Si Gui

441 total citations
6 papers, 357 citations indexed

About

Si Gui is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Si Gui has authored 6 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Si Gui's work include Circular RNAs in diseases (3 papers), MRI in cancer diagnosis (2 papers) and Extracellular vesicles in disease (2 papers). Si Gui is often cited by papers focused on Circular RNAs in diseases (3 papers), MRI in cancer diagnosis (2 papers) and Extracellular vesicles in disease (2 papers). Si Gui collaborates with scholars based in China. Si Gui's co-authors include Songtao Qi, Lei Yu, Hui-xia Han, Zhang Xue-lin, Fei Yao, Yanqing Ding, Binghui Qiu, Jun Pan, Xiaoyu Qiu and Yawei Liu and has published in prestigious journals such as Cancer Science, Aging and Therapeutic Advances in Medical Oncology.

In The Last Decade

Si Gui

6 papers receiving 355 citations

Peers

Si Gui
Si Gui
Citations per year, relative to Si Gui Si Gui (= 1×) peers Lorena Bissola

Countries citing papers authored by Si Gui

Since Specialization
Citations

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

Fields of papers citing papers by Si Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Si Gui. A scholar is included among the top collaborators of Si Gui 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 Gui. Si Gui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Yu, Lei, Si Gui, Yawei Liu, et al.. (2020). Long intergenic non-protein coding RNA 00475 silencing acts as a tumor suppressor in glioma under hypoxic condition by impairing microRNA-449b-5p-dependent AGAP2 up-regulation. Therapeutic Advances in Medical Oncology. 12. 3863555976–3863555976. 15 indexed citations
3.
Yu, Lei, Si Gui, Yawei Liu, et al.. (2019). Exosomes derived from microRNA-199a-overexpressing mesenchymal stem cells inhibit glioma progression by down-regulating AGAP2. Aging. 11(15). 5300–5318. 108 indexed citations
4.
Yu, Lei, Si Gui, Yawei Liu, et al.. (2019). Exosomes Derived from microRNA-199a-Overexpressing Mesenchymal Stem Cells Inhibit Glioma Progression by Down-Regulating AGAP2. SSRN Electronic Journal. 2 indexed citations
6.
Qi, Songtao, Lei Yu, Si Gui, et al.. (2011). IDH mutations predict longer survival and response to temozolomide in secondary glioblastoma. Cancer Science. 103(2). 269–273. 227 indexed citations

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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