Menghua Wu

680 total citations
25 papers, 400 citations indexed

About

Menghua Wu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Cell Biology. According to data from OpenAlex, Menghua Wu has authored 25 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Cell Biology. Recurrent topics in Menghua Wu's work include CRISPR and Genetic Engineering (5 papers), Face recognition and analysis (3 papers) and Natural product bioactivities and synthesis (3 papers). Menghua Wu is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Face recognition and analysis (3 papers) and Natural product bioactivities and synthesis (3 papers). Menghua Wu collaborates with scholars based in China, United States and South Korea. Menghua Wu's co-authors include Guanjun Gao, Zhaoyu Xue, Xuedi Zhang, Junbiao Dai, Jianyong Dong, Lin Chen, Long Li, Mengda Ren, Weimin Zhang and Chao Di and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Menghua Wu

22 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Menghua Wu China	9	274	91	75	70	36	25	400
Zhen‐Xia Chen China	12	295 1.1×	57 0.6×	141 1.9×	44 0.6×	57 1.6×	36	485
Brian D. Aevermann United States	10	297 1.1×	38 0.4×	27 0.4×	31 0.4×	58 1.6×	16	373
Isaac Ho United States	5	344 1.3×	29 0.3×	97 1.3×	11 0.2×	93 2.6×	6	500
Katarzyna Siudeja France	9	312 1.1×	21 0.2×	46 0.6×	42 0.6×	46 1.3×	16	460
Charles Yu United States	9	664 2.4×	58 0.6×	141 1.9×	52 0.7×	171 4.8×	20	814
William J. Rowell United States	9	184 0.7×	33 0.4×	84 1.1×	45 0.6×	44 1.2×	14	347
Mark Woodbridge United Kingdom	4	211 0.8×	11 0.1×	57 0.8×	29 0.4×	42 1.2×	6	312
Trupti Kawli United States	9	307 1.1×	27 0.3×	47 0.6×	29 0.4×	50 1.4×	14	631
Yamei Xiao China	13	275 1.0×	52 0.6×	158 2.1×	5 0.1×	45 1.3×	48	525
Katie J. Clowers United States	8	343 1.3×	29 0.3×	46 0.6×	7 0.1×	50 1.4×	9	399

Countries citing papers authored by Menghua Wu

Since Specialization

Citations

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

Fields of papers citing papers by Menghua Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menghua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Menghua Wu. A scholar is included among the top collaborators of Menghua Wu 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 Menghua Wu. Menghua Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Xi, Lei Chen, Menghua Wu, et al.. (2025). Revealing fire-dependent chemical transformations in Selaginellae Herba via integrated metabolomics and multimodal sensory profiling. Journal of Ethnopharmacology. 356. 120754–120754.

Wang, Xi, Feng Gao, Menghua Wu, et al.. (2025). Multivariate optimization of Selaginellae Herba carbonization processing and its comparative analysis of antioxidant activity between crude and processed products. Journal of Agriculture and Food Research. 22. 102030–102030. 1 indexed citations

Zhang, Xiaoting, Weijie Pan, Wangjun Li, et al.. (2025). Metabolite profiling and ‘dryness’-like effect analysis of ‘Chenpi’ plant tea (Citri Reticulatae Pericarpium peel) with and without steaming peocessing. Food Research International. 206. 116089–116089.

Wu, Menghua, et al.. (2025). Intelligent sensory technologies, NIR spectroscopy and chemometrics combined with machine learning based on multi-source data fusion for comprehensive evaluation of Sinapis Semen in different processing degrees. Journal of Pharmaceutical and Biomedical Analysis. 268. 117212–117212.

Wu, Menghua, et al.. (2024). Quercetin‐4′‐O‐β‐D‐glucopyranoside inhibits podocyte injury by SIRT5‐mediated desuccinylation of NEK7. Clinical and Experimental Pharmacology and Physiology. 51(9). e13909–e13909. 1 indexed citations

Chen, Guoqing, Miao Zhao, Huating Gu, et al.. (2024). Brainstem opioid peptidergic neurons regulate cough reflexes in mice. The Innovation. 5(6). 100721–100721. 1 indexed citations

Wu, Menghua, et al.. (2023). DCX-EMAP is a core organizer for the ultrastructure of Drosophila mechanosensory organelles. The Journal of Cell Biology. 222(10). 3 indexed citations

Li, Dongwei, Lin Guo, Chuman Wu, et al.. (2023). c-Jun as a one-way valve at the naive to primed interface. Cell & Bioscience. 13(1). 191–191. 3 indexed citations

Ju, Peng, et al.. (2023). Broad phosphorylation mediated by testis-specific serine/threonine kinases contributes to spermiogenesis and male fertility. Nature Communications. 14(1). 2629–2629. 19 indexed citations

10.

Zhu, Hao, et al.. (2023). RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 719–727. 5 indexed citations

11.

Liu, Zhen, Menghua Wu, Shao‐Zhen Lin, et al.. (2022). Drosophila mechanical nociceptors preferentially sense localized poking. eLife. 11. 6 indexed citations

12.

Luo, Yu, et al.. (2022). Joint feedback and recurrent deraining network with ensemble learning. The Visual Computer. 38(9-10). 3109–3119. 5 indexed citations

13.

Wu, Menghua, Xuedi Zhang, Wei Wei, et al.. (2020). CRISPR/Cas9 mediated genetic resource for unknown kinase and phosphatase genes in Drosophila. Scientific Reports. 10(1). 7383–7383. 5 indexed citations

14.

Wu, Menghua, et al.. (2019). Semisynthesis of epoxy-pimarane diterpenoids from kirenol and their FXa inhibition activities. Bioorganic & Medicinal Chemistry. 27(7). 1320–1326. 10 indexed citations

15.

Zhang, Weimin, Xuedi Zhang, Zhaoyu Xue, et al.. (2018). Probing the Function of Metazoan Histones with a Systematic Library of H3 and H4 Mutants. Developmental Cell. 48(3). 406–419.e5. 32 indexed citations

16.

Zhang, Weimin, Xuedi Zhang, Zhaoyu Xue, et al.. (2018). Probing the Function of Metazoan Histones with a Systematic Library of H3 and H4 Mutants. SSRN Electronic Journal. 1 indexed citations

17.

Yang, Lijuan, Tuanlin Xiong, Chao Di, et al.. (2016). Critical roles of long noncoding RNAs in Drosophila spermatogenesis. Genome Research. 26(9). 1233–1244. 125 indexed citations

18.

Xue, Zhaoyu, et al.. (2014). CRISPR/Cas9 Mediates Efficient Conditional Mutagenesis inDrosophila. G3 Genes Genomes Genetics. 4(11). 2167–2173. 63 indexed citations

19.

Xue, Zhaoyu, Mengda Ren, Menghua Wu, et al.. (2014). Efficient Gene Knock-out and Knock-in with Transgenic Cas9 in Drosophila. G3 Genes Genomes Genetics. 4(5). 925–929. 50 indexed citations

20.

Chen, Lin, Menghua Wu, & Jianyong Dong. (2012). Quercetin-4′-O-β-D-glucopyranoside (QODG) Inhibits Angiogenesis by Suppressing VEGFR2-Mediated Signaling in Zebrafish and Endothelial Cells. PLoS ONE. 7(2). e31708–e31708. 35 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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