Min Wu

366 papers and 12.8k indexed citations i.

About

Min Wu is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Min Wu has authored 366 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Molecular Biology, 69 papers in Immunology and 55 papers in Epidemiology. Recurrent topics in Min Wu’s work include CRISPR and Genetic Engineering (21 papers), Autophagy in Disease and Therapy (20 papers) and Immune Response and Inflammation (19 papers). Min Wu is often cited by papers focused on CRISPR and Genetic Engineering (21 papers), Autophagy in Disease and Therapy (20 papers) and Immune Response and Inflammation (19 papers). Min Wu collaborates with scholars based in China, United States and Hong Kong. Min Wu's co-authors include Julia Xiaojun Zhao, Xia Zhao, Xu Wu, Weiqi Hong, Hongyi Li, Yang Yang, Mengyuan Huang, Qinqin Pu, Shugang Qin and Xin Deng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

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

Fields of papers citing papers by Min Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Wu

Since Specialization
Citations

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