Wenjie Shu

2.6k total citations · 1 hit paper
52 papers, 1.7k citations indexed

About

Wenjie Shu is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Wenjie Shu has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Wenjie Shu's work include RNA Research and Splicing (18 papers), RNA and protein synthesis mechanisms (16 papers) and CRISPR and Genetic Engineering (9 papers). Wenjie Shu is often cited by papers focused on RNA Research and Splicing (18 papers), RNA and protein synthesis mechanisms (16 papers) and CRISPR and Genetic Engineering (9 papers). Wenjie Shu collaborates with scholars based in China, United States and India. Wenjie Shu's co-authors include Xiaochen Bo, Feng Liu, Chao Ren, Shengqi Wang, Hebing Chen, Weizhong Li, Yiming Zhou, Zhi Xie, Chensi Cao and Zhangyi Ouyang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Wenjie Shu

52 papers receiving 1.7k citations

Hit Papers

Deep Learning and Its Applications in Biomedicine 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning and Its Applications in Biomedicine
    2018 404 citations Chensi Cao, Feng Liu et al. Genomics Proteomics & Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenjie Shu China 21 1.2k 231 178 150 141 52 1.7k
Yongchun Zuo China 31 2.1k 1.8× 317 1.4× 93 0.5× 86 0.6× 140 1.0× 127 2.8k
Sung‐Joon Park South Korea 22 828 0.7× 159 0.7× 97 0.5× 99 0.7× 101 0.7× 116 1.4k
André Fujita Brazil 23 714 0.6× 155 0.7× 74 0.4× 107 0.7× 95 0.7× 105 1.8k
Xiaoli Wang China 23 1.1k 0.9× 205 0.9× 95 0.5× 131 0.9× 204 1.4× 84 1.8k
Christof Angermueller United Kingdom 9 2.0k 1.8× 406 1.8× 64 0.4× 245 1.6× 288 2.0× 9 2.7k
Pedro Carmona‐Sáez Spain 24 1.7k 1.4× 562 2.4× 57 0.3× 96 0.6× 194 1.4× 62 2.7k
Jun Igarashi Japan 28 1.1k 0.9× 203 0.9× 36 0.2× 77 0.5× 260 1.8× 101 2.2k
Pegah Khosravi United States 14 316 0.3× 126 0.5× 226 1.3× 439 2.9× 41 0.3× 25 1.3k
Himanshu Arora United States 21 474 0.4× 338 1.5× 61 0.3× 60 0.4× 66 0.5× 87 1.5k
Johann M. Kraus Germany 21 734 0.6× 173 0.7× 82 0.5× 56 0.4× 116 0.8× 55 1.5k

Countries citing papers authored by Wenjie Shu

Since Specialization
Citations

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

Fields of papers citing papers by Wenjie Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjie Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjie Shu. A scholar is included among the top collaborators of Wenjie 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 Wenjie Shu. Wenjie Shu 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.
Yang, Yue, Changguo Chen, Juntao Yang, et al.. (2025). Purine nucleoside phosphorylase dominates Influenza A virus replication and host hyperinflammation through purine salvage. Signal Transduction and Targeted Therapy. 10(1). 191–191. 2 indexed citations
2.
Wei, Dongyi, Yixin Liu, Xingxu Huang, et al.. (2025). AI-guided Cas9 engineering provides an effective strategy to enhance base editing. Molecular Systems Biology. 21(11). 1563–1580. 1 indexed citations
3.
Yang, Sen, Yu Cheng, Wei Han, et al.. (2024). Zero-shot prediction of mutation effects with multimodal deep representation learning guides protein engineering. Cell Research. 34(9). 630–647. 22 indexed citations
4.
Wang, Yuxiang, Yuanlin He, Jie Yuan, et al.. (2024). Maternal KLF17 controls zygotic genome activation by acting as a messenger for RNA Pol II recruitment in mouse embryos. Developmental Cell. 59(5). 613–626.e6. 14 indexed citations
5.
Yu, Wenxia, Min Li, Hongyu Chen, et al.. (2023). A DddA ortholog-based and transactivator-assisted nuclear and mitochondrial cytosine base editors with expanded target compatibility. Molecular Cell. 83(10). 1710–1724.e7. 28 indexed citations
6.
Liu, Feng, Shuhong Huang, Xiaozhou Chen, et al.. (2023). Design of prime-editing guide RNAs with deep transfer learning. Nature Machine Intelligence. 5(11). 1261–1274. 15 indexed citations
7.
Liu, Feng, et al.. (2023). A guidebook of spatial transcriptomic technologies, data resources and analysis approaches. Computational and Structural Biotechnology Journal. 21. 940–955. 43 indexed citations
8.
Li, Mingrui, Chao Ren, Shuai Zhou, et al.. (2021). Integrative proteome analysis implicates aberrant RNA splicing in impaired developmental potential of aged mouse oocytes. Aging Cell. 20(10). e13482–e13482. 23 indexed citations
9.
He, Yuanlin, Juncheng Dai, Yiqiang Cui, et al.. (2021). Single‐cell RNA‐Seq reveals a highly coordinated transcriptional program in mouse germ cells during primordial follicle formation. Aging Cell. 20(7). e13424–e13424. 23 indexed citations
10.
Li, Bing, et al.. (2020). Effectiveness comparisons of acupuncture treatments for Bell palsy in adults. Medicine. 99(23). e20252–e20252. 4 indexed citations
11.
Qiao, Yunbo, Chao Ren, Shisheng Huang, et al.. (2020). High-resolution annotation of the mouse preimplantation embryo transcriptome using long-read sequencing. Nature Communications. 11(1). 2653–2653. 27 indexed citations
12.
Hu, Yue, Zhangyi Ouyang, Meijie Qi, et al.. (2020). Oocyte competence is maintained by m6A methyltransferase KIAA1429-mediated RNA metabolism during mouse follicular development. Cell Death and Differentiation. 27(8). 2468–2483. 94 indexed citations
13.
Han, Longsen, Chao Ren, Jun Zhang, Wenjie Shu, & Qiang Wang. (2019). Differential roles of Stella in the modulation of DNA methylation during oocyte and zygotic development. Cell Discovery. 5(1). 9–9. 20 indexed citations
14.
Cao, Chensi, Feng Liu, Wenjie Shu, et al.. (2018). Deep Learning and Its Applications in Biomedicine. Genomics Proteomics & Bioinformatics. 16(1). 17–32. 404 indexed citations breakdown →
15.
Liu, Feng, et al.. (2017). BiRen: predicting enhancers with a deep-learning-based model using the DNA sequence alone. Bioinformatics. 33(13). 1930–1936. 99 indexed citations
16.
Li, Hao, Feng Liu, Chao Ren, Xiaochen Bo, & Wenjie Shu. (2016). Genome-wide identification and characterisation of HOT regions in the human genome. BMC Genomics. 17(1). 733–733. 9 indexed citations
17.
Ni, Ming, Wenjie Shu, Xiaochen Bo, Shengqi Wang, & Songgang Li. (2010). Correlation between sequence conservation and structural thermodynamics of microRNA precursors from human, mouse, and chicken genomes. BMC Evolutionary Biology. 10(1). 329–329. 11 indexed citations
18.
Shu, Wenjie, Xiaochen Bo, Zhiqiang Zheng, & Shengqi Wang. (2007). RSRE: RNA structural robustness evaluator. Nucleic Acids Research. 35(suppl_2). W314–W319. 7 indexed citations
19.
Shu, Wenjie, et al.. (2006). Neural dual particle filter and its application in speech enhancement. 12. 451–454. 3 indexed citations
20.
Bo, Xiaochen, Shaoke Lou, Daochun Sun, et al.. (2006). Selection of antisense oligonucleotides based on multiple predicted target mRNA structures. BMC Bioinformatics. 7(1). 122–122. 10 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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