Yuning Feng

36 papers and 501 indexed citations i.

About

Yuning Feng is a scholar working on Epidemiology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Yuning Feng has authored 36 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Pathology and Forensic Medicine and 7 papers in Neurology. Recurrent topics in Yuning Feng’s work include Tea Polyphenols and Effects (5 papers), Glioma Diagnosis and Treatment (4 papers) and Intracerebral and Subarachnoid Hemorrhage Research (4 papers). Yuning Feng is often cited by papers focused on Tea Polyphenols and Effects (5 papers), Glioma Diagnosis and Treatment (4 papers) and Intracerebral and Subarachnoid Hemorrhage Research (4 papers). Yuning Feng collaborates with scholars based in China, United States and Canada. Yuning Feng's co-authors include Fang Fang, Jingjing Tang, Ping Xu, Yu Zhang, Lu Jia, Andrew Faramand, Yang Hai, Weelic Chong, Huiwen Tan and Jing Li and has published in prestigious journals such as Blood, Environmental Science & Technology and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Yuning Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuning Feng

Since Specialization
Citations

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