Fengbiao Mao

2.3k total citations · 1 hit paper
57 papers, 1.4k citations indexed

About

Fengbiao Mao is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Fengbiao Mao has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 15 papers in Cancer Research and 13 papers in Genetics. Recurrent topics in Fengbiao Mao's work include Epigenetics and DNA Methylation (16 papers), Cancer Genomics and Diagnostics (10 papers) and Genomics and Chromatin Dynamics (10 papers). Fengbiao Mao is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), Cancer Genomics and Diagnostics (10 papers) and Genomics and Chromatin Dynamics (10 papers). Fengbiao Mao collaborates with scholars based in China, United States and Romania. Fengbiao Mao's co-authors include Zhong Sheng Sun, Huajing Teng, Jialong Liang, Wanshi Cai, Xiaolu Zhao, Jie Qiao, Yali Dou, Xianfeng Li, Jibiao Fan and Xinyue Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Fengbiao Mao

56 papers receiving 1.4k citations

Hit Papers

Cell–cell communication: new insights and clinical implic... 2024 2026 2025 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengbiao Mao China 24 853 318 178 109 95 57 1.4k
Leonidas A. Phylactou Cyprus 24 1.5k 1.8× 423 1.3× 385 2.2× 184 1.7× 79 0.8× 99 2.1k
Jianyong Shou United States 24 1.2k 1.4× 242 0.8× 188 1.1× 27 0.2× 75 0.8× 41 2.2k
Xiaojing Ye China 20 785 0.9× 186 0.6× 137 0.8× 34 0.3× 128 1.3× 48 1.9k
Shin‐ichiro Kitajiri Japan 20 787 0.9× 166 0.5× 83 0.5× 38 0.3× 68 0.7× 57 1.6k
Jennifer S. Fang United States 18 1.1k 1.3× 228 0.7× 414 2.3× 26 0.2× 89 0.9× 34 2.0k
Jan Procházka Czechia 20 791 0.9× 136 0.4× 217 1.2× 23 0.2× 54 0.6× 92 1.3k
Shoko Nakamura Japan 16 766 0.9× 144 0.5× 160 0.9× 25 0.2× 53 0.6× 83 1.7k
M. Esther Gallardo Spain 20 986 1.2× 96 0.3× 174 1.0× 37 0.3× 114 1.2× 56 1.6k
Gurtej K. Dhoot United Kingdom 26 1.8k 2.1× 118 0.4× 188 1.1× 40 0.4× 150 1.6× 80 2.8k

Countries citing papers authored by Fengbiao Mao

Since Specialization
Citations

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

Fields of papers citing papers by Fengbiao Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengbiao Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Fengbiao Mao. A scholar is included among the top collaborators of Fengbiao 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 Fengbiao Mao. Fengbiao 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.
Zhao, Hongyu, et al.. (2025). Emerging roles of RNA N4-acetylcytidine modification in reproductive health. Protein & Cell. 16(6). 458–477.
2.
Yang, Wentao, Mengrou Shan, Li Zhang, et al.. (2024). Quiescence enables unrestricted cell fate in naive embryonic stem cells. Nature Communications. 15(1). 1721–1721. 8 indexed citations
3.
Chen, Yi‐Fan, et al.. (2023). Integrative analysis of DNA methylomes reveals novel cell-free biomarkers in lung adenocarcinoma. Frontiers in Genetics. 14. 1175784–1175784. 2 indexed citations
5.
Wu, Ning, Ling Wei, Qiang Liu, et al.. (2023). Innovative insights into extrachromosomal circular DNAs in gynecologic tumors and reproduction. Protein & Cell. 15(1). 6–20. 13 indexed citations
6.
Mao, Fengbiao, et al.. (2023). Risk modeling of single-cell transcriptomes reveals the heterogeneity of immune infiltration in hepatocellular carcinoma. Journal of Biological Chemistry. 299(3). 102948–102948. 3 indexed citations
7.
Li, Shasha, Chenyang Lu, Yuan Zhang, et al.. (2022). Genetic association and single-cell transcriptome analyses reveal distinct features connecting autoimmunity with cancers. iScience. 25(7). 104631–104631. 1 indexed citations
8.
Li, Qiang, Yuanhao Huang, Jing Xu, et al.. (2021). p53 inactivation unmasks histone methylation-independent WDR5 functions that drive self-renewal and differentiation of pluripotent stem cells. Stem Cell Reports. 16(11). 2642–2658. 5 indexed citations
9.
Lee, Young‐Tae, Sang‐Ho Park, Sha Liang, et al.. (2021). Mechanism for DPY30 and ASH2L intrinsically disordered regions to modulate the MLL/SET1 activity on chromatin. Nature Communications. 12(1). 2953–2953. 27 indexed citations
10.
Liu, Lu, Fengbiao Mao, Guojun Shi, et al.. (2020). ER-associated degradation preserves hematopoietic stem cell quiescence and self-renewal by restricting mTOR activity. Blood. 136(26). 2975–2986. 47 indexed citations
11.
Zhao, Xiaolu, Jie Xiong, Fengbiao Mao, et al.. (2019). RNAi-dependent Polycomb repression controls transposable elements in Tetrahymena. Genes & Development. 33(5-6). 348–364. 36 indexed citations
12.
Zhang, Hui, Fengbiao Mao, Hanshi Xu, et al.. (2019). MLL1 Inhibition and Vitamin D Signaling Cooperate to Facilitate the Expanded Pluripotency State. Cell Reports. 29(9). 2659–2671.e6. 9 indexed citations
13.
Sun, Yuqing, Bo Zhou, Fengbiao Mao, et al.. (2018). HOXA9 Reprograms the Enhancer Landscape to Promote Leukemogenesis. Cancer Cell. 34(4). 643–658.e5. 86 indexed citations
14.
Mao, Fengbiao, Qi Liu, Xiaolu Zhao, et al.. (2017). EpiDenovo: a platform for linking regulatory de novo mutations to developmental epigenetics and diseases. Nucleic Acids Research. 46(D1). D92–D99. 17 indexed citations
15.
Mao, Fengbiao, Xianfeng Li, Jialong Liang, et al.. (2015). RBP-Var: a database of functional variants involved in regulation mediated by RNA-binding proteins. Nucleic Acids Research. 44(D1). D154–D163. 42 indexed citations
16.
Cai, Wanshi, Fengbiao Mao, Huajing Teng, et al.. (2015). MBRidge: an accurate and cost-effective method for profiling DNA methylome at single-base resolution. Journal of Molecular Cell Biology. 7(4). 299–313. 5 indexed citations
17.
Wang, Yan, Guiling Li, Fengbiao Mao, et al.. (2014). Ras-induced Epigenetic Inactivation of the RRAD (Ras-related Associated with Diabetes) Gene Promotes Glucose Uptake in a Human Ovarian Cancer Model. Journal of Biological Chemistry. 289(20). 14225–14238. 29 indexed citations
18.
Xie, Qing, Qi Liu, Fengbiao Mao, et al.. (2014). A Bayesian Framework to Identify Methylcytosines from High-Throughput Bisulfite Sequencing Data. PLoS Computational Biology. 10(9). e1003853–e1003853. 3 indexed citations
19.
Wang, Zhanjun, Wanshi Cai, Fang Cui, et al.. (2013). Identification of a novel missense (C7W) mutation of SOD1 in a large familial amyotrophic lateral sclerosis pedigree. Neurobiology of Aging. 35(3). 725.e11–725.e15. 6 indexed citations
20.
Wang, Yongqing, Yan Wang, Gang Xu, et al.. (2013). Comparative RNA-seq analysis reveals potential mechanisms mediating the conversion to androgen independence in an LNCaP progression cell model. Cancer Letters. 342(1). 130–138. 15 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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