Yan Mo

483 total citations
30 papers, 319 citations indexed

About

Yan Mo is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Yan Mo has authored 30 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Yan Mo's work include Water Treatment and Disinfection (6 papers), Chemical Analysis and Environmental Impact (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Yan Mo is often cited by papers focused on Water Treatment and Disinfection (6 papers), Chemical Analysis and Environmental Impact (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Yan Mo collaborates with scholars based in China, United States and Singapore. Yan Mo's co-authors include Xiao Wei, Huan Wu, Chencui Huang, Ying Xia, Qiyuan Yang, Yujie Sha, Weiwei Zheng, Qiyuan Yang, Qingguo Ren and Xiaona Xia and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Yan Mo

25 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Mo China 10 114 96 41 40 36 30 319
Erica Giacobbi Italy 11 42 0.4× 64 0.7× 101 2.5× 27 0.7× 90 2.5× 33 350
Qiuyuan Li China 13 22 0.2× 36 0.4× 127 3.1× 33 0.8× 57 1.6× 50 408
Weiping Xu China 10 44 0.4× 23 0.2× 19 0.5× 25 0.6× 18 0.5× 22 362
Michał Falco Poland 9 69 0.6× 33 0.3× 52 1.3× 15 0.4× 28 0.8× 24 287
M. Roller Germany 9 116 1.0× 28 0.3× 131 3.2× 13 0.3× 21 0.6× 15 317
Shimaa Ahmed Egypt 8 135 1.2× 33 0.3× 38 0.9× 12 0.3× 67 1.9× 25 301
Hsiu‐Ying Ku Taiwan 8 242 2.1× 12 0.1× 66 1.6× 18 0.5× 72 2.0× 21 406
A Degerman Sweden 9 77 0.7× 49 0.5× 41 1.0× 9 0.2× 22 0.6× 9 372
Yanyan Zhang China 13 63 0.6× 36 0.4× 53 1.3× 61 1.5× 104 2.9× 27 385
Rudy Gunawan United States 9 176 1.5× 22 0.2× 28 0.7× 10 0.3× 26 0.7× 25 415

Countries citing papers authored by Yan Mo

Since Specialization
Citations

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

Fields of papers citing papers by Yan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Mo. A scholar is included among the top collaborators of Yan Mo 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 Yan Mo. Yan Mo 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.
Mo, Yan, et al.. (2025). Metformin in gynecological disorders: pathogenic insights and therapeutic implications. Frontiers in Pharmacology. 16. 1526709–1526709. 2 indexed citations
2.
Feng, Lei, Qiushi Feng, Yan Mo, et al.. (2025). Trends in cognitive impairment among older adults in China from 2002 to 2022: Evaluating the impact of the COVID-19 pandemic. The Journal of Prevention of Alzheimer s Disease. 13(1). 100370–100370.
3.
Lin, Ran, Yan Mo, Douglas Barrows, et al.. (2025). MED1 IDR deacetylation controls stress responsive genes through RNA Pol II recruitment. Nature Chemical Biology. 22(3). 501–513.
5.
Mo, Yan, Qiushi Feng, & Danan Gu. (2023). Impacts of the COVID-19 pandemic on life expectancy at birth in Asia. BMC Public Health. 23(1). 1508–1508. 5 indexed citations
6.
Zhang, Lanlan, et al.. (2023). Cytokines as drivers: Unraveling the mechanisms of epithelial-mesenchymal transition in COVID-19 lung fibrosis. Biochemical and Biophysical Research Communications. 686. 149118–149118. 4 indexed citations
7.
Xiao, Jingyi, Yujie Sha, Huan Wu, et al.. (2023). Drinking water disinfection byproduct iodoacetic acid affects thyroid hormone synthesis in Nthy-ori 3–1 cells. Ecotoxicology and Environmental Safety. 257. 114926–114926. 8 indexed citations
8.
Zhang, Shuai, Chang Liu, Yi Cheng, et al.. (2022). The early predictive effect of low expression of the ITGA4 in colorectal cancer. Journal of Gastrointestinal Oncology. 13(1). 265–278. 7 indexed citations
9.
Sha, Yujie, Huan Wu, Xi Liu, et al.. (2022). Effects of iodoacetic acid drinking water disinfection byproduct on the gut microbiota and its metabolism in rats. Journal of Environmental Sciences. 117. 91–104. 9 indexed citations
10.
Mo, Yan, et al.. (2021). Silencing ACTG1 Expression Induces Prostate Cancer Epithelial Mesenchymal Transition Through MAPK/ERK Signaling Pathway. DNA and Cell Biology. 40(11). 1445–1455. 16 indexed citations
11.
Li, Ning, Yan Mo, Chencui Huang, et al.. (2021). A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features. Frontiers in Oncology. 11. 752158–752158. 36 indexed citations
12.
Wu, Huan, Yujie Sha, Ying Xia, et al.. (2021). Occurrence and toxicity of halobenzoquinones as drinking water disinfection byproducts. The Science of The Total Environment. 770. 145277–145277. 32 indexed citations
13.
Ding, Wenlong, Yan Mo, Kai Wang, et al.. (2021). Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework. European Journal of Nuclear Medicine and Molecular Imaging. 48(13). 4293–4306. 38 indexed citations
14.
Li, Hui, et al.. (2021). An MSCT-based radiomics nomogram combined with clinical factors can identify Crohn’s disease and ulcerative colitis. Annals of Translational Medicine. 9(7). 572–572. 28 indexed citations
15.
Zhang, Mingming, et al.. (2020). Big data-based identification of methylated genes associated with drug resistance and prognosis in ovarian cancer. Medicine. 99(27). e20802–e20802. 5 indexed citations
16.
Wu, Huan, et al.. (2019). Occurrence and formation of halobenzoquinones in indoor and outdoor swimming pool waters of Nanning City, Southwest China. Environmental Science and Pollution Research. 26(30). 31537–31545. 16 indexed citations
17.
Mo, Yan, et al.. (2017). Unmet needs in health training among nurses in rural Chinese township health centers: a cross-sectional hospital-based study. Journal of Educational Evaluation for Health Professions. 14. 22–22. 5 indexed citations
18.
Huang, Yujing, et al.. (2015). Brain potentials indicate the effect of other observers' emotions on perceptions of facial attractiveness. Neuroscience Letters. 617. 277–282. 2 indexed citations
19.
Mo, Yan, et al.. (2014). Correlations Between CT Perfusion Parameters and Vascular Endothelial Growth Factor Expression and Microvessel Density in Implanted VX2 Lung Tumors. Cell Biochemistry and Biophysics. 70(1). 629–633. 9 indexed citations
20.
Mo, Yan & Tao Qian. (2014). Support vector machine adapted Tikhonov regularization method to solve Dirichlet problem. Applied Mathematics and Computation. 245. 509–519. 5 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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