Xu‐Ming Mao

1.8k total citations
67 papers, 1.3k citations indexed

About

Xu‐Ming Mao is a scholar working on Pharmacology, Molecular Biology and Biotechnology. According to data from OpenAlex, Xu‐Ming Mao has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Pharmacology, 49 papers in Molecular Biology and 15 papers in Biotechnology. Recurrent topics in Xu‐Ming Mao's work include Microbial Natural Products and Biosynthesis (51 papers), Genomics and Phylogenetic Studies (17 papers) and Fungal Biology and Applications (12 papers). Xu‐Ming Mao is often cited by papers focused on Microbial Natural Products and Biosynthesis (51 papers), Genomics and Phylogenetic Studies (17 papers) and Fungal Biology and Applications (12 papers). Xu‐Ming Mao collaborates with scholars based in China, United States and Australia. Xu‐Ming Mao's co-authors include Yong‐Quan Li, Shuai Luo, Xin-Ai Chen, Jiangye Chen, Pin Yu, Qing‐Ting Bu, Yi Tang, Chang Su, Haoping Liu and Fang Cao and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Xu‐Ming Mao

66 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu‐Ming Mao China 22 824 788 293 204 191 67 1.3k
Carl J. Balibar United States 18 689 0.8× 604 0.8× 219 0.7× 174 0.9× 125 0.7× 27 1.2k
Sonia I. Maffioli Italy 23 1.1k 1.3× 809 1.0× 253 0.9× 92 0.5× 361 1.9× 54 1.7k
Philipp Krastel Switzerland 19 645 0.8× 511 0.6× 147 0.5× 106 0.5× 235 1.2× 32 1.1k
Marta V. Mendes Portugal 21 857 1.0× 785 1.0× 204 0.7× 238 1.2× 187 1.0× 39 1.2k
Enrico Selva Italy 20 927 1.1× 710 0.9× 169 0.6× 140 0.7× 342 1.8× 44 1.4k
Junji Inokoshi Japan 25 795 1.0× 589 0.7× 312 1.1× 125 0.6× 332 1.7× 48 1.4k
Kay Fowler United Kingdom 6 1.1k 1.3× 1.1k 1.4× 230 0.8× 235 1.2× 273 1.4× 6 1.6k
Melinda A. Ternei United States 20 1.0k 1.2× 810 1.0× 235 0.8× 119 0.6× 100 0.5× 31 1.4k
Brigitte Schlegel Germany 22 608 0.7× 496 0.6× 128 0.4× 168 0.8× 222 1.2× 47 1.2k
Akihiko Fujie Japan 16 471 0.6× 482 0.6× 159 0.5× 117 0.6× 187 1.0× 45 960

Countries citing papers authored by Xu‐Ming Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xu‐Ming Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xu‐Ming Mao. 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 Xu‐Ming Mao. The network helps show where Xu‐Ming Mao may publish in the future.

Co-authorship network of co-authors of Xu‐Ming Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Xu‐Ming Mao. A scholar is included among the top collaborators of Xu‐Ming Mao 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 Xu‐Ming Mao. Xu‐Ming Mao 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.
Wang, Yi & Xu‐Ming Mao. (2025). Mining Silent Biosynthetic Gene Clusters for Natural Products in Filamentous Fungi. Chemistry & Biodiversity. 22(6). e202402715–e202402715. 3 indexed citations
2.
Shen, Xinyuan, Chaojie Zhu, Xutao Liu, et al.. (2023). Engineered bacteria for augmentedin situtumor vaccination. Biomaterials Science. 11(4). 1137–1152. 21 indexed citations
3.
Cao, Fei, Xi Yang, Jintao Cheng, et al.. (2021). A target and efficient synthetic strategy for structural and bioactivity optimization of a fungal natural product. European Journal of Medicinal Chemistry. 229. 114067–114067. 10 indexed citations
4.
Xia, Haiyang, Xiaofang Li, Zhangqun Li, et al.. (2020). The Application of Regulatory Cascades in Streptomyces: Yield Enhancement and Metabolite Mining. Frontiers in Microbiology. 11. 406–406. 59 indexed citations
5.
Chen, Xin-Ai, Xian He, Min Zhang, Xu‐Ming Mao, & Yong‐Quan Li. (2020). An efficient genetic transformation system for Chinese medicine fungus Tolypocladium ophioglossoides. Journal of Microbiological Methods. 176. 106032–106032. 7 indexed citations
6.
Xu, Weifeng, Qingwei Zhao, Shuai Luo, et al.. (2020). Crotonylation of key metabolic enzymes regulates carbon catabolite repression in Streptomyces roseosporus. Communications Biology. 3(1). 192–192. 38 indexed citations
7.
Bu, Qing‐Ting, Yueping Li, Jue Wang, et al.. (2020). Comprehensive dissection of dispensable genomic regions in Streptomyces based on comparative analysis approach. Microbial Cell Factories. 19(1). 99–99. 14 indexed citations
8.
Mao, Xu‐Ming, Shihua Wu, Zhe Zhao, et al.. (2020). Discovery of Three 22-Membered Macrolides by Deciphering the Streamlined Genome of Mangrove-Derived Streptomyces sp. HM190. Frontiers in Microbiology. 11. 1464–1464. 6 indexed citations
9.
Xia, Haiyang, Xinqiao Zhan, Xu‐Ming Mao, & Yong‐Quan Li. (2020). The regulatory cascades of antibiotic production in Streptomyces. World Journal of Microbiology and Biotechnology. 36(1). 13–13. 33 indexed citations
10.
Wang, Kai, Qingwei Zhao, Yifan Liu, et al.. (2019). Multi-Layer Controls of Cas9 Activity Coupled With ATP Synthase Over-Expression for Efficient Genome Editing in Streptomyces. Frontiers in Bioengineering and Biotechnology. 7. 304–304. 19 indexed citations
11.
12.
Shen, Jiejie, Fu Chen, Xiaofang Liu, et al.. (2018). Substrate Specificity of Acyltransferase Domains for Efficient Transfer of Acyl Groups. Frontiers in Microbiology. 9. 1840–1840. 3 indexed citations
13.
Luo, Shuai, Xin-Ai Chen, Xu‐Ming Mao, & Yong‐Quan Li. (2018). Transposon-based identification of a negative regulator for the antibiotic hyper-production in Streptomyces. Applied Microbiology and Biotechnology. 102(15). 6581–6592. 33 indexed citations
14.
Cao, Fei, Jintao Cheng, Xin-Ai Chen, Yong‐Quan Li, & Xu‐Ming Mao. (2018). Development of an efficient genetic system in a gene cluster-rich endophytic fungus Calcarisporium arbuscula NRRL 3705. Journal of Microbiological Methods. 151. 1–6. 10 indexed citations
15.
Mao, Xu‐Ming, Ning Sun, Yang Zheng, & Yong‐Quan Li. (2017). Development of Series of Affinity Tags in Streptomyces. Scientific Reports. 7(1). 6854–6854. 2 indexed citations
16.
Zhu, Zhenhong, Han Li, Pin Yu, et al.. (2016). SlnR is a positive pathway-specific regulator for salinomycin biosynthesis in Streptomyces albus. Applied Microbiology and Biotechnology. 101(4). 1547–1557. 41 indexed citations
17.
Mao, Xu‐Ming, Shuai Luo, Feng Wang, et al.. (2015). Transcriptional Regulation of the Daptomycin Gene Cluster in Streptomyces roseosporus by an Autoregulator, AtrA. Journal of Biological Chemistry. 290(12). 7992–8001. 66 indexed citations
18.
Feng, Weihong, Xu‐Ming Mao, Zhihong Liu, & Yong‐Quan Li. (2011). The ECF sigma factor SigT regulates actinorhodin production in response to nitrogen stress in Streptomyces coelicolor. Applied Microbiology and Biotechnology. 92(5). 1009–1021. 21 indexed citations
19.
20.
Lü, Yang, et al.. (2008). Efg1-mediated Recruitment of NuA4 to Promoters Is Required for Hypha-specific Swi/Snf Binding and Activation in Candida albicans. Molecular Biology of the Cell. 19(10). 4260–4272. 70 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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