Chengchen Zhao

409 total citations
19 papers, 260 citations indexed

About

Chengchen Zhao is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Chengchen Zhao has authored 19 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Infectious Diseases. Recurrent topics in Chengchen Zhao's work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (8 papers) and Single-cell and spatial transcriptomics (5 papers). Chengchen Zhao is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (8 papers) and Single-cell and spatial transcriptomics (5 papers). Chengchen Zhao collaborates with scholars based in China and United States. Chengchen Zhao's co-authors include Yong Zhang, Shengen Shawn Hu, Shaorong Gao, Xiao Huo, Yixuan Wang, Yan Bi, Yiying Zhang, Yuxi Sun, Hong Wang and Zhenzhen Hou and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Chengchen Zhao

17 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengchen Zhao China	8	209	53	35	29	19	19	260
Hannah K. Neikes Netherlands	9	231 1.1×	49 0.9×	24 0.7×	36 1.2×	18 0.9×	11	292
Elisabetta Ercole Italy	5	126 0.6×	66 1.2×	23 0.7×	43 1.5×	25 1.3×	6	192
Kati Tarkkonen Finland	8	158 0.8×	29 0.5×	14 0.4×	47 1.6×	12 0.6×	11	199
Nienke de Vries Netherlands	4	129 0.6×	43 0.8×	29 0.8×	41 1.4×	9 0.5×	5	177
Kendra K. Maaß Germany	7	231 1.1×	111 2.1×	18 0.5×	44 1.5×	15 0.8×	19	307
Weihai Ning China	10	145 0.7×	94 1.8×	39 1.1×	48 1.7×	16 0.8×	33	251
Marion Bähr Germany	5	155 0.7×	40 0.8×	11 0.3×	25 0.9×	15 0.8×	5	198
Marianna Avitabile Italy	11	173 0.8×	146 2.8×	23 0.7×	60 2.1×	18 0.9×	15	293
Melissa Johnson United States	6	84 0.4×	71 1.3×	22 0.6×	52 1.8×	15 0.8×	10	204
Krishna M. Talasila Norway	6	67 0.3×	35 0.7×	52 1.5×	30 1.0×	27 1.4×	12	149

Countries citing papers authored by Chengchen Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Chengchen Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengchen Zhao

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Shi, Bingbo, Xiaonan Guo, Dong Liu, et al.. (2026). Generating high-quality porcine iPSCs with the new medium cocktail LACID. Stem Cell Reports. 21(3). 102790–102790.

Zhao, Chengchen, et al.. (2025). Innovative Approaches to Combat Duck Viral Hepatitis: Dual-Specific Anti-DHAV-1 and DHAV-3 Yolk Antibodies. Vaccines. 13(2). 154–154.

Huang, Tao, Wei Li, Kaipeng Wang, et al.. (2024). ALKBH5 governs human endoderm fate by regulating the DKK1/4-mediated Wnt/β-catenin activation. Nucleic Acids Research. 52(18). 10879–10896. 6 indexed citations

Kuang, Junqi, Qiannan Wang, Yue Qin, et al.. (2024). Cpt1a Drives primed-to-naïve pluripotency transition through lipid remodeling. Communications Biology. 7(1). 1223–1223. 4 indexed citations

Liu, Dong, Xiaomin Wang, Junqi Kuang, et al.. (2024). Engineering mouse cell fate controller by rational design. Nature Communications. 15(1). 6200–6200. 1 indexed citations

Xiang, Jinzhu, Hanning Wang, Bingbo Shi, et al.. (2024). Pig blastocyst-like structure models from embryonic stem cells. Cell Discovery. 10(1). 72–72. 10 indexed citations

Xu, Ruimin, Shuang Zhou, Chengchen Zhao, et al.. (2023). Mechanical strain treatment improves nuclear transfer reprogramming efficiency by enhancing chromatin accessibility. Stem Cell Reports. 18(4). 807–816. 4 indexed citations

Li, Chen, Ming Jin, Linlin Wu, et al.. (2023). The NuRD complex cooperates with SALL4 to orchestrate reprogramming. Nature Communications. 14(1). 19 indexed citations

Qian, Maoxiang, Shengqi Zhang, Kejing Chen, et al.. (2022). UdgX-Mediated Uracil Sequencing at Single-Nucleotide Resolution. Journal of the American Chemical Society. 144(3). 1323–1331. 10 indexed citations

10.

Guo, Jingxin, Xiaoying Zhang, Yuxi Sun, et al.. (2021). Single‐cell transcriptomics of LepR‐positive skeletal cells reveals heterogeneous stress‐dependent stem and progenitor pools. The EMBO Journal. 41(4). e108415–e108415. 56 indexed citations

11.

Zhang, Yong, et al.. (2021). GLEANER: a web server for GermLine cycle Expression ANalysis and Epigenetic Roadmap visualization. BMC Bioinformatics. 22(1). 289–289. 1 indexed citations

12.

Zhao, Chengchen, et al.. (2021). CStreet: a computed Cell State trajectory inference method for time-series single-cell RNA sequencing data. Bioinformatics. 37(21). 3774–3780. 7 indexed citations

13.

Bi, Yan, Yanping Zhang, Peng Yang, et al.. (2020). Identification of ALPPL2 as a Naive Pluripotent State-Specific Surface Protein Essential for Human Naive Pluripotency Regulation. Cell Reports. 30(11). 3917–3931.e5. 27 indexed citations

14.

Zhao, Chengchen, Naiqian Zhang, Yalin Zhang, et al.. (2020). A DNA methylation state transition model reveals the programmed epigenetic heterogeneity in human pre-implantation embryos. Genome biology. 21(1). 277–277. 4 indexed citations

15.

Wang, Yixuan, Chengchen Zhao, Zhenzhen Hou, et al.. (2018). Unique molecular events during reprogramming of human somatic cells to induced pluripotent stem cells (iPSCs) at naïve state. eLife. 7. 34 indexed citations

16.

Zhao, Chengchen, Shengen Shawn Hu, Xiao Huo, & Yong Zhang. (2017). Dr.seq2: A quality control and analysis pipeline for parallel single cell transcriptome and epigenome data. PLoS ONE. 12(7). e0180583–e0180583. 24 indexed citations

17.

Hu, Shengen Shawn, et al.. (2017). CAM: A quality control pipeline for MNase-seq data. PLoS ONE. 12(8). e0182771–e0182771. 6 indexed citations

18.

Huo, Xiao, Shengen Shawn Hu, Chengchen Zhao, & Yong Zhang. (2016). Dr.seq: a quality control and analysis pipeline for droplet sequencing. Bioinformatics. 32(14). 2221–2223. 6 indexed citations

19.

Wang, Qixuan, Jinyan Huang, Hanfei Sun, et al.. (2013). CR Cistrome: a ChIP-Seq database for chromatin regulators and histone modification linkages in human and mouse. Nucleic Acids Research. 42(D1). D450–D458. 41 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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