Yitao Mao

1.1k total citations
44 papers, 764 citations indexed

About

Yitao Mao is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yitao Mao has authored 44 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 13 papers in Molecular Biology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yitao Mao's work include Cancer-related molecular mechanisms research (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and RNA modifications and cancer (9 papers). Yitao Mao is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and RNA modifications and cancer (9 papers). Yitao Mao collaborates with scholars based in China, United States and Taiwan. Yitao Mao's co-authors include Luqing Zhao, Li Xu, Luqing Zhao, Qingling Li, Ya Cao, Haofan Wang, Weihua Liao, Qin Yan, Youming Zhang and Xiang Chen and has published in prestigious journals such as Scientific Reports, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Yitao Mao

40 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yitao Mao China 18 351 238 142 110 103 44 764
Tamás Micsík Hungary 14 236 0.7× 139 0.6× 43 0.3× 90 0.8× 34 0.3× 50 625
Ciara O’Brien United Kingdom 15 149 0.4× 81 0.3× 48 0.3× 241 2.2× 127 1.2× 40 754
Cathy Philippe France 15 711 2.0× 213 0.9× 429 3.0× 132 1.2× 65 0.6× 32 1.7k
Christian Roeder Germany 12 394 1.1× 201 0.8× 196 1.4× 440 4.0× 413 4.0× 14 1.3k
Jorge Villanúa Spain 15 295 0.8× 186 0.8× 90 0.6× 81 0.7× 115 1.1× 28 739
Mo Zhang China 17 275 0.8× 112 0.5× 89 0.6× 79 0.7× 121 1.2× 45 719
Keiko Yanagihara Japan 18 246 0.7× 122 0.5× 62 0.4× 106 1.0× 56 0.5× 68 792
Zhiyi Sha United States 14 109 0.3× 67 0.3× 125 0.9× 34 0.3× 290 2.8× 32 883
Hongmin Bai China 14 227 0.6× 87 0.4× 345 2.4× 62 0.6× 27 0.3× 41 823
Michael Cheng United States 12 178 0.5× 75 0.3× 86 0.6× 82 0.7× 30 0.3× 25 514

Countries citing papers authored by Yitao Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yitao Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yitao Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yitao Mao. A scholar is included among the top collaborators of Yitao 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 Yitao Mao. Yitao 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.
Li, Yan, et al.. (2025). Mechanism and role of regulated cell death in tumor immunity and immunotherapy. Cancer Communications. 45(11). 1456–1495.
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Lü, Can, Jia Li, Jun Li, et al.. (2023). The expression profiles of signature genes from CD103+LAG3+ tumour-infiltrating lymphocyte subsets predict breast cancer survival. BMC Medicine. 21(1). 268–268. 8 indexed citations
5.
Mao, Yitao, et al.. (2023). The combination of radiomics features and VASARI standard to predict glioma grade. Frontiers in Oncology. 13. 1083216–1083216. 16 indexed citations
6.
Wang, Haofan, Yitao Mao, Xiaojun Hu, et al.. (2022). Prediction of effective percutaneous transhepatic biliary drainage in patients with hepatocellular carcinoma: A multi-central retrospective study. Liver Research. 6(4). 269–275. 1 indexed citations
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Mao, Yitao, Jie Zhou, Zhao Chen, et al.. (2022). Mesenteric abnormalities play an important role in grading intestinal fibrosis in patients with Crohn’s disease: a computed tomography and clinical marker-based nomogram. Therapeutic Advances in Gastroenterology. 15. 1098305480–1098305480. 11 indexed citations
9.
Mao, Yitao, Qian Pei, Yan Fu, et al.. (2022). Pre-Treatment Computed Tomography Radiomics for Predicting the Response to Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer: A Retrospective Study. Frontiers in Oncology. 12. 850774–850774. 14 indexed citations
10.
Jiang, He, et al.. (2022). Systematic pan-cancer analysis identifies RALA as a tumor targeting immune therapeutic and prognostic marker. Frontiers in Immunology. 13. 1046044–1046044. 4 indexed citations
11.
He, Jiang, et al.. (2022). New insights into checkpoint inhibitor immunotherapy and its combined therapies in hepatocellular carcinoma: from mechanisms to clinical trials. International Journal of Biological Sciences. 18(7). 2775–2794. 41 indexed citations
12.
Liu, Gaoming, Xue Chen, He Jiang, et al.. (2022). The Dysregulation of SOX Family Correlates with DNA Methylation and Immune Microenvironment Characteristics to Predict Prognosis in Hepatocellular Carcinoma. Disease Markers. 2022. 1–21. 15 indexed citations
13.
Mao, Yitao, et al.. (2021). The interplay between m6A modification and non-coding RNA in cancer stemness modulation: mechanisms, signaling pathways, and clinical implications. International Journal of Biological Sciences. 17(11). 2718–2736. 37 indexed citations
14.
Mao, Yitao, Bin Chen, Haofan Wang, et al.. (2020). Diagnostic performance of magnetic resonance imaging for colorectal liver metastasis: A systematic review and meta-analysis. Scientific Reports. 10(1). 1969–1969. 34 indexed citations
15.
Zhang, Youming, Youming Zhang, Xiaoping Yi, et al.. (2019). Sensorimotor and pain‐related alterations of the gray matter and white matter in Type 2 diabetic patients with peripheral neuropathy. Human Brain Mapping. 41(3). 710–725. 37 indexed citations
16.
Zhao, Luqing, et al.. (2018). The functional pathway analysis and clinical significance of miR-20a and its related lncRNAs in breast cancer. Cellular Signalling. 51. 152–165. 26 indexed citations
17.
Mao, Yitao & Li Xu. (2016). Lexical tone recognition in noise in normal-hearing children and prelingually deafened children with cochlear implants. International Journal of Audiology. 56(sup2). S23–S30. 37 indexed citations
18.
Wang, Shuo, Dongxin Liu, Yuan Wang, et al.. (2015). Perceptual separation of sensorineural hearing loss and auditory neuropathy spectrum disorder. The Laryngoscope. 126(6). 1420–1425. 6 indexed citations
19.
Mao, Yitao, Yijing Zhang, Qi‐Xin Zhou, et al.. (2013). Acoustic properties of vocal singing in prelingually-deafened children with cochlear implants or hearing aids. International Journal of Pediatric Otorhinolaryngology. 77(11). 1833–1840. 9 indexed citations
20.
Mao, Yitao, et al.. (2012). Comparative proteomic analysis of secreted proteins from nasopharyngeal carcinoma-associated stromal fibroblasts and normal fibroblasts. Experimental and Therapeutic Medicine. 3(5). 857–860. 19 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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