.8k indexed citations i.

About

Feng Wu is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Feng Wu has authored 64 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 16 papers in Physiology and 11 papers in Immunology. Recurrent topics in Feng Wu’s work include Alzheimer's disease research and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and MicroRNA in disease regulation (7 papers). Feng Wu is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and MicroRNA in disease regulation (7 papers). Feng Wu collaborates with scholars based in China, United States and Italy. Feng Wu's co-authors include Shukti Chakravarti, John H. Kwon, Zheng‐Hong Qin, Jin‐Hua Gu, Luke Roberts, Alice Chuang, Jianbin Ge, Haidong Xu, Zili Zhai and Mei Li and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Feng Wu i

Fields of papers citing papers by Feng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Wu

Since Specialization
Citations

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