Zhanhao Mo

1.3k total citations · 1 hit paper
28 papers, 805 citations indexed

About

Zhanhao Mo is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Neurology. According to data from OpenAlex, Zhanhao Mo has authored 28 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Epidemiology and 4 papers in Neurology. Recurrent topics in Zhanhao Mo's work include Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (5 papers) and Advanced MRI Techniques and Applications (3 papers). Zhanhao Mo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (5 papers) and Advanced MRI Techniques and Applications (3 papers). Zhanhao Mo collaborates with scholars based in China, South Korea and United States. Zhanhao Mo's co-authors include Feng Shi, Dinggang Shen, Yaozong Gao, Liming Xia, Fei Shan, Bin Song, Ying Wei, Zhongxiang Ding, Dijia Wu and Huan Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and IEEE Transactions on Medical Imaging.

In The Last Decade

Zhanhao Mo

22 papers receiving 785 citations

Hit Papers

Triglyceride-glucose index, renal function and cardiovasc... 2023 2026 2024 2025 2023 20 40 60
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. Triglyceride-glucose index, renal function and cardiovascular disease: a national cohort study
    2023 73 citations Cancan Cui, Lin Liu et al. Cardiovascular Diabetology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhanhao Mo China 13 436 271 103 98 85 28 805
Norman Zerbe Germany 12 314 0.7× 501 1.8× 194 1.9× 103 1.1× 79 0.9× 34 780
Wenqi Shi United States 15 340 0.8× 225 0.8× 85 0.8× 118 1.2× 109 1.3× 79 954
Matteo Interlenghi Italy 15 577 1.3× 280 1.0× 76 0.7× 118 1.2× 53 0.6× 29 986
Carson Lam United States 13 606 1.4× 275 1.0× 179 1.7× 92 0.9× 172 2.0× 25 1.1k
Zhibin Liao Australia 14 352 0.8× 249 0.9× 124 1.2× 63 0.6× 52 0.6× 50 750
Bas H. M. van der Velden Netherlands 11 501 1.1× 438 1.6× 94 0.9× 167 1.7× 23 0.3× 27 972
Theresa Thai United States 12 519 1.2× 331 1.2× 170 1.7× 47 0.5× 39 0.5× 32 1.0k
Niels Olson United States 6 370 0.8× 467 1.7× 99 1.0× 137 1.4× 41 0.5× 9 734

Countries citing papers authored by Zhanhao Mo

Since Specialization
Citations

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

Fields of papers citing papers by Zhanhao Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanhao Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Zhanhao Mo. A scholar is included among the top collaborators of Zhanhao 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 Zhanhao Mo. Zhanhao 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.
2.
Sui, He, Zhanhao Mo, Feng Shi, et al.. (2025). Evaluation of non-motor symptoms in Parkinson’s disease using multiparametric MRI with the multiplex sequence. Frontiers in Aging Neuroscience. 17. 1602245–1602245.
3.
Mo, Zhanhao, et al.. (2024). Accelerating Brain MR Imaging With Multisequence and Convolutional Neural Networks. Brain and Behavior. 14(11). e70163–e70163.
4.
Cui, Cancan, Zhiyuan Wu, Yitian Qi, et al.. (2024). Arterial Stiffness and Obesity as Predictors of Diabetes: Longitudinal Cohort Study. JMIR Public Health and Surveillance. 10. e46088–e46088. 6 indexed citations
5.
Zhang, Yu, Zijun Song, Zhanhao Mo, et al.. (2024). Enhancing Radiologists’ Performance in Detecting Cerebral Aneurysms Using a Deep Learning Model: A Multicenter Study. Academic Radiology. 32(3). 1611–1620. 2 indexed citations
6.
Sui, He, Yu Gong, Lin Liu, et al.. (2023). Comparison of Artificial Intelligence-Assisted Compressed Sensing (ACS) and Routine Two-Dimensional Sequences on Lumbar Spine Imaging. Journal of Pain Research. Volume 16. 257–267. 12 indexed citations
7.
Cui, Cancan, Lin Liu, Te Zhang, et al.. (2023). Triglyceride-glucose index, renal function and cardiovascular disease: a national cohort study. Cardiovascular Diabetology. 22(1). 325–325. 73 indexed citations breakdown →
8.
Yang, Erkun, Lihong Wang, Zhanhao Mo, et al.. (2023). Brain morphometric features predict depression symptom phenotypes in late-life depression using a deep learning model. Frontiers in Neuroscience. 17. 1209906–1209906. 2 indexed citations
9.
Cui, Cancan, He Sui, Zhijia Wang, et al.. (2023). Thyroid hormone sensitivity and diabetes onset: a longitudinal cross-lagged cohort. Frontiers in Endocrinology. 14. 1267612–1267612. 4 indexed citations
10.
Mo, Zhanhao, et al.. (2023). Nanodrugs Reprogram Cancer-Associated Fibroblasts and Normalize Tumor Vasculatures for Sequentially Enhancing Photodynamic Therapy of Hepatocellular Carcinoma. International Journal of Nanomedicine. Volume 18. 6379–6391. 15 indexed citations
11.
Wang, Hai, Zhanhao Mo, He Sui, et al.. (2023). Association of baseline and dynamic arterial stiffness status with dyslipidemia: a cohort study. Frontiers in Endocrinology. 14. 1243673–1243673. 1 indexed citations
12.
Sui, He, Jin Li, Lin Liu, et al.. (2022). Accelerating Knee MRI: 3D Modulated Flip-Angle Technique in Refocused Imaging with an Extended Echo Train and Compressed Sensing. SHILAP Revista de lepidopterología. 4 indexed citations
13.
Huang, Pu, Dengwang Li, Zhicheng Jiao, et al.. (2022). Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network. Medical Image Analysis. 79. 102472–102472. 23 indexed citations
14.
Chen, Liyun, Fei Shan, Liming Xia, et al.. (2021). Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging. 21(1). 57–57. 6 indexed citations
15.
Di, Donglin, Feng Shi, Fuhua Yan, et al.. (2020). Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Analysis. 68. 101910–101910. 54 indexed citations
16.
Shi, Feng, Ying Wei, Liming Xia, et al.. (2020). Lung volume reduction and infection localization revealed in Big data CT imaging of COVID-19. International Journal of Infectious Diseases. 102. 316–318. 8 indexed citations
17.
Hua, Rui, Yaozong Gao, He Sui, et al.. (2020). Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images. Frontiers in Computational Neuroscience. 14. 9–9. 44 indexed citations
18.
Ji, Fujian, Xuebo Chen, Zhuo Liu, et al.. (2016). Expression and clinical significance of Beclin-1 in gastric cancer tissues of various clinical stages. Oncology Letters. 11(3). 2271–2277. 18 indexed citations
19.
Li, Shuo, Jing Li, Dan Shao, et al.. (2015). MiR-27a Promotes Hepatocellular Carcinoma Cell Proliferation Through Suppression of its Target Gene Peroxisome Proliferator-activated Receptor γ. Chinese Medical Journal. 128(7). 941–947. 46 indexed citations
20.
Mo, Zhanhao, et al.. (2014). Expression and Clinical Significance of MicroRNA-376a in Colorectal Cancer. Asian Pacific Journal of Cancer Prevention. 15(21). 9523–9527. 16 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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