Qing‐Ling Fu

89 papers and 3.3k indexed citations i.

About

Qing‐Ling Fu is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Qing‐Ling Fu has authored 89 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 25 papers in Immunology and 25 papers in Genetics. Recurrent topics in Qing‐Ling Fu’s work include Mesenchymal stem cell research (23 papers), IL-33, ST2, and ILC Pathways (20 papers) and Extracellular vesicles in disease (19 papers). Qing‐Ling Fu is often cited by papers focused on Mesenchymal stem cell research (23 papers), IL-33, ST2, and ILC Pathways (20 papers) and Extracellular vesicles in disease (19 papers). Qing‐Ling Fu collaborates with scholars based in China, Hong Kong and United States. Qing‐Ling Fu's co-authors include Xingliang Fan, Yuelin Zhang, Xin Li, Weiping Wen, Geng Xu, Qizhou Lian, Shu‐Bin Fang, Yueqi Sun, Jianbo Shi and Jianbo Shi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Qing‐Ling Fu i

Fields of papers citing papers by Qing‐Ling Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qing‐Ling Fu

Since Specialization
Citations

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