Zhihui Dong

2.7k total citations
168 papers, 1.8k citations indexed

About

Zhihui Dong is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Zhihui Dong has authored 168 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Surgery, 81 papers in Pulmonary and Respiratory Medicine and 38 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Zhihui Dong's work include Aortic aneurysm repair treatments (54 papers), Aortic Disease and Treatment Approaches (49 papers) and Peripheral Artery Disease Management (24 papers). Zhihui Dong is often cited by papers focused on Aortic aneurysm repair treatments (54 papers), Aortic Disease and Treatment Approaches (49 papers) and Peripheral Artery Disease Management (24 papers). Zhihui Dong collaborates with scholars based in China, United Kingdom and United States. Zhihui Dong's co-authors include Weiguo Fu, Daqiao Guo, Xin Xu, Bin Chen, Xiao Yun Xu, Yuqi Wang, Baolei Guo, Selene Pirola, Weiguo Fu and Zhiping Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The Science of The Total Environment.

In The Last Decade

Zhihui Dong

155 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhihui Dong China 22 808 632 514 350 151 168 1.8k
Armin J. Reininger Germany 27 689 0.9× 612 1.0× 887 1.7× 330 0.9× 234 1.5× 64 2.8k
Anne Cornelissen United States 17 304 0.4× 565 0.9× 472 0.9× 306 0.9× 118 0.8× 58 1.6k
Maciej L. Dryjski United States 26 969 1.2× 1.1k 1.7× 480 0.9× 252 0.7× 75 0.5× 93 1.9k
Rajabrata Sarkar United States 26 649 0.8× 797 1.3× 525 1.0× 662 1.9× 85 0.6× 101 2.5k
Weiguo Fu China 22 1.0k 1.3× 828 1.3× 399 0.8× 220 0.6× 109 0.7× 162 1.7k
Maria Romero United States 22 500 0.6× 730 1.2× 755 1.5× 246 0.7× 100 0.7× 62 1.9k
Hao Lai China 22 391 0.5× 391 0.6× 264 0.5× 419 1.2× 193 1.3× 131 1.5k
Afshin Ehsan United States 20 368 0.5× 880 1.4× 504 1.0× 884 2.5× 165 1.1× 83 2.2k
Christos V. Ioannou Greece 25 1.4k 1.7× 715 1.1× 851 1.7× 137 0.4× 125 0.8× 171 2.4k
Nicolas Chronos United States 21 438 0.5× 1.0k 1.6× 673 1.3× 482 1.4× 118 0.8× 51 1.8k

Countries citing papers authored by Zhihui Dong

Since Specialization
Citations

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

Fields of papers citing papers by Zhihui Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihui Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihui Dong. A scholar is included among the top collaborators of Zhihui Dong 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 Zhihui Dong. Zhihui Dong 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.
Xu, Jianwei, Dongyan Wang, Zhihui Dong, et al.. (2025). The Role of Methylation in Neurodegenerative Diseases: Insights From a Bibliometric Study. Brain and Behavior. 15(8). e70732–e70732.
2.
Dong, Zhihui, et al.. (2025). Recent advances in adipose-derived mesenchymal stem cell-derived exosomes for regulating macrophage polarization. Frontiers in Immunology. 16. 1525466–1525466. 13 indexed citations
3.
Qiao, Guanyu & Zhihui Dong. (2024). Endovascular Repair of a Giant Right Subclavian Artery Aneurysm. European Journal of Vascular and Endovascular Surgery. 68(2). 279–279.
4.
Wang, Kaihong, et al.. (2024). A new method for scaling inlet flow waveform in hemodynamic analysis of aortic dissection. International Journal for Numerical Methods in Biomedical Engineering. 40(9). e3855–e3855. 1 indexed citations
5.
Li, Ya, Lin Jiang, Qian Yi, et al.. (2024). Insertional mutagenesis of AIDA or CYP720B1 in the green alga Chlamydomonas reinhardtii confers copper(II) tolerance and increased biomass. Journal of Hazardous Materials. 486. 137026–137026. 1 indexed citations
6.
7.
Zhuang, Tao, Jinjia Chang, Yanping Zhou, et al.. (2023). A2AR-mediated lymphangiogenesis via VEGFR2 signaling prevents salt-sensitive hypertension. European Heart Journal. 44(29). 2730–2742. 16 indexed citations
8.
Jiang, Xuewei, Zhihui Dong, & Weiguo Fu. (2023). [Current status and challenges of endovascular repair for Stanford type A aortic dissection].. PubMed. 61(12). 1046–1050. 1 indexed citations
9.
Ma, Tao, et al.. (2023). Towards biomechanics-based pre-procedural planning for thoracic endovascular aortic repair of aortic dissection. Computer Methods and Programs in Biomedicine. 244. 107994–107994. 6 indexed citations
10.
Ma, Tao, et al.. (2023). Hemodynamic parameters impact the stability of distal stent graft-induced new entry. Scientific Reports. 13(1). 12123–12123. 3 indexed citations
11.
Yuan, Xun, et al.. (2023). Nonsurgical Repair of the Ascending Aorta: Why Less Is More. Journal of Clinical Medicine. 12(14). 4771–4771.
12.
Guo, Baolei, Simone Saitta, Daqiao Guo, et al.. (2022). The Role of Multiple Re-Entry Tears in Type B Aortic Dissection Progression: A Longitudinal Study Using a Controlled Swine Model. Journal of Endovascular Therapy. 31(1). 104–114. 7 indexed citations
13.
14.
Guo, Baolei, Simone Saitta, Selene Pirola, et al.. (2021). Evaluation and verification of patient-specific modelling of type B aortic dissection. Computers in Biology and Medicine. 140. 105053–105053. 32 indexed citations
15.
Ma, Tao, et al.. (2021). Patient-specific simulation of stent-graft deployment in type B aortic dissection: model development and validation. Biomechanics and Modeling in Mechanobiology. 20(6). 2247–2258. 33 indexed citations
16.
Guo, Baolei, Selene Pirola, Simone Saitta, et al.. (2020). The influence of inlet velocity profile on predicted flow in type B aortic dissection. Biomechanics and Modeling in Mechanobiology. 20(2). 481–490. 62 indexed citations
17.
Zhu, Ting, Bin Chen, Xin Xu, et al.. (2020). Ten-Year Clinical Characteristics and Early Outcomes of Type B Aortic Dissection Patients With Thoracic Endovascular Aortic Repair. Vascular and Endovascular Surgery. 55(4). 332–341. 3 indexed citations
18.
Menichini, Claudia, Selene Pirola, Baolei Guo, et al.. (2018). High Wall Stress May Predict the Formation of Stent-Graft–Induced New Entries After Thoracic Endovascular Aortic Repair. Journal of Endovascular Therapy. 25(5). 571–577. 27 indexed citations
19.
Guan, Ying, Jing Lin, Zhihui Dong, & Lu Wang. (2018). Comparative Study of the Effect of Structural Parameters on the Flexibility of Endovascular Stent Grafts. Advances in Materials Science and Engineering. 2018(1). 11 indexed citations
20.
Li, Yongsheng, et al.. (2013). Application of the multi-planar reconstruction in endovascular treatment of type B aortic dissection. Chinese Medical Journal. 126(23). 4499–4503. 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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