Kun Jin

About

Kun Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Kun Jin has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Immunology. Recurrent topics in Kun Jin’s work include Neuroscience and Neuropharmacology Research (5 papers), Cell death mechanisms and regulation (4 papers) and T-cell and B-cell Immunology (3 papers). Kun Jin is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Cell death mechanisms and regulation (4 papers) and T-cell and B-cell Immunology (3 papers). Kun Jin collaborates with scholars based in United States and China. Kun Jin's co-authors include David A. Greenberg, Xiao Mao, Steven H. Graham, Simon C. Watkins, Patrick M. Kochanek, Robert S. B. Clark, Minzhi Chen, Paula D. Nathaniel, C. Edward Dixon and John A. Melick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Neurology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Kun Jin i

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Fields of papers citing papers by Kun Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Jin

Since Specialization

Citations

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