Mao Peng

2.5k total citations
65 papers, 1.6k citations indexed

About

Mao Peng is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Mao Peng has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 36 papers in Biomedical Engineering and 34 papers in Plant Science. Recurrent topics in Mao Peng's work include Biofuel production and bioconversion (35 papers), Polysaccharides and Plant Cell Walls (15 papers) and Microbial Metabolic Engineering and Bioproduction (13 papers). Mao Peng is often cited by papers focused on Biofuel production and bioconversion (35 papers), Polysaccharides and Plant Cell Walls (15 papers) and Microbial Metabolic Engineering and Bioproduction (13 papers). Mao Peng collaborates with scholars based in Netherlands, Finland and United States. Mao Peng's co-authors include Albert J. R. Heck, Ronald P. de Vries, Miia Mäkelä, Shabaz Mohammed, Serena Di Palma, Christian Preisinger, Ayşe Nur Polat, Houjiang Zhou, Mingrui Duan and Chunhong Wei and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

Mao Peng

60 papers receiving 1.5k citations

Peers

Mao Peng
Pil Jae Maeng South Korea
Anand Sethuraman United States
Junko Maëda United States
Rudi Grimm Germany
Hye‐Jin Yoon South Korea
Pil Jae Maeng South Korea
Mao Peng
Citations per year, relative to Mao Peng Mao Peng (= 1×) peers Pil Jae Maeng

Countries citing papers authored by Mao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Mao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Mao Peng. A scholar is included among the top collaborators of Mao Peng 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 Mao Peng. Mao Peng 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.
Vries, Ronald P. de, et al.. (2025). Identification of putative fungal reference genes with stable expression from large RNA-seq datasets. Fungal Genetics and Biology. 178. 103985–103985.
2.
Liu, Dujuan, Lihui Xu, Mao Peng, et al.. (2024). AraR plays a more dominant role than XlnR in plant biomass conversion in Penicillium subrubescens. Current Research in Biotechnology. 8. 100243–100243.
3.
Peng, Mao, et al.. (2024). Exploring the Structural, Biochemical, and Functional Diversity of Glycoside Hydrolase Family 12 from Penicillium subrubescens. ACS Sustainable Resource Management. 1(11). 2372–2383. 3 indexed citations
5.
Kun, Roland S., Sonia Salazar-Cerezo, Mao Peng, et al.. (2023). The Amylolytic Regulator AmyR of Aspergillus niger Is Involved in Sucrose and Inulin Utilization in a Culture-Condition-Dependent Manner. Journal of Fungi. 9(4). 438–438. 4 indexed citations
6.
Wiebenga, Ad, Anna Lipzen, Vivian Ng, et al.. (2023). Comparative Genomics and Transcriptomics Analyses Reveal Divergent Plant Biomass-Degrading Strategies in Fungi. Journal of Fungi. 9(8). 860–860. 10 indexed citations
7.
Kun, Roland S., Sandra Garrigues, Mao Peng, et al.. (2023). The transcriptional activator ClrB is crucial for the degradation of soybean hulls and guar gum in Aspergillus niger. Fungal Genetics and Biology. 165. 103781–103781. 7 indexed citations
8.
Kun, Roland S., Mao Peng, Anna Lipzen, et al.. (2022). Detailed analysis of the D-galactose catabolic pathways in Aspergillus niger reveals complexity at both metabolic and regulatory level. Fungal Genetics and Biology. 159. 103670–103670. 14 indexed citations
9.
Wei, Kang, Yazhen Zhang, Rongmei Wu, et al.. (2021). An integrative analysis of metabolomics, DNA methylation and RNA-Seq data reveals key genes involved in albino tea 'Haishun 2'. SHILAP Revista de lepidopterología. 2(1). 1–9. 13 indexed citations
10.
Peng, Mao, Lye Meng Markillie, Hugh Mitchell, et al.. (2021). Re-routing of Sugar Catabolism Provides a Better Insight Into Fungal Flexibility in Using Plant Biomass-Derived Monomers as Substrates. Frontiers in Bioengineering and Biotechnology. 9. 644216–644216. 7 indexed citations
11.
Pontes, María Victoria Aguilar, Mao Peng, Mei Wang, et al.. (2020). Identification of a gene encoding the last step of the L-rhamnose catabolic pathway in Aspergillus niger revealed the inducer of the pathway regulator. Microbiological Research. 234. 126426–126426. 12 indexed citations
12.
Daly, Paul, Mao Peng, Anna Lipzen, et al.. (2019). Mixtures of aromatic compounds induce ligninolytic gene expression in the wood-rotting fungus Dichomitus squalens. Journal of Biotechnology. 308. 35–39. 8 indexed citations
13.
Falco, Marcos Di, Isabelle Benoit‐Gelber, Birgit S. Gruben, et al.. (2019). The presence of trace components significantly broadens the molecular response of Aspergillus niger to guar gum. New Biotechnology. 51. 57–66. 10 indexed citations
14.
Mäkelä, Miia, Ourdia Bouzid, Diogo Robl, et al.. (2017). Cultivation of Podospora anserina on soybean hulls results in an efficient enzyme cocktail for plant biomass hydrolysis. New Biotechnology. 37(Pt B). 162–171. 21 indexed citations
15.
Kowalczyk, Joanna E., Ronnie J. M. Lubbers, Mao Peng, et al.. (2017). Combinatorial control of gene expression in Aspergillus niger grown on sugar beet pectin. Scientific Reports. 7(1). 12356–12356. 52 indexed citations
16.
Peng, Mao, María Victoria Aguilar Pontes, Matthieu Hainaut, et al.. (2017). Comparative analysis of basidiomycete transcriptomes reveals a core set of expressed genes encoding plant biomass degrading enzymes. Fungal Genetics and Biology. 112. 40–46. 39 indexed citations
17.
Palma, Serena Di, Mao Peng, Harm Post, et al.. (2013). Finding the same needles in the haystack? A comparison of phosphotyrosine peptides enriched by immuno-affinity precipitation and metal-based affinity chromatography. Journal of Proteomics. 91. 331–337. 40 indexed citations
18.
Peng, Mao, Han Li, Chengshu Wang, et al.. (2008). Sys-BodyFluid: a systematical database for human body fluid proteome research. Nucleic Acids Research. 37(Database). D907–D912. 70 indexed citations
19.
Peng, Mao, Mingrui Duan, Chunhong Wei, & Yi Li. (2007). WRKY62 Transcription Factor Acts Downstream of Cytosolic NPR1 and Negatively Regulates Jasmonate-Responsive Gene Expression. Plant and Cell Physiology. 48(6). 833–842. 115 indexed citations
20.
Duan, Mingrui, Hui Ren, Mao Peng, et al.. (2005). Crystallization and preliminary X-ray analysis of the C-terminal WRKY domain of Arabidopsis thaliana WRKY1 transcription factor. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1750(1). 14–16. 7 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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