Cheng Sun

623 total citations
13 papers, 467 citations indexed

About

Cheng Sun is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Cheng Sun has authored 13 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Cheng Sun's work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers) and MicroRNA in disease regulation (3 papers). Cheng Sun is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers) and MicroRNA in disease regulation (3 papers). Cheng Sun collaborates with scholars based in China, United States and Japan. Cheng Sun's co-authors include Heying Zhang, Lufeng Zheng, Guojing Ruan, Tao Xi, Yingying Xing, Hai Qin, Yichen Liu, Haiwei Ni, Huawei Zou and Qianqian Guo and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Medicine and Oncotarget.

In The Last Decade

Cheng Sun

12 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Sun China 9 327 307 138 61 36 13 467
Fenfang Zhou China 13 313 1.0× 167 0.5× 126 0.9× 74 1.2× 41 1.1× 29 445
Xihu Qin China 13 309 0.9× 228 0.7× 60 0.4× 56 0.9× 36 1.0× 32 448
Yuxi Ou China 13 332 1.0× 229 0.7× 80 0.6× 68 1.1× 57 1.6× 29 459
Dengyan Zhu China 15 393 1.2× 301 1.0× 102 0.7× 118 1.9× 74 2.1× 32 605
Sanni E. Jalava Finland 9 643 2.0× 560 1.8× 147 1.1× 42 0.7× 25 0.7× 9 820
Yingzhun Chen China 9 289 0.9× 210 0.7× 170 1.2× 46 0.8× 40 1.1× 13 481
Masha Huang China 12 377 1.2× 238 0.8× 89 0.6× 88 1.4× 23 0.6× 23 478
Yuanda Liu China 7 373 1.1× 307 1.0× 62 0.4× 67 1.1× 42 1.2× 11 560
Manqing Cao China 11 421 1.3× 309 1.0× 57 0.4× 125 2.0× 31 0.9× 17 601

Countries citing papers authored by Cheng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Sun

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

All Works

13 of 13 papers shown
1.
Sun, Cheng, et al.. (2024). Dry processes to form fine features on advanced substrates. 523–526.
2.
Du, Lin, et al.. (2022). CircPIM3 regulates taxol resistance in non-small cell lung cancer via miR-338-3p/TNFAIP8 axis. Anti-Cancer Drugs. 34(1). 115–125. 10 indexed citations
3.
Ni, Haiwei, Hai Qin, Cheng Sun, et al.. (2021). MiR-375 reduces the stemness of gastric cancer cells through triggering ferroptosis. Stem Cell Research & Therapy. 12(1). 325–325. 137 indexed citations
4.
Li, Yuexian, et al.. (2021). ITGB1 enhances the Radioresistance of human Non-small Cell Lung Cancer Cells by modulating the DNA damage response and YAP1-induced Epithelial-mesenchymal Transition. International Journal of Biological Sciences. 17(2). 635–650. 59 indexed citations
5.
Ni, Haiwei, Guojing Ruan, Cheng Sun, et al.. (2021). Tanshinone IIA inhibits gastric cancer cell stemness through inducing ferroptosis. Environmental Toxicology. 37(2). 192–200. 59 indexed citations
6.
Li, Yuexian, et al.. (2020). Transcription levels and prognostic significance of the NFI family members in human cancers. PeerJ. 8. e8816–e8816. 17 indexed citations
8.
Sun, Cheng, et al.. (2019). A novel role for NFIA in restoring radiosensitivity in radioresistant NSCLC cells by downregulating the AKT and ERK pathways. Biochemical and Biophysical Research Communications. 515(4). 558–564. 8 indexed citations
9.
Sun, Cheng, Lining Huang, Zhenglong Li, et al.. (2018). Long non-coding RNA MIAT in development and disease: a new player in an old game. Journal of Biomedical Science. 25(1). 23–23. 93 indexed citations
10.
Zhang, Heying, Juan Zeng, Yongqiang Tan, et al.. (2018). Subgroup analysis reveals molecular heterogeneity and provides potential precise treatment for pancreatic cancers. OncoTargets and Therapy. Volume 11. 5811–5819. 1 indexed citations
11.
Zeng, Juan, et al.. (2018). Aggregation of lipid rafts activates c-met and c-Src in non-small cell lung cancer cells. BMC Cancer. 18(1). 611–611. 30 indexed citations
12.
Yin, Hongzhuan, Heying Zhang, Jun Fang, et al.. (2015). Sp1-driven up-regulation of miR-19a decreases RHOB and promotes pancreatic cancer. Oncotarget. 6(19). 17391–17403. 44 indexed citations
13.
Wang, Hao, et al.. (2013). Identification of Regulatory Relationships in Parkinson's Disease. Journal of Molecular Neuroscience. 51(1). 9–12. 7 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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