Kun Yan

10 papers and 264 indexed citations i.

About

Kun Yan is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology. According to data from OpenAlex, Kun Yan has authored 10 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Kun Yan’s work include Neuroscience and Neuropharmacology Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cellular transport and secretion (2 papers). Kun Yan is often cited by papers focused on Neuroscience and Neuropharmacology Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cellular transport and secretion (2 papers). Kun Yan collaborates with scholars based in United States, Denmark and China. Kun Yan's co-authors include Mark M. Rasenick, Kristine S. Madsen, Jian Su, Maialen Irazoqui Apecechea, Job Dullaart, Sanne Muis, Martin Verlaan, Nan Wang, Amy F. Moss and J. Popova and has published in prestigious journals such as Journal of Neurochemistry, Muscle & Nerve and Journal of Computer Assisted Tomography.

In The Last Decade

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

Fields of papers citing papers by Kun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Yan

Since Specialization
Citations

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