Jun Tan

122 papers and 6.4k indexed citations i.

About

Jun Tan is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Jun Tan has authored 122 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Physiology, 35 papers in Neurology and 31 papers in Molecular Biology. Recurrent topics in Jun Tan’s work include Alzheimer's disease research and treatments (57 papers), Neuroinflammation and Neurodegeneration Mechanisms (33 papers) and Immune Response and Inflammation (15 papers). Jun Tan is often cited by papers focused on Alzheimer's disease research and treatments (57 papers), Neuroinflammation and Neurodegeneration Mechanisms (33 papers) and Immune Response and Inflammation (15 papers). Jun Tan collaborates with scholars based in United States, China and Japan. Jun Tan's co-authors include Terrence Town, Michael Mullan, Brian Giunta, Gary W. Arendash, Demian Obregon, Takashi Mori, R. Douglas Shytle, Richard A. Flavell, Francisco Arnalich and Kavon Rezai‐Zadeh and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Jun Tan i

Fields of papers citing papers by Jun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Tan

Since Specialization
Citations

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