Jiekai Chen

11.2k total citations
66 papers, 3.1k citations indexed

About

Jiekai Chen is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Jiekai Chen has authored 66 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 7 papers in Plant Science and 7 papers in Biomedical Engineering. Recurrent topics in Jiekai Chen's work include Pluripotent Stem Cells Research (34 papers), CRISPR and Genetic Engineering (27 papers) and Genomics and Chromatin Dynamics (11 papers). Jiekai Chen is often cited by papers focused on Pluripotent Stem Cells Research (34 papers), CRISPR and Genetic Engineering (27 papers) and Genomics and Chromatin Dynamics (11 papers). Jiekai Chen collaborates with scholars based in China, United States and Hong Kong. Jiekai Chen's co-authors include Duanqing Pei, Jing Liu, Lin Guo, Dajiang Qin, Miguel A. Esteban, Jiangping He, Jiaqi Yang, Wen Li, Dongwei Li and You Chen and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jiekai Chen

64 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiekai Chen China 30 2.7k 345 297 276 225 66 3.1k
Yun-Shen Chan Singapore 16 3.0k 1.1× 371 1.1× 288 1.0× 263 1.0× 195 0.9× 25 3.3k
Simon R. Tomlinson United Kingdom 29 2.2k 0.8× 248 0.7× 199 0.7× 242 0.9× 151 0.7× 43 2.8k
Ken Nishimura Japan 24 1.5k 0.6× 310 0.9× 81 0.3× 310 1.1× 240 1.1× 65 2.2k
Fatima El Marjou France 17 1.5k 0.6× 499 1.4× 312 1.1× 256 0.9× 136 0.6× 23 2.5k
Anwarul Ferdous United States 28 2.2k 0.8× 266 0.8× 232 0.8× 230 0.8× 65 0.3× 46 2.9k
Gerrit J.P. Dijkgraaf United States 20 2.4k 0.9× 425 1.2× 359 1.2× 98 0.4× 169 0.8× 21 3.0k
Andrew Wilber United States 28 1.7k 0.6× 556 1.6× 353 1.2× 168 0.6× 86 0.4× 62 2.8k
Andrew P. Hutchins China 27 1.7k 0.6× 195 0.6× 193 0.6× 146 0.5× 59 0.3× 65 2.3k
Joshua Babiarz United States 23 3.2k 1.2× 427 1.2× 2.0k 6.7× 284 1.0× 207 0.9× 38 4.3k
Koji Hisatake Japan 24 2.5k 0.9× 409 1.2× 258 0.9× 123 0.4× 58 0.3× 61 2.8k

Countries citing papers authored by Jiekai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jiekai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiekai Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiekai Chen. A scholar is included among the top collaborators of Jiekai Chen 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 Jiekai Chen. Jiekai Chen 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.
Pan, Mengjie, Kaixuan Lin, Shangtao Cao, et al.. (2025). Spatiotemporal dynamics of neuron differentiation and migration in the developing human spinal cord. Journal of genetics and genomics. 52(10). 1283–1295.
2.
Guo, Lin, Hao Sun, Yanhua Wu, et al.. (2025). Enhanced Activities of OCT4 and SOX2 Promote Epigenetic Reprogramming by Shortening G1 Phase. Advanced Science. 12(32). e15528–e15528. 1 indexed citations
3.
Li, Sa, Jia‐Jie Hao, Guangliang Hong, et al.. (2025). METTL3 inhibits primed-to-naïve transition of pluripotent stem cells through m6A-YTHDF2-pluripotency/Gstp1 mRNA degradation axis. Cell Regeneration. 14(1). 19–19. 1 indexed citations
4.
Shan, Yongli, Yanqi Zhang, Yanxing Wei, et al.. (2024). METTL3/METTL14 maintain human nucleoli integrity by mediating SUV39H1/H2 degradation. Nature Communications. 15(1). 7186–7186. 8 indexed citations
5.
Wu, Kaixin, Sa Li, Guangliang Hong, et al.. (2024). Targeting METTL3 as a checkpoint to enhance T cells for tumour immunotherapy. Clinical and Translational Medicine. 14(11). e70089–e70089. 11 indexed citations
6.
Yuan, Yu, Kaixuan Lin, Haoyu Wu, et al.. (2024). Targeting senescent cells in aging and COVID-19: from cellular mechanisms to therapeutic opportunities. Cell Regeneration. 13(1). 1 indexed citations
7.
Liu, Yanan, Kun Yuan, Guangliang Hong, et al.. (2023). Loss of PHF8 induces a viral mimicry response by activating endogenous retrotransposons. Nature Communications. 14(1). 4225–4225. 16 indexed citations
8.
Qu, Fangfang, Wenjia Li, Jian Xu, et al.. (2023). Three-dimensional molecular architecture of mouse organogenesis. Nature Communications. 14(1). 4599–4599. 11 indexed citations
9.
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
10.
Li, Huanhuan, Jinyi Wu, Jiahui Huang, et al.. (2023). In vitro generation of mouse morula-like cells. Developmental Cell. 58(22). 2510–2527.e7. 12 indexed citations
11.
He, Jiangping, Lihui Lin, & Jiekai Chen. (2022). Practical bioinformatics pipelines for single-cell RNA-seq data analysis. Biophysics Reports. 8(3). 158–169. 5 indexed citations
12.
Lv, Yuan, Chen Bu, Carl Ward, et al.. (2021). Global Profiling of the Lysine Crotonylome in Different Pluripotent States. Genomics Proteomics & Bioinformatics. 19(1). 80–93. 13 indexed citations
13.
Liu, Yuting, Jiangping He, He Liu, et al.. (2021). AP-1 activity is a major barrier of human somatic cell reprogramming. Cellular and Molecular Life Sciences. 78(15). 5847–5863. 5 indexed citations
14.
Pei, Rongjuan, Yecheng Zhang, Hao Sun, et al.. (2020). Host metabolism dysregulation and cell tropism identification in human airway and alveolar organoids upon SARS-CoV-2 infection. Protein & Cell. 12(9). 717–733. 76 indexed citations
15.
Huang, Dehao, Yuxuan Luo, Cui Lv, et al.. (2020). Hematopoietic lineage-converted T cells carrying tumor-associated antigen-recognizing TCRs effectively kill tumor cells. Journal for ImmunoTherapy of Cancer. 8(2). e000498–e000498. 9 indexed citations
16.
Hou, Linlin, Yuanjie Wei, Yingying Lin, et al.. (2020). Concurrent binding to DNA and RNA facilitates the pluripotency reprogramming activity of Sox2. Nucleic Acids Research. 48(7). 3869–3887. 36 indexed citations
17.
Yang, Dan, Xiangzhong Zhang, Yong Dong, et al.. (2015). Enforced expression of Hoxa5 in haematopoietic stem cells leads to aberrant erythropoiesis in vivo. Cell Cycle. 14(4). 612–620. 7 indexed citations
18.
Hu, Xiao, Lei Zhang, Zheng Li, et al.. (2014). Tet and TDG Mediate DNA Demethylation Essential for Mesenchymal-to-Epithelial Transition in Somatic Cell Reprogramming. Cell stem cell. 14(4). 512–522. 237 indexed citations
19.
Chen, Taotao, Shen Li, Jie Yu, et al.. (2011). Rapamycin and other longevity‐promoting compounds enhance the generation of mouse induced pluripotent stem cells. Aging Cell. 10(5). 908–911. 165 indexed citations
20.
Chen, Jiekai, Jing Liu, Dajiang Qin, et al.. (2010). Towards an Optimized Culture Medium for the Generation of Mouse Induced Pluripotent Stem Cells. Journal of Biological Chemistry. 285(40). 31066–31072. 46 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yun-Shen Chan Breakdown of academic impact, for papers by Simon R. Tomlinson Breakdown of academic impact, for papers by Ken Nishimura Breakdown of academic impact, for papers by Fatima El Marjou Breakdown of academic impact, for papers by Anwarul Ferdous Breakdown of academic impact, for papers by Gerrit J.P. Dijkgraaf Breakdown of academic impact, for papers by Andrew Wilber Breakdown of academic impact, for papers by Andrew P. Hutchins Breakdown of academic impact, for papers by Joshua Babiarz Breakdown of academic impact, for papers by Koji Hisatake
Rankless by CCL
2026