Shun Ke

498 total citations
11 papers, 385 citations indexed

About

Shun Ke is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Shun Ke has authored 11 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cancer Research and 2 papers in Epidemiology. Recurrent topics in Shun Ke's work include Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (3 papers). Shun Ke is often cited by papers focused on Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (3 papers). Shun Ke collaborates with scholars based in China. Shun Ke's co-authors include Ruichao Li, Minghao Fang, Fankai Meng, Jun Lü, Xiaojing Zou, Zhigang He, Zhi Zhu, Weihong Zheng, Yaping Wang and Xinyi Mu and has published in prestigious journals such as Journal of Lipid Research, Cell Death and Disease and Genomics.

In The Last Decade

Shun Ke

10 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shun Ke China	9	307	265	23	20	19	11	385
Guoyang Zhang China	11	221 0.7×	162 0.6×	31 1.3×	23 1.1×	25 1.3×	20	320
Yongwei Xiao China	5	256 0.8×	152 0.6×	19 0.8×	32 1.6×	9 0.5×	6	330
Sushmaa Chandralekha Selvakumar India	8	279 0.9×	199 0.8×	37 1.6×	31 1.6×	9 0.5×	18	374
Tian Wang China	10	243 0.8×	198 0.7×	26 1.1×	14 0.7×	6 0.3×	18	321
Jiani Guo China	8	248 0.8×	215 0.8×	34 1.5×	13 0.7×	11 0.6×	20	324
Zhe Su China	10	205 0.7×	170 0.6×	18 0.8×	48 2.4×	24 1.3×	16	386
Fushuang Zheng China	9	255 0.8×	219 0.8×	23 1.0×	11 0.6×	10 0.5×	18	309
Wenying Zheng China	10	173 0.6×	83 0.3×	31 1.3×	23 1.1×	15 0.8×	15	298
Lili Yin China	11	178 0.6×	107 0.4×	17 0.7×	26 1.3×	14 0.7×	27	319

Countries citing papers authored by Shun Ke

Since Specialization

Citations

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

Fields of papers citing papers by Shun Ke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Ke

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

All Works

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11 of 11 papers shown

Ke, Shun, et al.. (2025). Hexokinase 2 promotes ISGylation of Acyl-CoA synthetase long-chain family member 4 in sepsis-induced microglia cells. Journal of Lipid Research. 66(4). 100776–100776.

Ke, Shun, et al.. (2023). Long intergenic non-protein coding RNA 00858 participates in the occurrence and development of esophageal squamous cell carcinoma through the activation of the FTO-m6A-MYC axis by recruiting ZNF184. Genomics. 115(3). 110593–110593. 7 indexed citations

Ke, Shun, et al.. (2022). Downregulation of long noncoding RNA breast cancer anti-estrogen resistance 4 inhibits cell proliferation, invasion, and migration in esophageal squamous cell carcinoma by regulating the microRNA-181c-5p/LIM and SH3 protein 1 axis. Bioengineered. 13(5). 12998–13010. 8 indexed citations

Li, Minjie, Ying Li, Yu Deng, et al.. (2021). Fibroblast growth factor 11 (FGF11) promotes non-small cell lung cancer (NSCLC) progression by regulating hypoxia signaling pathway. Journal of Translational Medicine. 19(1). 353–353. 17 indexed citations

Huang, Sufang, et al.. (2020). Implications for Online Management: Two Cases with COVID-19. Telemedicine Journal and e-Health. 26(4). 487–494. 24 indexed citations

Zhang, Jinjun, et al.. (2020). <p>Hsa_circ_0003645 Promotes Breast Cancer Progression by Regulating miR-139-3p/HMGB1 Axis</p>. OncoTargets and Therapy. Volume 13. 10361–10372. 24 indexed citations

Li, Ruichao, Shun Ke, Fankai Meng, et al.. (2018). CiRS-7 promotes growth and metastasis of esophageal squamous cell carcinoma via regulation of miR-7/HOXB13. Cell Death and Disease. 9(8). 838–838. 167 indexed citations

Ke, Shun, Ruichao Li, Fankai Meng, & Minghao Fang. (2018). NKILA inhibits NF-κB signaling and suppresses tumor metastasis. Aging. 10(1). 56–71. 38 indexed citations

Zhu, Zhi, et al.. (2018). Let-7f and miRNA-126 correlate with reduced cardiotoxicity risk in triple-negative breast cancer patients who underwent neoadjuvant chemotherapy.. PubMed. 11(10). 4987–4995. 17 indexed citations

10.

Ke, Shun, et al.. (2017). MicroRNA-192 regulates cell proliferation and cell cycle transition in acute myeloid leukemia via interaction with CCNT2. International Journal of Hematology. 106(2). 258–265. 35 indexed citations

11.

Cui, Chen, Xinyi Mu, Yue Zhou, et al.. (2013). Ginsenoside Rg1 enhances the resistance of hematopoietic stem/progenitor cells to radiation-induced aging in mice. Acta Pharmacologica Sinica. 35(1). 143–150. 48 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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