Kun Yang

94 papers and 1.4k indexed citations i.

About

Kun Yang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Kun Yang has authored 94 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 21 papers in Cancer Research and 20 papers in Genetics. Recurrent topics in Kun Yang’s work include Glioma Diagnosis and Treatment (20 papers), Ferroptosis and cancer prognosis (13 papers) and Cancer-related molecular mechanisms research (11 papers). Kun Yang is often cited by papers focused on Glioma Diagnosis and Treatment (20 papers), Ferroptosis and cancer prognosis (13 papers) and Cancer-related molecular mechanisms research (11 papers). Kun Yang collaborates with scholars based in China, United States and Iran. Kun Yang's co-authors include Hongyi Liu, Yuanjie Zou, Hong Xiao, James S. Fraser, Henry van den Bedem, Gira Bhabha, Peter E. Wright, Chaoyong Xiao, Jiu Chen and Dongming Liu and has published in prestigious journals such as ACS Nano, Advanced Functional Materials and Nature Methods.

In The Last Decade

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

Fields of papers citing papers by Kun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Yang

Since Specialization
Citations

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