Yingduan Cheng

1.4k total citations
33 papers, 1.1k citations indexed

About

Yingduan Cheng is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yingduan Cheng has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Yingduan Cheng's work include Epigenetics and DNA Methylation (10 papers), RNA modifications and cancer (7 papers) and Cancer-related gene regulation (7 papers). Yingduan Cheng is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), RNA modifications and cancer (7 papers) and Cancer-related gene regulation (7 papers). Yingduan Cheng collaborates with scholars based in China, United States and Hong Kong. Yingduan Cheng's co-authors include Qian Tao, Pei Liang, Yanyang Tu, Jiong Li, Cun‐Yu Wang, Pengxing Zhang, Nan Liu, Zhen Wang, Peng Deng and Xiangming Ding and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yingduan Cheng

32 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingduan Cheng China 19 815 386 171 122 85 33 1.1k
Ye Song China 18 776 1.0× 507 1.3× 186 1.1× 168 1.4× 134 1.6× 44 1.1k
Hugues Ripoche France 14 653 0.8× 307 0.8× 226 1.3× 108 0.9× 57 0.7× 20 992
Rika Tsuchida Japan 12 572 0.7× 334 0.9× 310 1.8× 100 0.8× 62 0.7× 16 902
Arsen Mikaelyan Russia 10 747 0.9× 381 1.0× 296 1.7× 142 1.2× 45 0.5× 26 1.4k
So Mee Kwon South Korea 18 510 0.6× 337 0.9× 199 1.2× 140 1.1× 28 0.3× 29 892
Shuang Han China 16 793 1.0× 589 1.5× 239 1.4× 85 0.7× 33 0.4× 21 1.1k
Alice Banh United States 12 661 0.8× 441 1.1× 170 1.0× 128 1.0× 32 0.4× 14 1.1k
Mamunur Rashid United Kingdom 14 491 0.6× 220 0.6× 248 1.5× 89 0.7× 37 0.4× 19 817
Hanhua Huang United States 9 595 0.7× 262 0.7× 182 1.1× 95 0.8× 47 0.6× 14 869

Countries citing papers authored by Yingduan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yingduan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingduan Cheng

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

All Works

20 of 20 papers shown
1.
Deng, Peng, Quan Yuan, Yingduan Cheng, et al.. (2021). Loss of KDM4B exacerbates bone-fat imbalance and mesenchymal stromal cell exhaustion in skeletal aging. Cell stem cell. 28(6). 1057–1073.e7. 116 indexed citations
2.
Cheng, Yingduan, Wen Xu, Rong Hu, et al.. (2021). A deep convolutional neural network-based method for laryngeal squamous cell carcinoma diagnosis. Annals of Translational Medicine. 9(24). 1797–1797. 30 indexed citations
3.
Zhang, Yixiang, Yingduan Cheng, Zhaoxia Zhang, et al.. (2020). CDCA2 Inhibits Apoptosis and Promotes Cell Proliferation in Prostate Cancer and Is Directly Regulated by HIF-1α Pathway. Frontiers in Oncology. 10. 725–725. 30 indexed citations
4.
Xu, Xiaoshan, Zhen Wang, Nan Liu, et al.. (2018). Association between SOX9 and CA9 in glioma, and its effects on chemosensitivity to TMZ. International Journal of Oncology. 53(1). 189–202. 31 indexed citations
5.
Zhong, Qi, Jugao Fang, Zhigang Huang, et al.. (2018). A response prediction model for taxane, cisplatin, and 5-fluorouracil chemotherapy in hypopharyngeal carcinoma. Scientific Reports. 8(1). 12675–12675. 15 indexed citations
6.
Li, Jiong, Bo Yu, Peng Deng, et al.. (2017). KDM3 epigenetically controls tumorigenic potentials of human colorectal cancer stem cells through Wnt/β-catenin signalling. Nature Communications. 8(1). 15146–15146. 104 indexed citations
7.
Liu, Hui, Nan Liu, Yingduan Cheng, et al.. (2017). Hexokinase 2 (HK2), the tumor promoter in glioma, is downregulated by miR-218/Bmi1 pathway. PLoS ONE. 12(12). e0189353–e0189353. 39 indexed citations
8.
Tu, Yanyang, Pengxing Zhang, Hongwei Yang, et al.. (2017). The genomic organization and function of IRX1 in tumorigenesis and development. SHILAP Revista de lepidopterología. 3(1). 29–29. 3 indexed citations
9.
Tu, Yanyang, Pengxing Zhang, Hongwei Yang, et al.. (2017). The genomic organization and function of IRX1 in tumorigenesis and development. 3(1). 29–29. 1 indexed citations
10.
11.
Tu, Yanyang, Zhen Wang, Hong Yang, et al.. (2016). The molecular mechanism and regulatory pathways of cancer stem cells. SHILAP Revista de lepidopterología. 2(5). 147–147. 5 indexed citations
12.
Liu, Nan, Zhen Wang, Yingduan Cheng, et al.. (2016). Acylglycerol kinase functions as an oncogene and an unfavorable prognostic marker of human gliomas. Human Pathology. 58. 105–112. 9 indexed citations
13.
Li, Jiong, Xiaohong Chen, Xiangming Ding, et al.. (2013). LATS2 Suppresses Oncogenic Wnt Signaling by Disrupting β-Catenin/BCL9 Interaction. Cell Reports. 5(6). 1650–1663. 63 indexed citations
14.
Li, Lili, Mingfang Ji, Yingduan Cheng, et al.. (2013). FEZF2 , a novel 3p14 tumor suppressor gene, represses oncogene EZH2 and MDM2 expression and is frequently methylated in nasopharyngeal carcinoma. Carcinogenesis. 34(9). 1984–1993. 38 indexed citations
15.
16.
Wang, Shiyan, Yingduan Cheng, Wan Du, et al.. (2012). Zinc-finger protein 545 is a novel tumour suppressor that acts by inhibiting ribosomal RNA transcription in gastric cancer. Gut. 62(6). 833–841. 51 indexed citations
17.
Cheng, Yingduan, Hua Geng, Suk Hang Cheng, et al.. (2010). KRAB Zinc Finger Protein ZNF382 Is a Proapoptotic Tumor Suppressor That Represses Multiple Oncogenes and Is Commonly Silenced in Multiple Carcinomas. Cancer Research. 70(16). 6516–6526. 113 indexed citations
18.
Fu, Li, Sui-Sui Dong, Yi-Wu Xie, et al.. (2010). Down-Regulation of Tyrosine Aminotransferase at A Frequently Deleted Region 16Q22 Contributes to the Pathogenesis of Hepatocellular Carcinoma. Hepatology. 51(5). 1624–1634. 50 indexed citations
19.
Cheng, Yingduan, Yuequn Wang, Yanmei Li, et al.. (2006). A novel human gene ZNF415 with five isoforms inhibits AP-1- and p53-mediated transcriptional activity. Biochemical and Biophysical Research Communications. 351(1). 33–39. 17 indexed citations
20.
Zhou, Junmei, Yongqing Li, Pei Liang, et al.. (2005). A novel six-transmembrane protein hhole functions as a suppressor in MAPK signaling pathways. Biochemical and Biophysical Research Communications. 333(2). 344–352. 10 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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