Chun Rao

471 total citations
10 papers, 276 citations indexed

About

Chun Rao is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Chun Rao has authored 10 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Chun Rao's work include Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (3 papers). Chun Rao is often cited by papers focused on Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (3 papers). Chun Rao collaborates with scholars based in China and Montenegro. Chun Rao's co-authors include Wenjun Luo, Dan Hua, Xuexia Zhou, Cuijuan Shi, Lin Yu, Cuiyun Sun, Shizhu Yu, Zhendong Jiang, Qian Wang and Xuebing Li and has published in prestigious journals such as Journal of Clinical Investigation, American Journal Of Pathology and British Journal of Cancer.

In The Last Decade

Chun Rao

9 papers receiving 275 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chun Rao China	7	249	182	22	12	11	10	276
Anna L. Leichter New Zealand	7	229 0.9×	164 0.9×	19 0.9×	30 2.5×	19 1.7×	8	270
Alyssa Klein United States	3	221 0.9×	198 1.1×	31 1.4×	12 1.0×	12 1.1×	7	295
Daniela Bräuer-Hartmann Germany	7	231 0.9×	188 1.0×	27 1.2×	14 1.2×	11 1.0×	8	278
T Zhang China	3	164 0.7×	160 0.9×	30 1.4×	33 2.8×	16 1.5×	8	230
Danna Sheinboim Israel	5	175 0.7×	97 0.5×	12 0.5×	18 1.5×	8 0.7×	5	210
Christine How Canada	6	216 0.9×	202 1.1×	8 0.4×	17 1.4×	12 1.1×	8	263
Alia Abukiwan Germany	5	210 0.8×	174 1.0×	20 0.9×	42 3.5×	11 1.0×	5	256
Shuheng Wu China	6	258 1.0×	192 1.1×	14 0.6×	33 2.8×	10 0.9×	8	295
Xuechao Jiang China	7	166 0.7×	101 0.6×	31 1.4×	22 1.8×	18 1.6×	16	226

Countries citing papers authored by Chun Rao

Since Specialization

Citations

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

Fields of papers citing papers by Chun Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun Rao

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

All Works

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10 of 10 papers shown

1.

Zhu, Yuanting, et al.. (2024). A retrospective cross-sectional study: comparison of the clinicopathological features of schistosomal and non-schistosomal colorectal cancer in Central China. BMC Infectious Diseases. 24(1). 732–732.

2.

Wang, Run, Xuebing Li, Cuiyun Sun, et al.. (2021). The ATPase Pontin is a key cell cycle regulator by amplifying E2F1 transcription response in glioma. Cell Death and Disease. 12(2). 141–141. 11 indexed citations

3.

Rao, Chun, et al.. (2019). Class�C1 decoy oligodeoxynucleotide inhibits profibrotic genes expression in rat hepatic stellate cells. Molecular Medicine Reports. 21(2). 667–674. 3 indexed citations

4.

Zhou, Xuexia, Xuebing Li, Lin Yu, et al.. (2019). The RNA-binding protein SRSF1 is a key cell cycle regulator via stabilizing NEAT1 in glioma. The International Journal of Biochemistry & Cell Biology. 113. 75–86. 41 indexed citations

5.

Shi, Cuijuan, Chun Rao, Cuiyun Sun, et al.. (2018). miR-29s function as tumor suppressors in gliomas by targeting TRAF4 and predict patient prognosis. Cell Death and Disease. 9(11). 1078–1078. 17 indexed citations

6.

Liu, Jing, Jie Yang, Lin Yu, et al.. (2018). miR-361-5p inhibits glioma migration and invasion by targeting SND1. OncoTargets and Therapy. Volume 11. 5239–5252. 22 indexed citations

7.

Zhou, Xuexia, Run Wang, Xuebing Li, et al.. (2018). Splicing factor SRSF1 promotes gliomagenesis via oncogenic splice-switching of MYO1B. Journal of Clinical Investigation. 129(2). 676–693. 109 indexed citations

8.

Luo, Wenjun, Cuiyun Sun, Junhu Zhou, et al.. (2018). miR-135a-5p Functions as a Glioma Proliferation Suppressor by Targeting Tumor Necrosis Factor Receptor–Associated Factor 5 and Predicts Patients' Prognosis. American Journal Of Pathology. 189(1). 162–176. 19 indexed citations

9.

Shi, Cuijuan, Linlin Ren, Cuiyun Sun, et al.. (2017). miR-29a/b/c function as invasion suppressors for gliomas by targeting CDC42 and predict the prognosis of patients. British Journal of Cancer. 117(7). 1036–1047. 50 indexed citations

10.

Jia, Dongyu, et al.. (2016). SP1 and UTE1 Decoy ODNs inhibit activation and proliferation of hepatic stellate cells by targeting tissue inhibitors of metalloproteinase 1. Cell & Bioscience. 6(1). 31–31. 4 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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