Chengming Zhu

691 total citations
22 papers, 402 citations indexed

About

Chengming Zhu is a scholar working on Molecular Biology, Aging and Plant Science. According to data from OpenAlex, Chengming Zhu has authored 22 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Aging and 4 papers in Plant Science. Recurrent topics in Chengming Zhu's work include RNA Research and Splicing (12 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and RNA modifications and cancer (7 papers). Chengming Zhu is often cited by papers focused on RNA Research and Splicing (12 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers) and RNA modifications and cancer (7 papers). Chengming Zhu collaborates with scholars based in China, Czechia and United States. Chengming Zhu's co-authors include Shouhong Guang, Xuezhu Feng, Xiangyang Chen, Xufei Zhou, Chenchun Weng, Fei Xu, Jiaojiao Ji, Hui Mao, Xiangwei Yang and Hui Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Chengming Zhu

21 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengming Zhu China 11 348 130 68 42 28 22 402
Sarit Smolikove United States 12 287 0.8× 118 0.9× 54 0.8× 23 0.5× 29 1.0× 25 335
Iskra Katic Switzerland 10 292 0.8× 223 1.7× 31 0.5× 10 0.2× 66 2.4× 12 393
Lyudmila I. Kutueva Russia 12 250 0.7× 35 0.3× 242 3.6× 15 0.4× 31 1.1× 16 449
Amelia F. Alessi United States 5 294 0.8× 58 0.4× 57 0.8× 62 1.5× 10 0.4× 5 331
Eric Cornes France 9 208 0.6× 96 0.7× 62 0.9× 24 0.6× 19 0.7× 11 252
Vanessa Brevet France 7 498 1.4× 94 0.7× 93 1.4× 13 0.3× 17 0.6× 7 553
Marina Martínez‐García United States 9 256 0.7× 46 0.4× 142 2.1× 9 0.2× 41 1.5× 16 331
Laura Opperman United States 7 431 1.2× 98 0.8× 27 0.4× 15 0.4× 18 0.6× 8 462
Roberto Perales United States 7 409 1.2× 67 0.5× 52 0.8× 35 0.8× 21 0.8× 7 446
Laura L. Mays Hoopes United States 8 305 0.9× 53 0.4× 47 0.7× 18 0.4× 18 0.6× 14 341

Countries citing papers authored by Chengming Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Chengming Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengming Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengming Zhu. A scholar is included among the top collaborators of Chengming Zhu 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 Chengming Zhu. Chengming Zhu 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.
Li, Kun, Xuezhu Feng, Ke Wang, et al.. (2025). TurboID-based proximity labeling identifies novel germline proteins that maintain E granule integrity and small RNA homeostasis in C. elegans. Science China Life Sciences. 68(12). 3466–3485. 1 indexed citations
2.
Kuang, Yan, Jiewei Cheng, Tongtong Huang, et al.. (2025). The H3K27me3 reader UAD-2 recruits a TAF-12-containing transcription machinery to initiate piRNA expression within heterochromatic clusters. Nature Communications. 16(1). 10538–10538.
3.
Zhu, Chengming, Panpan Xu, Jianing Gao, et al.. (2025). piRNA gene density and SUMOylation organize piRNA transcriptional condensate formation. Nature Structural & Molecular Biology. 32(8). 1503–1516. 1 indexed citations
4.
Feng, Xuezhu, Ke Wang, Xiangyang Chen, et al.. (2025). Peri-centrosomal localization of small interfering RNAs in C. elegans. Science China Life Sciences. 68(4). 895–911. 1 indexed citations
5.
Zhou, Xiaotian, Chenming Zeng, Ting Xu, et al.. (2024). Nucleolar stress induces nucleolar stress body formation via the NOSR-1/NUMR-1 axis in Caenorhabditis elegans. Nature Communications. 15(1). 7256–7256. 1 indexed citations
6.
Chen, Xiangyang, Ke Wang, Chengming Zhu, et al.. (2024). Germ granule compartments coordinate specialized small RNA production. Nature Communications. 15(1). 5799–5799. 15 indexed citations
7.
Huang, Xiaona, Xuezhu Feng, Ke Wang, et al.. (2024). Compartmentalized localization of perinuclear proteins within germ granules in C. elegans. Developmental Cell. 60(8). 1251–1270.e3. 7 indexed citations
8.
Li, Meili, Chengming Zhu, Zheng Xu, et al.. (2024). Structural basis for C. elegans pairing center DNA binding specificity by the ZIM/HIM-8 family proteins. Nature Communications. 15(1). 10355–10355. 2 indexed citations
9.
Xu, Ting, Meng Huang, Chengming Zhu, et al.. (2023). A ZTF-7/RPS-2 complex mediates the cold-warm response in C. elegans. PLoS Genetics. 19(2). e1010628–e1010628. 6 indexed citations
10.
Chen, Xiangyang, Yan Kuang, Ting Xu, et al.. (2023). rRNA intermediates coordinate the formation of nucleolar vacuoles in C. elegans. Cell Reports. 42(8). 112915–112915. 11 indexed citations
11.
Zhu, Chengming, Jianing Gao, Meili Li, et al.. (2023). Systematic characterization of chromodomain proteins reveals an H3K9me1/2 reader regulating aging in C. elegans. Nature Communications. 14(1). 1254–1254. 5 indexed citations
12.
Huang, Meng, et al.. (2022). H3K9me1/2 methylation limits the lifespan of daf-2 mutants in C. elegans. eLife. 11. 14 indexed citations
13.
Zhu, Chengming, Xiangyang Chen, Cheng Sun, et al.. (2022). The SNAPc complex mediates starvation-induced trans-splicing in Caenorhabditis elegans. Journal of genetics and genomics. 49(10). 952–964. 2 indexed citations
14.
Li, Fengcheng, Jie‐Jie Chen, Chengming Zhu, et al.. (2021). Mechanical Insights into Thiol-Mediated Synergetic Biotransformation of Cadmium and Selenium in Nematodes. Environmental Science & Technology. 55(11). 7531–7540. 16 indexed citations
15.
Wang, Yun, Chenchun Weng, Xiangyang Chen, et al.. (2020). CDE-1 suppresses the production of risiRNA by coupling polyuridylation and degradation of rRNA. BMC Biology. 18(1). 115–115. 11 indexed citations
16.
Yan, Qi, Chengming Zhu, Shouhong Guang, & Xuezhu Feng. (2019). The Functions of Non-coding RNAs in rRNA Regulation. Frontiers in Genetics. 10. 290–290. 36 indexed citations
17.
Zhu, Chengming, Yan Qi, Chenchun Weng, et al.. (2018). Erroneous ribosomal RNAs promote the generation of antisense ribosomal siRNA. Proceedings of the National Academy of Sciences. 115(40). 10082–10087. 40 indexed citations
18.
Mao, Hui, Chengming Zhu, Dandan Zong, et al.. (2015). The Nrde Pathway Mediates Small-RNA-Directed Histone H3 Lysine 27 Trimethylation in Caenorhabditis elegans. Current Biology. 25(18). 2398–2403. 89 indexed citations
19.
Chen, Xiangyang, Fei Xu, Chengming Zhu, et al.. (2014). Dual sgRNA-directed gene knockout using CRISPR/Cas9 technology in Caenorhabditis elegans. Scientific Reports. 4(1). 7581–7581. 111 indexed citations
20.
Zhu, Chengming, et al.. (2001). [Post-transcriptional gene silencing and virus resistance].. PubMed. 17(3). 231–5. 1 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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