Shi-Qing Mao

1.4k total citations
11 papers, 737 citations indexed

About

Shi-Qing Mao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Shi-Qing Mao has authored 11 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Genetics. Recurrent topics in Shi-Qing Mao's work include Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (3 papers). Shi-Qing Mao is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (3 papers). Shi-Qing Mao collaborates with scholars based in China, United Kingdom and Portugal. Shi-Qing Mao's co-authors include Guoliang Xu, Mickaël Poidevin, Keith E. Szulwach, Li Lin, Peng Jin, Craig Street, Ye Fu, Yujing Li, Qing Dai and Hao Wu and has published in prestigious journals such as Cell, Angewandte Chemie International Edition and Biochemistry.

In The Last Decade

Shi-Qing Mao

10 papers receiving 729 citations

Peers

Shi-Qing Mao

MB

GENET

CR

PPCH

PS

Evan M. Cornett United States

Andrey Pichugin France

Felix Gnerlich Germany

Olivia Tort Spain

Stephen Shang United States

Fahad Rashid Saudi Arabia

Kathleen S. Christine United States

Françoise Illien France

Kenji Yamatoya Japan

Kingsley A. Boateng United States

Evan M. Cornett United States

Shi-Qing Mao

635 ×0.9

MB

52 ×0.7

GENET

28 ×0.6

CR

8 ×0.2

PPCH

28 ×1.2

PS

Citations per year, relative to Shi-Qing Mao Shi-Qing Mao (= 1×) peers Evan M. Cornett

Countries citing papers authored by Shi-Qing Mao

Since Specialization

Citations

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

Fields of papers citing papers by Shi-Qing Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi-Qing Mao

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

All Works

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11 of 11 papers shown

1.

Zheng, Jiajun, Shi-Qing Mao, Shijie Zhang, et al.. (2025). Mineral-based electromagnetic wave absorbers and shields: Latest progress and perspectives. Journal of Alloys and Compounds. 1022. 179884–179884. 22 indexed citations

2.

Mao, Shi-Qing, et al.. (2025). Characterization of archaeal promoters using explainable and web-based CNN model. BMC Genomics. 26(1). 936–936.

3.

Cheng, Maosheng, Siyan Zhang, Rongsong Ling, et al.. (2021). METTL3-Mediated m6A RNA Modification Regulates Corneal Injury Repair. Stem Cells International. 2021. 1–14. 7 indexed citations

4.

Broome, Rebecca, Igor Chernukhin, Stacey Jamieson, et al.. (2021). TET2 is a component of the estrogen receptor complex and controls 5mC to 5hmC conversion at estrogen receptor cis-regulatory regions. Cell Reports. 34(8). 108776–108776. 25 indexed citations

5.

Singh, Nidhi, Shi-Qing Mao, & Wenjin Li. (2021). Identification of Novel Inhibitors of Type-I Mycobacterium Tuberculosis Fatty Acid Synthase Using Docking-Based Virtual Screening and Molecular Dynamics Simulation. Applied Sciences. 11(15). 6977–6977. 3 indexed citations

6.

Mao, Shi-Qing, Sergio Martínez Cuesta, David Tannahill, & Shankar Balasubramanian. (2020). Genome-wide DNA Methylation Signatures Are Determined by DNMT3A/B Sequence Preferences. Biochemistry. 59(27). 2541–2550. 19 indexed citations

7.

Mao, Shi-Qing, et al.. (2019). A Photo‐responsive Small‐Molecule Approach for the Opto‐epigenetic Modulation of DNA Methylation. Angewandte Chemie. 131(20). 6692–6696. 5 indexed citations

8.

Mao, Shi-Qing, et al.. (2019). A Photo‐responsive Small‐Molecule Approach for the Opto‐epigenetic Modulation of DNA Methylation. Angewandte Chemie International Edition. 58(20). 6620–6624. 15 indexed citations

9.

Mao, Shi-Qing, Avazeh T. Ghanbarian, Jochen Spiegel, et al.. (2018). DNA G-quadruplex structures mold the DNA methylome. Nature Structural & Molecular Biology. 25(10). 951–957. 190 indexed citations

10.

Mao, Shi-Qing, et al.. (2015). Differential regulation of genomic imprinting by TET proteins in embryonic stem cells. Stem Cell Research. 15(2). 435–443. 15 indexed citations

11.

Song, Chun‐Xiao, Keith E. Szulwach, Qing Dai, et al.. (2013). Genome-wide Profiling of 5-Formylcytosine Reveals Its Roles in Epigenetic Priming. Cell. 153(3). 678–691. 436 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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