Dejun Tang

14 papers and 432 indexed citations i.

About

Dejun Tang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Dejun Tang has authored 14 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 3 papers in Immunology. Recurrent topics in Dejun Tang’s work include Multiple Sclerosis Research Studies (4 papers), Sphingolipid Metabolism and Signaling (4 papers) and Statistical Methods in Clinical Trials (2 papers). Dejun Tang is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Sphingolipid Metabolism and Signaling (4 papers) and Statistical Methods in Clinical Trials (2 papers). Dejun Tang collaborates with scholars based in United States, Switzerland and China. Dejun Tang's co-authors include William Collins, Ludwig Kappos, Anthony T. Reder, Lixin Zhang-Auberson, G. Francis, JA Cohen, François Mercier, Paul O’Connor, Xiaoli Zhang and Marco A. Zarbin and has published in prestigious journals such as Neurology, Ophthalmology and Annals of Oncology.

In The Last Decade

Co-authorship network of co-authors of Dejun Tang i

Fields of papers citing papers by Dejun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dejun Tang

Since Specialization
Citations

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