Zhonghua Sun

9.9k total citations
464 papers, 7.0k citations indexed

About

Zhonghua Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Zhonghua Sun has authored 464 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Radiology, Nuclear Medicine and Imaging, 174 papers in Biomedical Engineering and 136 papers in Surgery. Recurrent topics in Zhonghua Sun's work include Cardiac Imaging and Diagnostics (136 papers), Advanced X-ray and CT Imaging (121 papers) and Radiation Dose and Imaging (79 papers). Zhonghua Sun is often cited by papers focused on Cardiac Imaging and Diagnostics (136 papers), Advanced X-ray and CT Imaging (121 papers) and Radiation Dose and Imaging (79 papers). Zhonghua Sun collaborates with scholars based in Australia, China and Malaysia. Zhonghua Sun's co-authors include Thanapong Chaichana, Lei Xu, James Jewkes, Ivan Lau, Akmal Sabarudin, Kwan Hoong Ng, Curtise K. C. Ng, Kwan-Hoong Ng, Zhanming Fan and Andrew Squelch and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Zhonghua Sun

426 papers receiving 6.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhonghua Sun Australia 41 3.2k 2.7k 2.5k 1.8k 1.7k 464 7.0k
Umberto Morbiducci Italy 39 734 0.2× 1.4k 0.5× 2.5k 1.0× 2.6k 1.4× 1.8k 1.1× 216 5.5k
David N. Ku United States 46 1.3k 0.4× 2.1k 0.8× 4.9k 1.9× 3.9k 2.2× 3.8k 2.3× 182 10.5k
Liang Zhong China 41 1.4k 0.4× 975 0.4× 1.5k 0.6× 2.2k 1.2× 1.2k 0.7× 400 8.5k
Francisco Fernández‐Avilés Spain 49 2.2k 0.7× 877 0.3× 4.1k 1.6× 7.1k 4.0× 835 0.5× 447 10.8k
Mani A. Vannan United States 39 2.4k 0.8× 1.1k 0.4× 1.3k 0.5× 5.0k 2.8× 894 0.5× 146 7.2k
Donghoon Choi South Korea 55 2.9k 0.9× 925 0.3× 7.7k 3.0× 6.4k 3.6× 3.5k 2.1× 745 13.9k
Young‐Hak Kim South Korea 57 7.0k 2.2× 1.1k 0.4× 9.8k 3.9× 8.1k 4.6× 2.6k 1.5× 480 13.3k
Seong‐Wook Park South Korea 51 5.0k 1.6× 978 0.4× 7.0k 2.8× 5.4k 3.0× 2.0k 1.2× 425 10.0k
Jae‐Joong Kim South Korea 50 2.8k 0.9× 428 0.2× 5.3k 2.1× 6.1k 3.4× 1.7k 1.0× 403 9.1k
William C. Little United States 60 3.1k 1.0× 1.1k 0.4× 2.9k 1.1× 10.2k 5.7× 1.7k 1.0× 227 13.7k

Countries citing papers authored by Zhonghua Sun

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghua Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonghua Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonghua Sun. A scholar is included among the top collaborators of Zhonghua Sun 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 Zhonghua Sun. Zhonghua Sun 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, Mengdi, et al.. (2025). Image Findings from Dual-phase Computed Tomography Pulmonary Angiography for Diagnosing Tuberculosis-associated Fibrosing Mediastinitis. Current Medical Imaging Formerly Current Medical Imaging Reviews. 21. e15734056324457–e15734056324457.
2.
He, Huan, et al.. (2025). Exposure to volatile organic compounds and suicidal ideation: Insights from a U.S. population-based study. Journal of Affective Disorders. 379. 194–203. 1 indexed citations
3.
Liu, Yi, Cuixin Chen, Huifen Peng, et al.. (2024). Wire-arc directed energy deposition of oxide-modified H13 steel: Microstructural characterization and mechanical properties. Materials Science and Engineering A. 911. 146962–146962. 5 indexed citations
4.
Squelch, Andrew, et al.. (2024). Investigation of the Clinical Value of Four Visualization Modalities for Congenital Heart Disease. Journal of Cardiovascular Development and Disease. 11(9). 278–278.
5.
6.
Zhang, Mengdi, Hanxi Zhang, Jing Wang, et al.. (2024). CT Imaging Findings of Pulmonary Artery Stenosis: A Pictorial Review. Diagnostics. 14(16). 1762–1762.
7.
Li, Fujie, et al.. (2024). Vascular endothelial growth factor facilitates the effects of telocytes on tumor cell proliferation and migration. Frontiers in Cell and Developmental Biology. 12. 1474682–1474682. 2 indexed citations
8.
Zhang, Nan, Lili Pan, Jiayi Liu, et al.. (2023). Analysis of coronary computed tomography angiography-derived pericoronary fat attenuation index characteristics in the diagnostic assessment of patients with Takayasu arteritis. Quantitative Imaging in Medicine and Surgery. 13(10). 7142–7155. 2 indexed citations
9.
Ng, Curtise K. C., Zhonghua Sun, & Shirley Jansen. (2023). Comparison of Performance of Micro-Computed Tomography (Micro-CT) and Synchrotron Radiation CT in Assessing Coronary Stenosis Caused by Calcified Plaques in Coronary Artery Phantoms. SHILAP Revista de lepidopterología. 2(3). 338–350. 1 indexed citations
10.
Gupta, Ashu, et al.. (2023). Investigation of the Relationship between Right Coronary Artery–Aorta Angle and Coronary Artery Disease and Associated Risk Factors. Journal of Clinical Medicine. 12(3). 1051–1051. 1 indexed citations
11.
Sun, Zhonghua, et al.. (2023). Three-Dimensional Printed Liver Models for Surgical Planning and Intraoperative Guidance of Liver Cancer Resection: A Systematic Review. Applied Sciences. 13(19). 10757–10757. 5 indexed citations
12.
Chen, Yan, Nan Zhang, Jiayi Liu, et al.. (2023). Prognostic Significance of Cardiac Magnetic Resonance in Left Atrial and Biventricular Strain Analysis during the Follow-Up of Suspected Myocarditis. Journal of Clinical Medicine. 12(2). 457–457. 5 indexed citations
13.
Zhang, Hao, et al.. (2020). ACAT2 Promotes Cell Proliferation and Associates with Malignant Progression in Colorectal Cancer. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Zhang, Wu, et al.. (2020). The Size-dependent Cytotoxicity of Amorphous Silica Nanoparticles: A Systematic Review of in vitro Studies. SHILAP Revista de lepidopterología.
15.
Chang, Yu, Xiaojiang Wu, Li L, et al.. (2019). Clinical features and prognostic factors of primary bone marrow lymphoma. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Li, Yongshu, Liu X, Pan Y, et al.. (2019). SPIONs enhances IL-10-producing macrophages to relieve sepsis via Cav1-Notch1/HES1-mediated autophagy. SHILAP Revista de lepidopterología. 6 indexed citations
17.
Yan, Yu, et al.. (2017). Silica nanoparticles induce autophagy dysfunction via lysosomal impairment and inhibition of autophagosome degradation in hepatocytes. SHILAP Revista de lepidopterología. 4 indexed citations
18.
19.
Sun, Zhonghua, et al.. (2012). Use of coronary CT angiography in the diagnosis of patients with suspected coronary artery disease: findings and clinical indications. Journal of Geriatric Cardiology. 9(2). 115–122. 6 indexed citations
20.
Chaichana, Thanapong, James Jewkes, & Zhonghua Sun. (2011). Computational fluid dynamics analysis of the effect of simulated plaques in the left coronary artery: A preliminary study. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 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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