Anming Meng

8.2k total citations
126 papers, 5.2k citations indexed

About

Anming Meng is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Anming Meng has authored 126 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Molecular Biology, 42 papers in Cell Biology and 20 papers in Genetics. Recurrent topics in Anming Meng's work include Developmental Biology and Gene Regulation (41 papers), Congenital heart defects research (30 papers) and Zebrafish Biomedical Research Applications (26 papers). Anming Meng is often cited by papers focused on Developmental Biology and Gene Regulation (41 papers), Congenital heart defects research (30 papers) and Zebrafish Biomedical Research Applications (26 papers). Anming Meng collaborates with scholars based in China, United States and Hong Kong. Anming Meng's co-authors include Shunji Jia, Shuo Lin, Michael J. Farrell, Ye‐Guang Chen, Chengtian Zhao, Jason R. Jessen, Ying Su, Qiaoming Long, Xin‐Hua Feng and Hong Tang and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Anming Meng

124 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anming Meng China 40 3.9k 1.2k 804 570 431 126 5.2k
Raman Sood United States 31 2.7k 0.7× 819 0.7× 714 0.9× 330 0.6× 575 1.3× 92 3.9k
Jing-Ruey Joanna Yeh United States 28 4.8k 1.2× 1.2k 1.0× 1.1k 1.3× 296 0.5× 342 0.8× 48 5.9k
Francesco Argenton Italy 39 3.1k 0.8× 1.2k 1.0× 859 1.1× 440 0.8× 342 0.8× 113 4.8k
Jeroen Bakkers Netherlands 42 4.7k 1.2× 1.5k 1.2× 465 0.6× 541 0.9× 635 1.5× 99 6.0k
Aidas Nasevicius United States 12 2.8k 0.7× 1.6k 1.3× 545 0.7× 370 0.6× 541 1.3× 12 4.0k
Naoki Takeda Japan 38 4.8k 1.2× 1.5k 1.2× 946 1.2× 656 1.2× 936 2.2× 97 7.4k
Adam Amsterdam United States 37 4.8k 1.2× 2.6k 2.1× 1.4k 1.8× 503 0.9× 439 1.0× 56 6.5k
Anne K. Voss Australia 45 4.1k 1.0× 433 0.4× 981 1.2× 553 1.0× 681 1.6× 113 5.6k
Adam Hurlstone United Kingdom 33 3.7k 0.9× 1.3k 1.0× 551 0.7× 731 1.3× 692 1.6× 56 5.1k
Aleš Cvekl United States 50 5.2k 1.3× 714 0.6× 1.1k 1.4× 554 1.0× 227 0.5× 132 6.1k

Countries citing papers authored by Anming Meng

Since Specialization
Citations

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

Fields of papers citing papers by Anming Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anming Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Anming Meng. A scholar is included among the top collaborators of Anming Meng 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 Anming Meng. Anming Meng 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.
Zhang, Weiying, Yaqi Li, Li Han, et al.. (2024). Znf706 regulates germ plasm assembly and primordial germ cell development in zebrafish. Journal of genetics and genomics. 52(5). 666–679.
2.
Liu, Xin, et al.. (2024). Mapping the chromatin accessibility landscape of zebrafish embryogenesis at single-cell resolution by SPATAC-seq. Nature Cell Biology. 26(7). 1187–1199. 3 indexed citations
3.
Djerroudi, Lounes, Rana Mhaidly, Géraldine Gentric, et al.. (2024). 30P E-cadherin inactivation shapes tumor microenvironment specificities in invasive lobular carcinoma. ESMO Open. 9. 103038–103038. 1 indexed citations
4.
Li, Yao, Yun Yan, Qianwen Zheng, et al.. (2024). A Huluwa phosphorylation switch regulates embryonic axis induction. Nature Communications. 15(1). 10028–10028. 2 indexed citations
5.
Meng, Yaping, Tong Lv, Junfeng Zhang, et al.. (2023). Temporospatial inhibition of Erk signaling is required for lymphatic valve formation. Signal Transduction and Targeted Therapy. 8(1). 342–342. 6 indexed citations
6.
Shen, Weimin, Cencan Xing, Lin Zhang, et al.. (2022). Comprehensive maturity of nuclear pore complexes regulates zygotic genome activation. Cell. 185(26). 4954–4970.e20. 33 indexed citations
7.
Xu, Wei, Kunpeng Liu, Zheng Jiang, et al.. (2021). 5′ Half of specific tRNAs feeds back to promote corresponding tRNA gene transcription in vertebrate embryos. Science Advances. 7(47). eabh0494–eabh0494. 32 indexed citations
8.
Yan, Lu, Jing Chen, Xuechen Zhu, et al.. (2018). Maternal Huluwa dictates the embryonic body axis through β-catenin in vertebrates. Science. 362(6417). 56 indexed citations
9.
Sun, Jiawei, Lu Yan, Weimin Shen, & Anming Meng. (2018). Maternal Ybx1 safeguards zebrafish oocyte maturation and maternal-to-zygotic transition by repressing global translation. Development. 145(19). 54 indexed citations
10.
Stainier, Didier Y. R., Erez Raz, Nathan D. Lawson, et al.. (2017). Guidelines for morpholino use in zebrafish. PLoS Genetics. 13(10). e1007000–e1007000. 237 indexed citations
11.
Liu, Zhaoting, et al.. (2016). Fscn1 is required for the trafficking of TGF-β family type I receptors during endoderm formation. Nature Communications. 7(1). 12603–12603. 31 indexed citations
12.
Meng, Anming & David T. Parkin. (2013). Alloparental behaviour in Mute Swans Cygnus olor detected by DNA fingerprinting. Wildfowl (Wildfowl & Wetlands Trust). 310–318.
13.
Ning, Guozhu, Xiuli Liu, Miaomiao Dai, Anming Meng, & Qiang Wang. (2013). MicroRNA-92a Upholds Bmp Signaling by Targeting noggin3 during Pharyngeal Cartilage Formation. Developmental Cell. 24(3). 283–295. 76 indexed citations
14.
Xia, Laixin, Shunji Jia, Shoujun Huang, et al.. (2010). The Fused/Smurf Complex Controls the Fate of Drosophila Germline Stem Cells by Generating a Gradient BMP Response. Cell. 143(6). 978–990. 105 indexed citations
15.
Zhang, Yu, Xiang Li, Jingjing Qi, et al.. (2009). Rock2 controls TGFβ signaling and inhibits mesoderm induction in zebrafish embryos. Journal of Cell Science. 122(13). 2197–2207. 30 indexed citations
16.
Meng, Fanwei, Xuan Cheng, Leilei Yang, et al.. (2008). Accelerated re-epithelialization in Dpr2 -deficient mice is associated with enhanced response to TGFβ signaling. Journal of Cell Science. 121(17). 2904–2912. 28 indexed citations
17.
Sun, Zhihui, Jin Peng, Tian Tian, et al.. (2006). Activation and roles of ALK4/ALK7-mediated maternal TGFβ signals in zebrafish embryo. Biochemical and Biophysical Research Communications. 345(2). 694–703. 37 indexed citations
18.
Penberthy, William Todd, Chengtian Zhao, Yu Zhang, et al.. (2004). Pur alpha and Sp8 as opposing regulators of neural gata2 expression. Developmental Biology. 275(1). 225–234. 22 indexed citations
19.
Li, Ming, Chengtian Zhao, Ying Wang, Zhixing Zhao, & Anming Meng. (2002). Zebrafish sox9b is an early neural crest marker. Development Genes and Evolution. 212(4). 203–206. 56 indexed citations
20.
Zhao, Zhixing, Ying Cao, Ming Li, & Anming Meng. (2001). Double-Stranded RNA Injection Produces Nonspecific Defects in Zebrafish. Developmental Biology. 229(1). 215–223. 103 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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