Ne N. Wu

16 papers and 736 indexed citations i.

About

Ne N. Wu is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Ne N. Wu has authored 16 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Ne N. Wu’s work include Autophagy in Disease and Therapy (8 papers), Mitochondrial Function and Pathology (6 papers) and Adipose Tissue and Metabolism (4 papers). Ne N. Wu is often cited by papers focused on Autophagy in Disease and Therapy (8 papers), Mitochondrial Function and Pathology (6 papers) and Adipose Tissue and Metabolism (4 papers). Ne N. Wu collaborates with scholars based in China, United States and Canada. Ne N. Wu's co-authors include Jun Ren, Yingmei Zhang, James R. Sowers, Shuyi Wang, Yaguang Bi, Peijie Chen, Amir Ajoolabady, Haili Tian, Dan Wang and Randal J. Kaufman and has published in prestigious journals such as Physiological Reviews, British Journal of Pharmacology and Life Sciences.

In The Last Decade

Co-authorship network of co-authors of Ne N. Wu i

Fields of papers citing papers by Ne N. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ne N. Wu

Since Specialization
Citations

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