Lijuan Mao

3.5k total citations · 1 hit paper
76 papers, 2.4k citations indexed

About

Lijuan Mao is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Lijuan Mao has authored 76 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 12 papers in Molecular Biology and 12 papers in Pharmacology. Recurrent topics in Lijuan Mao's work include Plant Pathogens and Fungal Diseases (12 papers), Plant-Microbe Interactions and Immunity (9 papers) and Fungal Biology and Applications (8 papers). Lijuan Mao is often cited by papers focused on Plant Pathogens and Fungal Diseases (12 papers), Plant-Microbe Interactions and Immunity (9 papers) and Fungal Biology and Applications (8 papers). Lijuan Mao collaborates with scholars based in China, United States and Denmark. Lijuan Mao's co-authors include Fuzhong Li, Peijie Chen, George P. Nassis, Barbara E. Ainsworth, Peter Harmer, Chu‐Long Zhang, Fu‐Cheng Lin, Xiaoxiao Feng, Zhen-Zhu Su and Baoliang Chen and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Lijuan Mao

73 papers receiving 2.4k citations

Hit Papers

Coronavirus disease (COVID-19): The need to maintain regu... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lijuan Mao China 25 490 479 373 325 229 76 2.4k
Steven J. Bowe Australia 31 391 0.8× 227 0.5× 263 0.7× 101 0.3× 463 2.0× 128 3.7k
Guofang Zhang China 34 490 1.0× 442 0.9× 589 1.6× 134 0.4× 183 0.8× 160 4.4k
Bruce Barrett United States 36 421 0.9× 305 0.6× 298 0.8× 54 0.2× 375 1.6× 111 3.9k
Helen M. Parker Australia 26 100 0.2× 338 0.7× 568 1.5× 135 0.4× 294 1.3× 62 2.5k
Lily Stojanovska Australia 38 656 1.3× 352 0.7× 776 2.1× 60 0.2× 533 2.3× 147 5.2k
Kênia Mara Baiocchi de Carvalho Brazil 22 224 0.5× 292 0.6× 434 1.2× 92 0.3× 442 1.9× 88 1.7k
Brent A. Bauer United States 43 493 1.0× 594 1.2× 485 1.3× 120 0.4× 436 1.9× 245 6.2k
Birinder S. Cheema Australia 30 187 0.4× 92 0.2× 642 1.7× 116 0.4× 230 1.0× 75 2.9k
Acharya Balkrishna India 29 697 1.4× 237 0.5× 239 0.6× 55 0.2× 100 0.4× 214 2.5k
Guixiang Zhao United States 26 402 0.8× 225 0.5× 812 2.2× 130 0.4× 616 2.7× 39 5.0k

Countries citing papers authored by Lijuan Mao

Since Specialization
Citations

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

Fields of papers citing papers by Lijuan Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijuan Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Lijuan Mao. A scholar is included among the top collaborators of Lijuan 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 Lijuan Mao. Lijuan 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.
Li, Meizhi, Mengyi Wang, Lijuan Mao, et al.. (2025). Evaluating dynamic contrast-enhanced MRI for differentiating HER2-zero, HER2-low, and HER2-positive breast cancers in patients undergoing neoadjuvant chemotherapy. European journal of medical research. 30(1). 132–132.
3.
Chen, Shanyi, et al.. (2024). Methyl benzoate-related compounds as potential repellents and fumigants for the control of cigarette beetle, Lasioderma serricorne (F.). Journal of Stored Products Research. 106. 102276–102276.
4.
Yu, Kai, Zhiyuan Yao, Lijuan Mao, et al.. (2023). Toward an intensive understanding of sewer sediment prokaryotic community assembly and function. Frontiers in Microbiology. 14. 1327523–1327523. 1 indexed citations
6.
Zhao, Rui-Lin, Lijuan Mao, & Chu‐Long Zhang. (2023). Three new species of Trichoderma (Hypocreales, Hypocreaceae) from soils in China. MycoKeys. 97. 21–40. 12 indexed citations
7.
Munawar, Asim, et al.. (2022). Heat stress affects potato's volatile emissions that mediate agronomically important trophic interactions. Plant Cell & Environment. 45(10). 3036–3051. 25 indexed citations
8.
Zhen, Li, Lijuan Mao, Peter Krustrup, & Morten B. Randers. (2022). Internal and external load during 8 v 8, 5 v 5 and 3 v 3 in Chinese elite youth male football players. Biology of Sport. 39(4). 1065–1071. 2 indexed citations
9.
Chen, Haijiang, Lijuan Mao, Nan Zhao, et al.. (2021). Verification of TRI3 Acetylation of Trichodermol to Trichodermin in the Plant Endophyte Trichoderma taxi. Frontiers in Microbiology. 12. 731425–731425. 7 indexed citations
10.
Chen, Peijie, Lijuan Mao, George P. Nassis, et al.. (2020). Coronavirus disease (COVID-19): The need to maintain regular physical activity while taking precautions. Journal of sport and health science. 9(2). 103–104. 862 indexed citations breakdown →
11.
Zhu, Xiaomin, Lijuan Mao, & Baoliang Chen. (2019). Driving forces linking microbial community structure and functions to enhanced carbon stability in biochar-amended soil. Environment International. 133(Pt B). 105211–105211. 74 indexed citations
12.
Li, Fuzhong, Lijuan Mao, & Peijie Chen. (2019). Physical activity and prevention of chronic disease in Chinese youth: A public health approach. Journal of sport and health science. 8(6). 512–515. 16 indexed citations
13.
Liu, Xiaohong, Shuang Liang, Yunyun Wei, et al.. (2019). Metabolomics Analysis Identifies Sphingolipids as Key Signaling Moieties in Appressorium Morphogenesis and Function in Magnaporthe oryzae. mBio. 10(4). 35 indexed citations
14.
Wang, Jiaying, Xihui Xu, Lijuan Mao, et al.. (2013). Endophytic Diaporthe from Southeast China are genetically diverse based on multi-locus phylogeny analyses. World Journal of Microbiology and Biotechnology. 30(1). 237–243. 7 indexed citations
15.
Yang, Zhiyun, et al.. (2012). The study and diagnostic value of MRI sequences in patients with trigeminal neuralgia. Zhonghua fangshexian yixue zazhi. 46(1). 37–39. 1 indexed citations
16.
Li, Yi‐Chen, et al.. (2012). In vitro and in vivo antifungal activity of a water‐dilutable cassia oil microemulsion against Geotrichum citri‐aurantii. Journal of the Science of Food and Agriculture. 92(13). 2668–2671. 24 indexed citations
17.
Mao, Lijuan. (2006). Detection of dimethyl fumarate in food by capillary column of gas chromatography. Food Science and Technology International. 1 indexed citations
18.
Liu, Shufang, Jinghe Yang, Xia Wu, et al.. (2004). Study on the interaction between protein and Eu(III)–chlorotetracycline complex and the determination of protein using the fluorimetric method. Luminescence. 19(6). 352–357. 16 indexed citations
19.
Mao, Lijuan. (2002). The Extraction Conditions of Bioflavonids from Kuding Tea. Food Science and Technology International. 1 indexed citations
20.
Mao, Lijuan & Ruyu Chen. (1996). Studies on the Condensation of Highly Hindered α-Amino Methylphosphonates with β-Triphenylgermanyl Propionic Acid. Phosphorus, sulfur, and silicon and the related elements. 111(1). 166–166. 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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