Long‐Jun Wu

206 papers and 12.6k indexed citations i.

About

Long‐Jun Wu is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Long‐Jun Wu has authored 206 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Neurology, 90 papers in Cellular and Molecular Neuroscience and 48 papers in Physiology. Recurrent topics in Long‐Jun Wu’s work include Neuroinflammation and Neurodegeneration Mechanisms (92 papers), Neuroscience and Neuropharmacology Research (70 papers) and Pain Mechanisms and Treatments (40 papers). Long‐Jun Wu is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (92 papers), Neuroscience and Neuropharmacology Research (70 papers) and Pain Mechanisms and Treatments (40 papers). Long‐Jun Wu collaborates with scholars based in United States, China and Canada. Long‐Jun Wu's co-authors include Min Zhuo, Ukpong B. Eyo, Madhuvika Murugan, Ming Zhao, Hiroki Toyoda, Dai‐Shi Tian, David E. Clapham, Dale B. Bosco, Shanelle W. Ko and Anthony D. Umpierre and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Co-authorship network of co-authors of Long‐Jun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Long‐Jun Wu. A scholar is included among the top collaborators of Long‐Jun Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Long‐Jun Wu. Long‐Jun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Long‐Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long‐Jun Wu

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026