Yan Mao

2.7k total citations · 1 hit paper
64 papers, 2.1k citations indexed

About

Yan Mao is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Yan Mao has authored 64 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 27 papers in Cancer Research and 22 papers in Molecular Biology. Recurrent topics in Yan Mao's work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers) and Breast Cancer Treatment Studies (8 papers). Yan Mao is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers) and Breast Cancer Treatment Studies (8 papers). Yan Mao collaborates with scholars based in China, Canada and United States. Yan Mao's co-authors include Kunwei Shen, David Garfield, Evan T. Keller, Jianhua Wang, Ou Huang, Xiaosong Chen, Xiaochun Fei, Qing Qu, Jiayi Wu and Feng Jiang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yan Mao

63 papers receiving 2.1k citations

Hit Papers

Stromal cells in tumor microenvironment and breast cancer 2012 2026 2016 2021 2012 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Stromal cells in tumor microenvironment and breast cancer
    2012 549 citations Yan Mao, Kunwei Shen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Mao China 23 1.0k 839 748 421 338 64 2.1k
Rafał Matkowski Poland 28 1.2k 1.2× 865 1.0× 696 0.9× 363 0.9× 316 0.9× 183 2.3k
Thomas Bogenrieder Germany 25 1.2k 1.1× 1.2k 1.4× 536 0.7× 371 0.9× 342 1.0× 63 2.6k
Ana C. Garrido-Castro United States 12 1.4k 1.4× 649 0.8× 474 0.6× 287 0.7× 502 1.5× 54 2.2k
Xin Hu China 27 967 1.0× 1.3k 1.5× 822 1.1× 377 0.9× 406 1.2× 96 2.5k
Yoshihisa Tokumaru Japan 28 1.1k 1.0× 1.1k 1.3× 859 1.1× 507 1.2× 714 2.1× 91 2.2k
Jianjun He China 27 837 0.8× 940 1.1× 846 1.1× 386 0.9× 433 1.3× 86 2.2k
Lili Yang China 26 616 0.6× 944 1.1× 496 0.7× 733 1.7× 316 0.9× 112 2.1k
Eduardo Farias United States 29 774 0.8× 1.4k 1.7× 618 0.8× 425 1.0× 212 0.6× 67 2.7k
Linping Xu China 18 1.2k 1.2× 751 0.9× 363 0.5× 810 1.9× 328 1.0× 54 2.2k
Omar M. Rashid United States 25 738 0.7× 786 0.9× 450 0.6× 268 0.6× 415 1.2× 68 1.7k

Countries citing papers authored by Yan Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yan Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Mao. A scholar is included among the top collaborators of Yan 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 Yan Mao. Yan 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.
Huang, Jin, Yan Mao, Jingwen Deng, et al.. (2025). EMGANet: Edge-Aware Multi-Scale Group-Mix Attention Network for Breast Cancer Ultrasound Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(8). 5631–5641. 6 indexed citations
2.
3.
Mao, Yan, Yan Zhou, Yan Chen, et al.. (2024). Transcriptional mechanism of E2F1/TFAP2C/NRF1 in regulating KANK2 gene in nephrotic syndrome. Experimental Cell Research. 435(2). 113931–113931.
4.
Ma, Qing, et al.. (2024). HMGA2 promotes cancer metastasis by regulating epithelial–mesenchymal transition. Frontiers in Oncology. 14. 1320887–1320887. 10 indexed citations
5.
Mao, Yan, et al.. (2023). Inhibition of IGF2BP1 attenuates renal injury and inflammation by alleviating m6A modifications and E2F1/MIF pathway. International Journal of Biological Sciences. 19(2). 593–609. 29 indexed citations
6.
7.
Tao, Ziyu, Guoping Zhou, Zhenqin Xiong, et al.. (2023). Genetic analysis of potential biomarkers and therapeutic targets associated with ferroptosis from bronchopulmonary dysplasia. Medicine. 102(29). e34371–e34371. 3 indexed citations
8.
9.
Mao, Yan, et al.. (2022). Comprehensive analysis for cellular senescence-related immunogenic characteristics and immunotherapy prediction of acute myeloid leukemia. Frontiers in Pharmacology. 13. 987398–987398. 8 indexed citations
10.
Chen, Hao, et al.. (2021). PAD4 inhibitor promotes DNA damage and radiosensitivity of nasopharyngeal carcinoma cells. Environmental Toxicology. 36(11). 2291–2301. 10 indexed citations
11.
Sun, Lijiang, Dawei Wang, Minming Zhang, et al.. (2020). Preoperative Immune Prognostic Index Can Predict the Clinical Outcomes of Patients with Gallbladder Cancer: Single-Center Experience. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Lv, Meng, Yan Mao, Yuhua Song, et al.. (2020). Clinical Features and Survival of Single Hormone Receptor–Positive Breast Cancer: A Population-Based Study of 531,605 Patients. Clinical Breast Cancer. 20(5). e589–e599. 16 indexed citations
13.
Nie, Gang, et al.. (2017). Breast cancer in "young" women: Age cutoff and clinicopathologic features.. Journal of Clinical Oncology. 35(15_suppl). e12019–e12019. 1 indexed citations
14.
Mao, Yan, Yuzi Zhang, Qing Qu, et al.. (2015). Cancer-associated fibroblasts induce trastuzumab resistance in HER2 positive breast cancer cells. Molecular BioSystems. 11(4). 1029–1040. 42 indexed citations
15.
Mao, Yan, Gang Xiao, Xiaochun Fei, et al.. (2015). USP2 promotes cell migration and invasion in triple negative breast cancer cell lines. Tumor Biology. 36(7). 5415–5423. 43 indexed citations
16.
Cheng, Guangcun, Xueqing Sun, Jinglong Wang, et al.. (2013). HIC1 Silencing in Triple-Negative Breast Cancer Drives Progression through Misregulation of LCN2. Cancer Research. 74(3). 862–872. 50 indexed citations
17.
Chen, Xiaosong, Mingang Hao, Xueqing Sun, et al.. (2013). Dual Inhibition of PI3K and mTOR Mitigates Compensatory AKT Activation and Improves Tamoxifen Response in Breast Cancer. Molecular Cancer Research. 11(10). 1269–1278. 36 indexed citations
18.
Qu, Qing, Yan Mao, Xiaochun Fei, & Kunwei Shen. (2013). The Impact of Androgen Receptor Expression on Breast Cancer Survival: A Retrospective Study and Meta-Analysis. PLoS ONE. 8(12). e82650–e82650. 106 indexed citations
19.
20.
Mao, Yan, Laurie Gibbons, & T Wong. (1993). The impact of the decreased prevalence of smoking in Canada.. PubMed. 83(6). 413–6. 10 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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