Qingfa Wu

72 papers and 5.3k indexed citations i.

About

Qingfa Wu is a scholar working on Molecular Biology, Plant Science and Endocrinology. According to data from OpenAlex, Qingfa Wu has authored 72 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 29 papers in Plant Science and 15 papers in Endocrinology. Recurrent topics in Qingfa Wu’s work include Plant Virus Research Studies (25 papers), Plant and Fungal Interactions Research (15 papers) and RNA Research and Splicing (8 papers). Qingfa Wu is often cited by papers focused on Plant Virus Research Studies (25 papers), Plant and Fungal Interactions Research (15 papers) and RNA Research and Splicing (8 papers). Qingfa Wu collaborates with scholars based in China, United States and Italy. Qingfa Wu's co-authors include Shou‐Wei Ding, Zhaoxia Chang, Ge Shan, Huijie Liu, Pengfei Zhu, Bin Yu, Chuan Huang, Ya Jia, Ping Xu and Liang Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

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

Fields of papers citing papers by Qingfa Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qingfa Wu

Since Specialization
Citations

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