Renyue Wei

490 total citations
21 papers, 360 citations indexed

About

Renyue Wei is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Renyue Wei has authored 21 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Genetics. Recurrent topics in Renyue Wei's work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (10 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Renyue Wei is often cited by papers focused on Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (10 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Renyue Wei collaborates with scholars based in China, United States and South Korea. Renyue Wei's co-authors include Liu Z, Gerelchimeg Bou, Bingteng Xie, Jingyu Li, Binghua Xue, Qingran Kong, Shichao Liu, Xiaogang Weng, Heng Zhang and Yu Zhang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Renyue Wei

21 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renyue Wei China 10 317 89 69 60 42 21 360
Fei Sang United Kingdom 11 282 0.9× 50 0.6× 28 0.4× 46 0.8× 67 1.6× 23 385
Adrian Janiszewski Belgium 10 250 0.8× 31 0.3× 49 0.7× 54 0.9× 21 0.5× 13 332
Daniel Spindlow United Kingdom 5 583 1.8× 97 1.1× 82 1.2× 58 1.0× 14 0.3× 6 646
Simon-Pierre Demers Canada 7 358 1.1× 44 0.5× 78 1.1× 65 1.1× 8 0.2× 10 406
Doris Klisch United Kingdom 8 460 1.5× 108 1.2× 66 1.0× 129 2.1× 17 0.4× 8 512
Smita Sudheer Germany 8 364 1.1× 140 1.6× 36 0.5× 107 1.8× 53 1.3× 12 462
Stanley E. Strawbridge United Kingdom 4 296 0.9× 55 0.6× 32 0.5× 21 0.3× 20 0.5× 8 337
Anastasiya Sybirna United Kingdom 5 326 1.0× 83 0.9× 40 0.6× 104 1.7× 15 0.4× 6 358
Lisa K. Iwamoto-Stohl United Kingdom 4 227 0.7× 65 0.7× 15 0.2× 40 0.7× 19 0.5× 4 303
Ming Cang China 9 234 0.7× 28 0.3× 50 0.7× 147 2.5× 26 0.6× 21 320

Countries citing papers authored by Renyue Wei

Since Specialization
Citations

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

Fields of papers citing papers by Renyue Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renyue Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Renyue Wei. A scholar is included among the top collaborators of Renyue Wei 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 Renyue Wei. Renyue Wei 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.
Wei, Renyue, et al.. (2025). A long noncoding RNA with enhancer-like function in pig zygotic genome activation. Journal of Molecular Cell Biology. 17(1). 2 indexed citations
2.
Li, Yan, et al.. (2023). Comparing bacterial dynamics for the conversion of organics and humus components during manure composting from different sources. Frontiers in Microbiology. 14. 1281633–1281633. 9 indexed citations
3.
Peng, Jinyu, Shuang Gao, Yanlong Zhu, et al.. (2023). SINE‐Associated LncRNA SAWPA Regulates Porcine Zygotic Genome Activation. Advanced Science. 11(2). 5 indexed citations
4.
Yu, Yang, et al.. (2022). Derivation and Characterization of Endothelial Cells from Porcine Induced Pluripotent Stem Cells. International Journal of Molecular Sciences. 23(13). 7029–7029. 5 indexed citations
5.
Yu, Yang, et al.. (2021). In vitro and in vivo study on angiogenesis of porcine induced pluripotent stem cell-derived endothelial cells. Differentiation. 120. 10–18. 8 indexed citations
6.
Bou, Gerelchimeg, Jia Guo, Fang Yuan, et al.. (2021). Interspecies cell fusion between mouse embryonic stem cell and porcine pluripotent cell. Reproduction in Domestic Animals. 56(8). 1095–1103. 1 indexed citations
7.
Li, Yan, Shuang Wu, Yang Yu, et al.. (2020). Derivation of porcine extraembryonic endoderm‐like cells from blastocysts. Cell Proliferation. 53(4). e12782–e12782. 10 indexed citations
8.
Wu, Shuang, Renyue Wei, Yan Li, et al.. (2019). The length of guide RNA and target DNA heteroduplex effects on CRISPR/Cas9 mediated genome editing efficiency in porcine cells. Journal of Veterinary Science. 20(3). e23–e23. 12 indexed citations
9.
Wei, Renyue, Yan Li, Qianqian Xu, et al.. (2019). Derivation of endothelial cells from porcine induced pluripotent stem cells by optimized single layer culture system. Journal of Veterinary Science. 21(1). e9–e9. 6 indexed citations
10.
Kong, Qingran, Bingteng Xie, Heng Zhang, et al.. (2016). RE1-silencing Transcription Factor (REST) Is Required for Nuclear Reprogramming by Inhibiting Transforming Growth Factor β Signaling Pathway. Journal of Biological Chemistry. 291(53). 27334–27342. 6 indexed citations
11.
Wang, Jiaqiang, Xin Li, Leyun Wang, et al.. (2016). A novel long intergenic noncoding RNA indispensable for the cleavage of mouse two‐cell embryos. EMBO Reports. 17(10). 1452–1470. 58 indexed citations
12.
Xue, Binghua, Yan Li, Yilong He, et al.. (2016). Porcine Pluripotent Stem Cells Derived from IVF Embryos Contribute to Chimeric Development In Vivo. PLoS ONE. 11(3). e0151737–e0151737. 35 indexed citations
13.
Zhang, Yu, et al.. (2015). bFGF signaling-mediated reprogramming of porcine primordial germ cells. Cell and Tissue Research. 364(2). 429–441. 9 indexed citations
14.
Zhang, Yu, Hai Li, Renyue Wei, et al.. (2015). Endothelial Cells Regulate Cardiac Myocyte Reorganisation Through β1-Integrin Signalling. Cellular Physiology and Biochemistry. 35(5). 1808–1820. 14 indexed citations
15.
Xie, Bingteng, Heng Zhang, Renyue Wei, et al.. (2015). Histone H3 lysine 27 trimethylation acts as an epigenetic barrier in porcine nuclear reprogramming. Reproduction. 151(1). 9–16. 60 indexed citations
16.
Liu, Shichao, Gerelchimeg Bou, Shimeng Guo, et al.. (2015). Sox2 is the faithful marker for pluripotency in pig: Evidence from embryonic studies. Developmental Dynamics. 244(4). 619–627. 55 indexed citations
17.
18.
Wang, Jianyu, Renyue Wei, Gerelchimeg Bou, & Liu Z. (2014). Tbx3 and Nr5α2 improve the viability of porcine induced pluripotent stem cells after dissociation into single cells by inhibiting RHO-ROCK-MLC signaling. Biochemical and Biophysical Research Communications. 456(3). 743–749. 8 indexed citations
19.
Kong, Qingran, Bingteng Xie, Jingyu Li, et al.. (2014). Identification and Characterization of an Oocyte Factor Required for Porcine Nuclear Reprogramming. Journal of Biological Chemistry. 289(10). 6960–6968. 18 indexed citations
20.
Wang, Jianyu, Qi Gu, Jie Hao, et al.. (2013). Tbx3 and Nr5α2 Play Important Roles in Pig Pluripotent Stem Cells. Stem Cell Reviews and Reports. 9(5). 700–708. 23 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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