Mingzhen Yuan

637 total citations
31 papers, 406 citations indexed

About

Mingzhen Yuan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mingzhen Yuan has authored 31 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ophthalmology, 26 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mingzhen Yuan's work include Retinal Diseases and Treatments (23 papers), Retinal Imaging and Analysis (20 papers) and Glaucoma and retinal disorders (13 papers). Mingzhen Yuan is often cited by papers focused on Retinal Diseases and Treatments (23 papers), Retinal Imaging and Analysis (20 papers) and Glaucoma and retinal disorders (13 papers). Mingzhen Yuan collaborates with scholars based in China, United Kingdom and United States. Mingzhen Yuan's co-authors include Youxin Chen, Jingyuan Yang, Erqian Wang, Xinyu Zhao, Lu Sun, Yuelin Wang, Feiyan Ma, Huiying Zhou, Igor Kozák and Huan Chen and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology and Survey of Ophthalmology.

In The Last Decade

Mingzhen Yuan

29 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingzhen Yuan China 11 298 256 52 43 38 31 406
Marc Figueras‐Roca Spain 14 294 1.0× 201 0.8× 65 1.3× 24 0.6× 25 0.7× 44 400
Robert B. Garoon United States 8 245 0.8× 131 0.5× 84 1.6× 65 1.5× 20 0.5× 15 302
Tina Herold Germany 10 377 1.3× 251 1.0× 32 0.6× 39 0.9× 22 0.6× 28 433
Jason F. Solus United States 9 238 0.8× 141 0.6× 73 1.4× 56 1.3× 29 0.8× 13 349
Quanyong Yi China 10 145 0.5× 108 0.4× 78 1.5× 20 0.5× 31 0.8× 47 278
Florian Baltă Romania 11 332 1.1× 246 1.0× 53 1.0× 11 0.3× 31 0.8× 40 416
Nour Maya N. Haddad United States 8 405 1.4× 331 1.3× 80 1.5× 11 0.3× 64 1.7× 14 496
Ahmed Souka Egypt 12 351 1.2× 238 0.9× 48 0.9× 9 0.2× 18 0.5× 24 383
William S. Gange United States 7 171 0.6× 90 0.4× 110 2.1× 19 0.4× 18 0.5× 21 275
F. Rouberol France 10 387 1.3× 241 0.9× 42 0.8× 29 0.7× 33 0.9× 24 412

Countries citing papers authored by Mingzhen Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhen Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingzhen Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Mingzhen Yuan. A scholar is included among the top collaborators of Mingzhen Yuan 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 Mingzhen Yuan. Mingzhen Yuan 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.
Hu, Yan, Hongli Shen, Mingzhen Yuan, et al.. (2025). COph100: A comprehensive fundus image registration dataset from infants constituting the “RIDIRP” database. Scientific Data. 12(1). 99–99.
2.
Li, Jiayu, et al.. (2024). Study of corneal and retinal thicknesses at five years after FS-LASIK and SMILE for myopia. BMC Ophthalmology. 24(1). 396–396. 1 indexed citations
4.
Ma, Feiyan, Mingzhen Yuan, & Igor Kozák. (2023). Multispectral imaging: Review of current applications. Survey of Ophthalmology. 68(5). 889–904. 20 indexed citations
5.
Liu, Jinghua, et al.. (2023). Retinal honeycomb appearance and its role in patients with X-linked retinoschisis. BMC Ophthalmology. 23(1). 85–85. 3 indexed citations
6.
Chen, Lulu, Mingzhen Yuan, Lu Sun, & Youxin Chen. (2023). Different Morphology of Branching Neovascular Network in Polypoidal Choroidal Vasculopathy: A Swept-Source Optical Coherence Tomography Angiography Study. Journal of Clinical Medicine. 12(3). 742–742. 4 indexed citations
7.
Yang, Jingyuan, Mingzhen Yuan, Junde Wu, et al.. (2022). Validating automated eye disease screening AI algorithm in community and in-hospital scenarios. Frontiers in Public Health. 10. 944967–944967. 14 indexed citations
8.
Chen, Lulu, Mingzhen Yuan, Lu Sun, & Youxin Chen. (2022). Three-Dimensional Analysis of Choroidal Vessels in the Eyes of Patients With Unilateral BRVO. Frontiers in Medicine. 9. 854184–854184. 10 indexed citations
9.
Yuan, Mingzhen, Feiyan Ma, Lulu Chen, & Youxin Chen. (2022). Multi-spectral imaging in adult-onset foveomacular vitelliform dystrophy: Report of two cases. American Journal of Ophthalmology Case Reports. 26. 101542–101542. 1 indexed citations
10.
Li, Bing, Huan Chen, Mingzhen Yuan, et al.. (2021). Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography. British Journal of Ophthalmology. 106(8). bjophthalmol–2020. 31 indexed citations
11.
Chen, Lulu, Mingzhen Yuan, Lu Sun, Yuelin Wang, & Youxin Chen. (2020). Evaluation of microvascular network with optical coherence tomography angiography (OCTA) in branch retinal vein occlusion (BRVO). BMC Ophthalmology. 20(1). 154–154. 22 indexed citations
12.
Zhou, Huiying, Xinyu Zhao, Mingzhen Yuan, & Youxin Chen. (2020). Comparison of cytokine levels in the aqueous humor of polypoidal choroidal vasculopathy and neovascular age-related macular degeneration patients. BMC Ophthalmology. 20(1). 15–15. 32 indexed citations
13.
Chen, Lulu, Mingzhen Yuan, Lu Sun, & Youxin Chen. (2020). Choroidal thickening in retinal vein occlusion patients with serous retinal detachment. Graefe s Archive for Clinical and Experimental Ophthalmology. 259(4). 883–889. 9 indexed citations
14.
Yuan, Mingzhen. (2019). Comparison of OCT and OCTA manifestations among untreated PCV, neovascular AMD, and CSC in Chinese population. International Journal of Ophthalmology. 13(1). 93–103. 9 indexed citations
15.
Yang, Jingyuan, Erqian Wang, Xinyu Zhao, et al.. (2019). Optical coherence tomography angiography analysis of the choriocapillary layer in treatment-naïve diabetic eyes. Graefe s Archive for Clinical and Experimental Ophthalmology. 257(7). 1393–1399. 30 indexed citations
16.
Yang, Jingyuan, et al.. (2019). Noninvasive multimodal imaging in diagnosing polypoidal choroidal vasculopathy. BMC Ophthalmology. 19(1). 229–229. 10 indexed citations
18.
Jia, Hongying, Jun‐Li Liu, Mingzhen Yuan, et al.. (2015). Regulation Roles of MICA and NKG2D in Human Renal Cancer Cells. Asian Pacific Journal of Cancer Prevention. 16(9). 3901–3905. 3 indexed citations
19.
Jia, Hongying, Junli Liu, Chengjun Zhou, et al.. (2014). High Expression of MICA in Human Kidney Cancer Tissue and Renal Cell Carcinoma Lines. Asian Pacific Journal of Cancer Prevention. 15(4). 1715–1717. 10 indexed citations
20.
Yuan, Mingzhen, et al.. (2010). Assessment of Choroidal Blood Flow Parameters Using Flom-S Laser Doppler Flowmeter: Reproducibility and Effect of Intense Light Exposure. Investigative Ophthalmology & Visual Science. 51(13). 5038–5038. 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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