De Cheng

676 total citations
23 papers, 513 citations indexed

About

De Cheng is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, De Cheng has authored 23 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Physiology and 3 papers in Surgery. Recurrent topics in De Cheng's work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (11 papers) and Telomeres, Telomerase, and Senescence (8 papers). De Cheng is often cited by papers focused on Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (11 papers) and Telomeres, Telomerase, and Senescence (8 papers). De Cheng collaborates with scholars based in China and United States. De Cheng's co-authors include Huayan Wang, Jiyue Zhu, Yuanjun Zhao, Xing Gao, Shuwen Wang, Fan Zhang, Yajun Liu, Xiaoling Ma, Shuwen Wang and Yi Gao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

De Cheng

23 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
De Cheng China 14 377 117 116 99 89 23 513
Guangzhen Ji China 12 440 1.2× 75 0.6× 189 1.6× 72 0.7× 94 1.1× 18 622
Erica Yada Japan 12 306 0.8× 73 0.6× 85 0.7× 41 0.4× 17 0.2× 17 387
JW Shay United States 5 216 0.6× 37 0.3× 380 3.3× 56 0.6× 34 0.4× 6 548
Fabrizio Di Giuseppe Italy 13 195 0.5× 89 0.8× 70 0.6× 21 0.2× 89 1.0× 26 521
Jiameng Dan China 13 549 1.5× 57 0.5× 123 1.1× 76 0.8× 37 0.4× 20 614
Buhe Nashun China 11 788 2.1× 38 0.3× 28 0.2× 125 1.3× 117 1.3× 19 913
Justyna Józefczuk Germany 11 484 1.3× 93 0.8× 61 0.5× 80 0.8× 14 0.2× 11 651
Joseph Chen Australia 10 443 1.2× 94 0.8× 40 0.3× 36 0.4× 65 0.7× 22 690
Deqiang Ding China 12 466 1.2× 29 0.2× 214 1.8× 81 0.8× 16 0.2× 24 682
Congshan Sun United States 12 334 0.9× 49 0.4× 64 0.6× 39 0.4× 58 0.7× 14 526

Countries citing papers authored by De Cheng

Since Specialization
Citations

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

Fields of papers citing papers by De Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of De Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of De Cheng. A scholar is included among the top collaborators of De 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 De Cheng. De 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.
Zhang, Fan, De Cheng, Kenneth I. Porter, et al.. (2025). Modification of the telomerase gene with human regulatory sequences resets mouse telomeres to human length. Nature Communications. 16(1). 1211–1211. 2 indexed citations
2.
Xu, Tao, De Cheng, Yuanjun Zhao, et al.. (2021). Polymorphic tandem DNA repeats activate the human telomerase reverse transcriptase gene. Proceedings of the National Academy of Sciences. 118(26). 7 indexed citations
3.
Cheng, De, Yuanjun Zhao, Fan Zhang, et al.. (2019). Engineering a humanized telomerase reverse transcriptase gene in mouse embryonic stem cells. Scientific Reports. 9(1). 9683–9683. 11 indexed citations
4.
Cheng, De, Shuwen Wang, Wenwen Jia, et al.. (2017). Regulation of human and mouse telomerase genes by genomic contexts and transcription factors during embryonic stem cell differentiation. Scientific Reports. 7(1). 16444–16444. 16 indexed citations
5.
Huang, Ri‐Bo, De Cheng, Si-Ming Liao, et al.. (2017). The Intrinsic Relationship Between Structure and Function of the Sialyltransferase ST8Sia Family Members. Current Topics in Medicinal Chemistry. 17(21). 2359–2369. 31 indexed citations
6.
Zhang, Fan, De Cheng, Shuwen Wang, & Jiyue Zhu. (2016). Human Specific Regulation of the Telomerase Reverse Transcriptase Gene. Genes. 7(7). 30–30. 30 indexed citations
7.
Cheng, De, Yuanjun Zhao, Shuwen Wang, et al.. (2015). Human Telomerase Reverse Transcriptase (hTERT) Transcription Requires Sp1/Sp3 Binding to the Promoter and a Permissive Chromatin Environment. Journal of Biological Chemistry. 290(50). 30193–30203. 18 indexed citations
8.
Zhao, Yuanjun, De Cheng, Shuwen Wang, & Jiyue Zhu. (2014). Dual roles of c-Myc in the regulation of hTERT gene. Nucleic Acids Research. 42(16). 10385–10398. 48 indexed citations
9.
Yang, Fan, Jinglong Zhang, Yajun Liu, De Cheng, & Huayan Wang. (2014). Structure and functional evaluation of porcine NANOG that is a single-exon gene and has two pseudogenes. The International Journal of Biochemistry & Cell Biology. 59. 142–152. 12 indexed citations
10.
Gao, Yi, et al.. (2013). Optimization of Culture Conditions for Maintaining Porcine Induced Pluripotent Stem Cells. DNA and Cell Biology. 33(1). 1–11. 27 indexed citations
11.
Liu, Yajun, Yangyang Ma, Jeong‐Yeh Yang, et al.. (2013). Comparative Gene Expression Signature of Pig, Human and Mouse Induced Pluripotent Stem Cell Lines Reveals Insight into Pig Pluripotency Gene Networks. Stem Cell Reviews and Reports. 10(2). 162–176. 31 indexed citations
12.
Cheng, De, Zhenzhen Li, Yajun Liu, Yi Gao, & Huayan Wang. (2012). Kinetic Analysis of Porcine Fibroblast Reprogramming Toward Pluripotency by Defined Factors. Cellular Reprogramming. 14(4). 312–323. 14 indexed citations
13.
Li, Jia, et al.. (2012). The virtual element in proximal promoter of porcine myostatin is regulated by myocyte enhancer factor 2C. Biochemical and Biophysical Research Communications. 419(2). 175–181. 9 indexed citations
14.
Cheng, De, Yanjie Guo, Zhenzhen Li, et al.. (2012). Porcine Induced Pluripotent Stem Cells Require LIF and Maintain Their Developmental Potential in Early Stage of Embryos. PLoS ONE. 7(12). e51778–e51778. 60 indexed citations
15.
Hu, Jianhong, et al.. (2012). Vitamin C Enhances the In vitro Development of Porcine Pre‐implantation Embryos by Reducing Oxidative Stress. Reproduction in Domestic Animals. 47(6). 873–879. 57 indexed citations
16.
Li, Jia, Jie Deng, Junlin Zhang, De Cheng, & Huayan Wang. (2012). [Regulation of myostatin promoter activity by myocyte enhancer factor 2].. PubMed. 28(8). 918–26. 3 indexed citations
17.
Liu, Yajun, De Cheng, Zhenzhen Li, Xing Gao, & Huayan Wang. (2012). The gene expression profiles of induced pluripotent stem cells (iPSCs) generated by a non-integrating method are more similar to embryonic stem cells than those of iPSCs generated by an integrating method. Genetics and Molecular Biology. 35(3). 693–700. 16 indexed citations
18.
Jia, Wenwen, De Cheng, Shuai Chen, Lei Lei, & Huayan Wang. (2011). Retinoic acid induces myoblasts transdifferentiation into premeiotic Stra8-positive cells. Cell Biology International. 35(4). 365–372. 8 indexed citations
19.
Ma, Xiaoling, Wei Li, De Cheng, et al.. (2011). Insulin–transferrin–selenium (ITS) improves maturation of porcine oocytes in vitro. Zygote. 19(3). 191–197. 28 indexed citations
20.
Chen, Jiahuan, et al.. (2011). Isolation and Characterization of Porcine Amniotic Fluid-Derived Multipotent Stem Cells. PLoS ONE. 6(5). e19964–e19964. 57 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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