Pengcheng Shu

669 total citations
30 papers, 485 citations indexed

About

Pengcheng Shu is a scholar working on Molecular Biology, Cancer Research and Developmental Neuroscience. According to data from OpenAlex, Pengcheng Shu has authored 30 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Cancer Research and 6 papers in Developmental Neuroscience. Recurrent topics in Pengcheng Shu's work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (7 papers) and Epigenetics and DNA Methylation (6 papers). Pengcheng Shu is often cited by papers focused on MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (7 papers) and Epigenetics and DNA Methylation (6 papers). Pengcheng Shu collaborates with scholars based in China, United States and Singapore. Pengcheng Shu's co-authors include Xiaozhong Peng, Boqin Qiang, Bin Yin, Jiangang Yuan, Wei Liu, Yanhua Gong, Hou‐Wen Lin, Xiangbin Ruan, Anne M. Smardon and Eleanor M. Maine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Pengcheng Shu

27 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pengcheng Shu China	10	360	207	60	56	54	30	485
Yidi Wang United States	8	267 0.7×	36 0.2×	36 0.6×	62 1.1×	12 0.2×	14	429
Yakov Peter United States	9	242 0.7×	82 0.4×	53 0.9×	17 0.3×	13 0.2×	17	434
Nina Xie China	8	262 0.7×	31 0.1×	35 0.6×	90 1.6×	19 0.4×	13	334
Xuepei Lei China	11	274 0.8×	65 0.3×	24 0.4×	94 1.7×	4 0.1×	17	422
Ewa Liszewska Poland	13	345 1.0×	39 0.2×	60 1.0×	74 1.3×	5 0.1×	23	543
Wenqi Han China	9	260 0.7×	60 0.3×	27 0.5×	44 0.8×	7 0.1×	23	419
Thalyana Smith-Vikos United States	5	349 1.0×	299 1.4×	129 2.1×	20 0.4×	195 3.6×	9	571
Paula García‐Flores Spain	8	181 0.5×	110 0.5×	81 1.4×	131 2.3×	7 0.1×	9	437
Kyung-Min Noh United States	6	436 1.2×	81 0.4×	39 0.7×	107 1.9×	4 0.1×	6	577
Délara Sabéran‐Djoneidi France	12	279 0.8×	23 0.1×	32 0.5×	35 0.6×	26 0.5×	15	368

Countries citing papers authored by Pengcheng Shu

Since Specialization

Citations

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

Fields of papers citing papers by Pengcheng Shu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengcheng Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengcheng Shu. A scholar is included among the top collaborators of Pengcheng Shu 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 Pengcheng Shu. Pengcheng Shu 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:

20 of 20 papers shown

Wu, Jiarui, Haoyang Yu, Xiaowei Dou, et al.. (2025). Posttranscriptional Control of Neural Progenitors Temporal Dynamics During Neocortical Development by Syncrip. Advanced Science. 12(8). e2411732–e2411732.

Yin, Li, Pengcheng Shu, & Xiaozhong Peng. (2025). Context matters: E3 ligase–ligand pairing strategies for optimized PROTAC performance. Protein & Cell. 1 indexed citations

Liu, Xiao, Chaojuan Yang, Bin Yin, et al.. (2024). DTD1 modulates synaptic efficacy by maintaining D-serine and D-aspartate homeostasis. Science China Life Sciences. 68(2). 467–483. 1 indexed citations

Guo, Yan, Pan Xiang, Xiaojiao Sun, et al.. (2024). Docking protein 6 (DOK6) selectively docks the neurotrophic signaling transduction to restrain peripheral neuropathy. Signal Transduction and Targeted Therapy. 9(1). 32–32. 4 indexed citations

Yuan, Zan, Jiafeng Zhou, Yuan Zhao, et al.. (2024). Temporal transcriptomic dynamics in developing macaque neocortex. eLife. 12. 2 indexed citations

Zhang, Xintian, et al.. (2024). Polypyrimidine Tract-Binding Protein Enhances Zika Virus Translation by Binding to the 5'UTR of Internal Ribosomal Entry Site. Chinese Medical Sciences Journal. 39(3). 162–170. 2 indexed citations

Liu, Yunpeng, Shuaiyao Lu, Yun Yang, et al.. (2024). Analysis of the aging-related biomarker in a nonhuman primate model using multilayer omics. BMC Genomics. 25(1). 639–639. 1 indexed citations

Ruan, Xiangbin, et al.. (2024). MicroRNA-495 Modulates Neuronal Layer Fate Determination by Targeting Tcf4. International Journal of Biological Sciences. 20(15). 6207–6221. 1 indexed citations

Ma, Zhihua, Ming Wang, Wei Liu, et al.. (2023). N4BP1 mediates RAM domain‐dependent notch signaling turnover during neocortical development. The EMBO Journal. 42(22). e113383–e113383. 7 indexed citations

10.

Fu, Jun, Xiao Liu, Bin Yin, Pengcheng Shu, & Xiaozhong Peng. (2023). NECL2 regulates blood–testis barrier dynamics in mouse testes. Cell and Tissue Research. 392(3). 811–826. 2 indexed citations

11.

Yuan, Zan, Jiafeng Zhou, Yuan Zhao, et al.. (2023). Temporal transcriptomic dynamics in developing macaque neocortex. eLife. 12.

12.

Wang, Xinhuan, Zhihua Ma, Pan Xiang, et al.. (2023). Sirt6 regulates the proliferation of neural precursor cells and cortical neurogenesis in mice. iScience. 27(2). 108706–108706. 2 indexed citations

13.

Liu, Xiao, Geng Hu, Bin Yin, et al.. (2023). Indispensable role of Nectin‐like 4 in regulating synapse‐related molecules, synaptic structure, and individual behavior. The FASEB Journal. 37(6). e22970–e22970. 2 indexed citations

14.

Zhou, Jiafeng, Zhihua Ma, Liang Li, et al.. (2022). The Ash2l SDI Domain Is Required to Maintain the Stability and Binding of DPY30. Cells. 11(9). 1450–1450.

15.

Wu, Jiarui, Haoyang Yu, Hao Huang, Pengcheng Shu, & Xiaozhong Peng. (2021). Functions of noncoding RNAs in glial development. Developmental Neurobiology. 81(7). 877–891. 6 indexed citations

16.

Wu, Chao, Xiaoling Zhang, Pan Chen, et al.. (2019). MicroRNA-129 modulates neuronal migration by targeting Fmr1 in the developing mouse cortex. Cell Death and Disease. 10(4). 287–287. 28 indexed citations

17.

Shu, Pengcheng, Xiaosu Zhao, Chao Wu, et al.. (2017). MicroRNA-214 modulates neural progenitor cell differentiation by targeting Quaking during cerebral cortex development. Scientific Reports. 7(1). 8014–8014. 38 indexed citations

18.

Pan, Yanfang, Jing Zhang, Wei Liu, et al.. (2013). Dok5 is involved in the signaling pathway of neurotrophin-3 against TrkC-induced apoptosis. Neuroscience Letters. 553. 46–51. 5 indexed citations

19.

Liu, Wei, Pengcheng Shu, Bin Yin, et al.. (2010). MicroRNA-16 targets amyloid precursor protein to potentially modulate Alzheimer's-associated pathogenesis in SAMP8 mice. Neurobiology of Aging. 33(3). 522–534. 157 indexed citations

20.

Shu, Pengcheng, et al.. (2002). Methyl mercury uptake and associations with the induction of chromosomal aberrations in Chinese hamster ovary (CHO) cells. Chemico-Biological Interactions. 141(3). 259–274. 24 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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