Kun Leng

About

Kun Leng is a scholar working on Neurology, Molecular Biology and Physiology. According to data from OpenAlex, Kun Leng has authored 13 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 6 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Kun Leng’s work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), CRISPR and Genetic Engineering (3 papers) and Single-cell and spatial transcriptomics (3 papers). Kun Leng is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), CRISPR and Genetic Engineering (3 papers) and Single-cell and spatial transcriptomics (3 papers). Kun Leng collaborates with scholars based in United States, Brazil and Japan. Kun Leng's co-authors include Martin Kampmann, Nina M. Dräger, Andrew Singleton, Jason Hong, Mike A. Nalls, Faraz Faghri, Sayed Hadi Hashemi, Emmy Li, Ruilin Tian and Ke Xu and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Molecular Psychiatry.

In The Last Decade

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

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Fields of papers citing papers by Kun Leng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Leng

Since Specialization

Citations

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