Xiaoyang Mou

621 total citations
30 papers, 489 citations indexed

About

Xiaoyang Mou is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Xiaoyang Mou has authored 30 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Physiology. Recurrent topics in Xiaoyang Mou's work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (7 papers) and Alzheimer's disease research and treatments (5 papers). Xiaoyang Mou is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (7 papers) and Alzheimer's disease research and treatments (5 papers). Xiaoyang Mou collaborates with scholars based in United States, China and Japan. Xiaoyang Mou's co-authors include Wei Kong, Xiao Hu, Shuaiqun Wang, Dave Jao, Weiming Zeng, Jin Deng, Xudong Huang, Jack T. Rogers, Zhongxue Chen and Qingzhong Liu and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Xiaoyang Mou

28 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyang Mou United States 13 265 106 97 74 50 30 489
Yun Dong China 10 256 1.0× 80 0.8× 105 1.1× 62 0.8× 55 1.1× 18 621
Anton Lennikov United States 19 295 1.1× 45 0.4× 96 1.0× 49 0.7× 24 0.5× 53 884
Mi‐Hyeon You South Korea 13 293 1.1× 44 0.4× 59 0.6× 77 1.0× 98 2.0× 21 569
Emine Şalva Türkiye 13 304 1.1× 101 1.0× 115 1.2× 30 0.4× 12 0.2× 44 501
Hongjin Wang China 18 337 1.3× 50 0.5× 101 1.0× 39 0.5× 48 1.0× 43 980
Haoli Wang China 16 372 1.4× 39 0.4× 90 0.9× 79 1.1× 16 0.3× 31 792
Chia‐Ming Chang Taiwan 11 374 1.4× 101 1.0× 45 0.5× 60 0.8× 22 0.4× 16 711
Yucui Jiang China 12 314 1.2× 59 0.6× 75 0.8× 52 0.7× 26 0.5× 28 791
Jungju Oh South Korea 14 424 1.6× 84 0.8× 86 0.9× 37 0.5× 46 0.9× 19 599

Countries citing papers authored by Xiaoyang Mou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyang Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyang Mou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyang Mou. A scholar is included among the top collaborators of Xiaoyang Mou 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 Xiaoyang Mou. Xiaoyang Mou 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.
Zhang, Yiwei, Wenjing Yu, Shufeng Wang, et al.. (2025). High-throughput single-cell analysis reveals fully human Omp38-specific monoclonal antibodies against Acinetobacter baumannii. BMC Microbiology. 25(1). 523–523.
2.
3.
DeFrates, Kelsey G., et al.. (2020). Air-jet spinning corn zein protein nanofibers for drug delivery: Effect of biomaterial structure and shape on release properties. Materials Science and Engineering C. 118. 111419–111419. 29 indexed citations
4.
Deng, Jin, Weiming Zeng, Wei Kong, Yuhu Shi, & Xiaoyang Mou. (2020). The Study of Sarcoma Microenvironment Heterogeneity Associated With Prognosis Based on an Immunogenomic Landscape Analysis. Frontiers in Bioengineering and Biotechnology. 8. 1003–1003. 17 indexed citations
5.
Xue, Ye, et al.. (2020). Air-Jet Spun Corn Zein Nanofibers and Thin Films with Topical Drug for Medical Applications. International Journal of Molecular Sciences. 21(16). 5780–5780. 11 indexed citations
6.
Zhang, Tao, Wei Kong, Shuaiqun Wang, & Xiaoyang Mou. (2020). Association Analysis of Peripheral and CSF Biomarkers in Late Mild Cognitive Impairment. Frontiers in Genetics. 11. 834–834. 2 indexed citations
7.
Chang, Chun, Wei Kong, Xiaoyang Mou, & Shuaiqun Wang. (2020). Investigating the correlation between DNA methylation and immune‑associated genes of lung adenocarcinoma based on a competing endogenous RNA network. Molecular Medicine Reports. 22(4). 3173–3182. 4 indexed citations
8.
Kong, Wei, et al.. (2019). Transcriptional Regulation Analysis of Alzheimer's Disease Based on FastNCA Algorithm. Current Bioinformatics. 14(8). 771–782. 8 indexed citations
9.
Deng, Jin, Wei Kong, Xiaoyang Mou, Shuaiqun Wang, & Weiming Zeng. (2018). Identifying novel candidate biomarkers of RCC based on WGCNA analysis. Personalized Medicine. 15(5). 381–394. 12 indexed citations
10.
Kong, Wei, et al.. (2018). Construction of Transcriptional Regulatory Network of Alzheimer’s Disease Based on PANDA Algorithm. Interdisciplinary Sciences Computational Life Sciences. 11(2). 226–236. 11 indexed citations
11.
Deng, Jin, Wei Kong, Shuaiqun Wang, Xiaoyang Mou, & Weiming Zeng. (2018). Prior Knowledge Driven Joint NMF Algorithm for ceRNA Co-Module Identification. International Journal of Biological Sciences. 14(13). 1822–1833. 18 indexed citations
12.
Wei, Boyang, Wei Kong, Xiaoyang Mou, & Shuaiqun Wang. (2018). Comprehensive analysis of tumor immune infiltration associated with endogenous competitive RNA networks in lung adenocarcinoma. Pathology - Research and Practice. 215(1). 159–170. 37 indexed citations
13.
Kong, Wei, Xiaoyang Mou, Jin Deng, et al.. (2017). Differences of immune disorders between Alzheimer’s disease and breast cancer based on transcriptional regulation. PLoS ONE. 12(7). e0180337–e0180337. 12 indexed citations
14.
Kong, Wei, Xiaoyang Mou, Na Zhang, et al.. (2015). The Construction of Common and Specific Significance Subnetworks of Alzheimer’s Disease from Multiple Brain Regions. BioMed Research International. 2015. 1–13. 19 indexed citations
15.
Kong, Wei, Shasha Li, & Xiaoyang Mou. (2012). ICA-based Gene Expression Modules Exploring for Alzheimer's Disease. 821–824.
16.
Mou, Xiaoyang, Santosh Kesari, Patrick Y. Wen, & Xudong Huang. (2011). Crude drugs as anticancer agents.. PubMed. 4(1). 17–25. 12 indexed citations
17.
Kong, Wei, Xiaoyang Mou, & Xiaohua Hu. (2011). Exploring matrix factorization techniques for significant genes identification of Alzheimer’s disease microarray gene expression data. BMC Bioinformatics. 12(S5). S7–S7. 25 indexed citations
18.
19.
Kong, Wei, Xiaoyang Mou, Qingzhong Liu, et al.. (2009). Independent component analysis of Alzheimer's DNA microarray gene expression data. Molecular Neurodegeneration. 4(1). 5–5. 62 indexed citations
20.
Fukamiya, Narihiko, Xiaoyang Mou, Teruo Mukainaka, et al.. (2000). Conversion of Quassinoids for Enhancement of Inhibitory Effect against Epstein-Barr Virus Early Antigen Activation. Introduction of Lipophilic Side Chain and Esterification of Diosphenol.. Chemical and Pharmaceutical Bulletin. 48(6). 876–878. 9 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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