Ruiyun Xing

2.2k total citations
14 papers, 1.8k citations indexed

About

Ruiyun Xing is a scholar working on Molecular Biology, Cancer Research and Animal Science and Zoology. According to data from OpenAlex, Ruiyun Xing has authored 14 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cancer Research and 1 paper in Animal Science and Zoology. Recurrent topics in Ruiyun Xing's work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (5 papers). Ruiyun Xing is often cited by papers focused on MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (5 papers). Ruiyun Xing collaborates with scholars based in China and United States. Ruiyun Xing's co-authors include Hanjiang Fu, Yi Tie, Jie Zhu, Zhixian Sun, Xiaofei Zheng, Fang Sun, Qin Liu, Xiaofei Zheng, Qin Liu and Fang Sun and has published in prestigious journals such as Nucleic Acids Research, Hepatology and FEBS Letters.

In The Last Decade

Ruiyun Xing

13 papers receiving 1.8k citations

Peers

Ruiyun Xing
Min Deng China
Shen Mynn Tan United States
Martin Akerman United States
Robert Schickel United States
Paula A. Bubulya United States
Nadya Dimitrova United States
Marcel Köhn Germany
Qishi Fan China
Min Deng China
Ruiyun Xing
Citations per year, relative to Ruiyun Xing Ruiyun Xing (= 1×) peers Min Deng

Countries citing papers authored by Ruiyun Xing

Since Specialization
Citations

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

Fields of papers citing papers by Ruiyun Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiyun Xing

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

All Works

14 of 14 papers shown
1.
Hu, Zheng, Yi Tie, Hanjiang Fu, et al.. (2013). Correlation of microRNAs responding to high dose γ-irradiation with predicted target mRNAs in HeLa cells using microarray analyses. Chinese Science Bulletin. 58(36). 4622–4629. 1 indexed citations
2.
Zhang, Xuelin, Jie Zhu, Ruiyun Xing, et al.. (2012). miR-513a-3p sensitizes human lung adenocarcinoma cells to chemotherapy by targeting GSTP1. Lung Cancer. 77(3). 488–494. 69 indexed citations
3.
Li, Shuai, Juanjuan Zhu, Hanjiang Fu, et al.. (2011). Hepato-specific microRNA-122 facilitates accumulation of newly synthesized miRNA through regulating PRKRA. Nucleic Acids Research. 40(2). 884–891. 34 indexed citations
4.
Tie, Yi, Zheng Hu, Hanjiang Fu, et al.. (2011). A novel method for ionizing radiation-induced RNA damage detection by poly(A)-tailing RT-PCR. Chinese Science Bulletin. 56(30). 4 indexed citations
5.
Li, Jipeng, Hanjiang Fu, Chengwang Xu, et al.. (2010). miR-183 inhibits TGF-β1-induced apoptosis by downregulation of PDCD4 expression in human hepatocellular carcinoma cells. BMC Cancer. 10(1). 354–354. 127 indexed citations
6.
Xu, Chengwang, Shanshan Liu, Hanjiang Fu, et al.. (2010). MicroRNA-193b regulates proliferation, migration and invasion in human hepatocellular carcinoma cells. European Journal of Cancer. 46(15). 2828–2836. 128 indexed citations
7.
Liu, Qin, Hanjiang Fu, Ruiyun Xing, et al.. (2008). Survivin knockdown combined with apoptin overexpression inhibits cell growth significantly. Cancer Biology & Therapy. 7(7). 1053–1060. 17 indexed citations
8.
Sun, Fang, Hanjiang Fu, Qin Liu, et al.. (2008). Downregulation of CCND1 and CDK6 by miR‐34a induces cell cycle arrest. FEBS Letters. 582(10). 1564–1568. 424 indexed citations
9.
Li, Shuai, Hanjiang Fu, Yulan Wang, et al.. (2008). MicroRNA-101 regulates expression of the v-fos FBJ murine osteosarcoma viral oncogene homolog (FOS) oncogene in human hepatocellular carcinoma #. Hepatology. 49(4). 1194–1202. 145 indexed citations
10.
Fu, Hanjiang, Junjun Feng, Qin Liu, et al.. (2008). Stress induces tRNA cleavage by angiogenin in mammalian cells. FEBS Letters. 583(2). 437–442. 433 indexed citations
11.
Liu, Qin, Hanjiang Fu, Fang Sun, et al.. (2008). miR-16 family induces cell cycle arrest by regulating multiple cell cycle genes. Nucleic Acids Research. 36(16). 5391–5404. 401 indexed citations
12.
Xing, Ruiyun, et al.. (2005). [Characterization of the changes in protease of Deinococcus radiodurans following irradiation].. PubMed. 45(2). 264–9. 1 indexed citations
13.
Lü, Xing, et al.. (2002). [A short tandem repeat polymorphism in the inducible nitric oxide synthase gene in Chinese population].. PubMed. 29(4). 290–3. 4 indexed citations
14.
Wang, Renzhi, et al.. (1996). Magnetic microparticle antibodies and their application to RIAs. Journal of Radioanalytical and Nuclear Chemistry. 206(2). 205–218. 2 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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