Hailong Wu

56 papers and 4.1k indexed citations i.

About

Hailong Wu is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Hailong Wu has authored 56 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 21 papers in Cancer Research and 8 papers in Plant Science. Recurrent topics in Hailong Wu’s work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (11 papers) and RNA modifications and cancer (10 papers). Hailong Wu is often cited by papers focused on MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (11 papers) and RNA modifications and cancer (10 papers). Hailong Wu collaborates with scholars based in China, United States and Mexico. Hailong Wu's co-authors include Yin‐Yuan Mo, Fangting Wu, Min-Liang Si, Shoumin Zhu, Yin-Yuan Mo, Shijie Sheng, Daotai Nie, Mohit Sachdeva, Kounosuke Watabe and Vijay Walia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Hepatology.

In The Last Decade

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

Fields of papers citing papers by Hailong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hailong Wu

Since Specialization
Citations

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