Si-Kun Guo

1.5k total citations · 1 hit paper
5 papers, 975 citations indexed

About

Si-Kun Guo is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Si-Kun Guo has authored 5 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 0 papers in Infectious Diseases. Recurrent topics in Si-Kun Guo's work include Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (3 papers) and RNA Research and Splicing (3 papers). Si-Kun Guo is often cited by papers focused on Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (3 papers) and RNA Research and Splicing (3 papers). Si-Kun Guo collaborates with scholars based in China, Germany and United States. Si-Kun Guo's co-authors include Ling‐Ling Chen, Li Yang, Chu‐Xiao Liu, Xiang Gao, Wei Xue, Fang Nan, Huihua Ding, Xiang Li, Shan Jiang and Kaige Dong and has published in prestigious journals such as Cell, Molecular Cell and Nature Methods.

In The Last Decade

Si-Kun Guo

5 papers receiving 963 citations

Hit Papers

Structure and Degradation of Circular RNAs Regulate PKR A... 2019 2026 2021 2023 2019 200 400 600

Peers

Si-Kun Guo
Xu-Kai Ma China
Laura Amaya United States
Sung Ho Boo South Korea
Ruohan Li China
Si-Kun Guo
Citations per year, relative to Si-Kun Guo Si-Kun Guo (= 1×) peers Tim Schneider

Countries citing papers authored by Si-Kun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Si-Kun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si-Kun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Si-Kun Guo. A scholar is included among the top collaborators of Si-Kun Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Si-Kun Guo. Si-Kun Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Guo, Si-Kun, Youkui Huang, Jinghui Wang, et al.. (2025). Therapeutic circRNA aptamer alleviates PKR-associated osteoarthritis. Science Bulletin. 70(14). 2232–2236. 5 indexed citations
2.
Liu, Chu‐Xiao, Si-Kun Guo, Nan Fang, et al.. (2021). RNA circles with minimized immunogenicity as potent PKR inhibitors. Molecular Cell. 82(2). 420–434.e6. 110 indexed citations
3.
Guo, Si-Kun, Fang Nan, Chu‐Xiao Liu, Li Yang, & Ling‐Ling Chen. (2021). Mapping circular RNA structures in living cells by SHAPE-MaP. Methods. 196. 47–55. 8 indexed citations
4.
Li, Siqi, Xiang Li, Wei Xue, et al.. (2020). Screening for functional circular RNAs using the CRISPR–Cas13 system. Nature Methods. 18(1). 51–59. 247 indexed citations
5.
Liu, Chu‐Xiao, Xiang Li, Fang Nan, et al.. (2019). Structure and Degradation of Circular RNAs Regulate PKR Activation in Innate Immunity. Cell. 177(4). 865–880.e21. 605 indexed citations breakdown →

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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