Maoni Guo

1.3k total citations
23 papers, 951 citations indexed

About

Maoni Guo is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Maoni Guo has authored 23 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Maoni Guo's work include Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (10 papers) and RNA Research and Splicing (6 papers). Maoni Guo is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (10 papers) and RNA Research and Splicing (6 papers). Maoni Guo collaborates with scholars based in China, Macao and United States. Maoni Guo's co-authors include Peng Wang, Shangwei Ning, Hui Zhi, Yue Gao, Jizhou Zhang, Xia Li, Ming Yue, Yue Liu, Jie Sun and Meng Zhou and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and International Journal of Cancer.

In The Last Decade

Maoni Guo

22 papers receiving 942 citations

Peers

Maoni Guo

GENET

EPIDE

PRM

Oskar Marín-Béjar Spain

Franziska Gruhl Australia

Julien Jarroux United States

Junhui Ge China

Joana Carlevaro-Fita Switzerland

Jovanna González Spain

Xiaoling Li China

Guanli Huang China

Sandra Währisch Germany

Oskar Marín-Béjar Spain

Maoni Guo

713 ×0.9

609 ×0.8

46 ×0.5

GENET

53 ×0.9

EPIDE

26 ×0.5

PRM

Citations per year, relative to Maoni Guo Maoni Guo (= 1×) peers Oskar Marín-Béjar

Countries citing papers authored by Maoni Guo

Since Specialization

Citations

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

Fields of papers citing papers by Maoni Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maoni Guo

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

All Works

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20 of 20 papers shown

Chen, Yuqi, Changliang Wang, Maoni Guo, et al.. (2025). MOGAD: Integrated Multi-Omics and Graph Attention for the Discovery of Alzheimer’s Disease’s Biomarkers. Informatics. 12(3). 68–68.

Huang, Teng, et al.. (2022). Distinct landscapes of deleterious variants in DNA damage repair system in ethnic human populations. Life Science Alliance. 5(9). e202101319–e202101319. 6 indexed citations

Wu, Xiaobing, Maoni Guo, Jian Cui, Haoyang Cai, & San Ming Wang. (2022). Heterozygotic Brca1 mutation initiates mouse genome instability at embryonic stage. Oncogenesis. 11(1). 41–41. 6 indexed citations

Li, Jiaheng, Benjamin Tam, Siddharth Sinha, et al.. (2022). Ethnic‐specificity, evolution origin and deleteriousness of Asian BRCA variation revealed by over 7500 BRCA variants derived from Asian population. International Journal of Cancer. 152(6). 1159–1173. 7 indexed citations

Guo, Maoni & San Ming Wang. (2021). Genome Instability-Derived Genes Are Novel Prognostic Biomarkers for Triple-Negative Breast Cancer. Frontiers in Cell and Developmental Biology. 9. 701073–701073. 9 indexed citations

Zhang, Li, Teng Huang, Benjamin Tam, et al.. (2021). Prevalence and spectrum of DNA mismatch repair gene variation in the general Chinese population. Journal of Medical Genetics. 59(7). 652–661. 7 indexed citations

Zhang, Jizhou, Yue Gao, Peng Wang, et al.. (2020). CLING: Candidate Cancer-Related lncRNA Prioritization via Integrating Multiple Biological Networks. Frontiers in Bioengineering and Biotechnology. 8. 138–138. 2 indexed citations

Dong, Hui, et al.. (2020). Can population BRCA screening be applied in non-Ashkenazi Jewish populations? Experience in Macau population. Journal of Medical Genetics. 58(9). 587–591. 12 indexed citations

Dong, Hui, Xiaoqing Tian, Ning Wang, et al.. (2020). Prevalence of BRCA1/BRCA2 pathogenic variation in Chinese Han population. Journal of Medical Genetics. 58(8). 565–569. 26 indexed citations

10.

Huang, Teng, Barani Kumar Rajendran, Maoni Guo, et al.. (2020). Ethnic-specific BRCA1/2 variation within Asia population: evidence from over 78 000 cancer and 40 000 non-cancer cases of Indian, Chinese, Korean and Japanese populations. Journal of Medical Genetics. 58(11). 752–759. 27 indexed citations

11.

Guo, Maoni, Siddharth Sinha, & San Ming Wang. (2019). Coupled Genome-Wide DNA Methylation and Transcription Analysis Identified Rich Biomarkers and Drug Targets in Triple-Negative Breast Cancer. Cancers. 11(11). 1724–1724. 9 indexed citations

12.

Zhang, Yan, Dianshuang Zhou, Hui Zhi, et al.. (2018). Inferences of individual drug responses across diverse cancer types using a novel competing endogenous RNA network. Molecular Oncology. 12(9). 1429–1446. 23 indexed citations

13.

Zhi, Hui, Xin Li, Peng Wang, et al.. (2017). Lnc2Meth: a manually curated database of regulatory relationships between long non-coding RNAs and DNA methylation associated with human disease. Nucleic Acids Research. 46(D1). D133–D138. 43 indexed citations

14.

Yue, Ming, Dianshuang Zhou, Hui Zhi, et al.. (2017). MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases. Nucleic Acids Research. 46(D1). D181–D185. 41 indexed citations

15.

Ning, Shangwei, Ming Yue, Peng Wang, et al.. (2016). LincSNP 2.0: an updated database for linking disease-associated SNPs to human long non-coding RNAs and their TFBSs. Nucleic Acids Research. 45(D1). D74–D78. 66 indexed citations

16.

Ning, Shangwei, Yue Gao, Peng Wang, et al.. (2016). Construction of a lncRNA-mediated feed-forward loop network reveals global topological features and prognostic motifs in human cancers. Oncotarget. 7(29). 45937–45947. 20 indexed citations

17.

Sun, Jie, Xihai Chen, Zhenzhen Wang, et al.. (2015). A potential prognostic long non-coding RNA signature to predict metastasis-free survival of breast cancer patients. Scientific Reports. 5(1). 16553–16553. 86 indexed citations

18.

Ning, Shangwei, Jizhou Zhang, Peng Wang, et al.. (2015). Lnc2Cancer: a manually curated database of experimentally supported lncRNAs associated with various human cancers. Nucleic Acids Research. 44(D1). D980–D985. 272 indexed citations

19.

Zhou, Meng, Maoni Guo, Xiaojun Wang, et al.. (2015). A potential signature of eight long non-coding RNAs predicts survival in patients with non-small cell lung cancer. Journal of Translational Medicine. 13(1). 231–231. 152 indexed citations

20.

Wang, Peng, Hui Zhi, Yunpeng Zhang, et al.. (2015). miRSponge: a manually curated database for experimentally supported miRNA sponges and ceRNAs. Database. 2015. bav098–bav098. 96 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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