Ling‐Ping Cen

1.9k total citations
48 papers, 1.1k citations indexed

About

Ling‐Ping Cen is a scholar working on Ophthalmology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ling‐Ping Cen has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ophthalmology, 18 papers in Molecular Biology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ling‐Ping Cen's work include Retinal Diseases and Treatments (16 papers), Glaucoma and retinal disorders (13 papers) and Nerve injury and regeneration (12 papers). Ling‐Ping Cen is often cited by papers focused on Retinal Diseases and Treatments (16 papers), Glaucoma and retinal disorders (13 papers) and Nerve injury and regeneration (12 papers). Ling‐Ping Cen collaborates with scholars based in China, Hong Kong and United States. Ling‐Ping Cen's co-authors include Tsz Kin Ng, Chi Pui Pang, Qi Cui, Mingzhi Zhang, Jiajian Liang, Ciyan Xu, Larry I. Benowitz, Hui-ya Gilbert, Yuqin Yin and Daniel J. Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Ling‐Ping Cen

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling‐Ping Cen China 18 396 392 388 237 182 48 1.1k
Cynthia Berlinicke United States 18 473 1.2× 1.0k 2.6× 358 0.9× 198 0.8× 201 1.1× 40 1.5k
Rouel S. Roque United States 21 299 0.8× 865 2.2× 414 1.1× 75 0.3× 167 0.9× 40 1.3k
Xi Shen China 22 127 0.3× 492 1.3× 709 1.8× 34 0.1× 322 1.8× 102 1.5k
Judy Drazba United States 14 193 0.5× 306 0.8× 149 0.4× 52 0.2× 70 0.4× 20 781
Daniel J. Kim United States 15 238 0.6× 748 1.9× 35 0.1× 161 0.7× 90 0.5× 18 1.4k
Gottfried Martin Germany 21 119 0.3× 571 1.5× 690 1.8× 18 0.1× 402 2.2× 55 1.3k
Keisuke Kouyama Japan 20 314 0.8× 727 1.9× 74 0.2× 37 0.2× 80 0.4× 27 1.7k
Hari Jayaram United Kingdom 26 213 0.5× 865 2.2× 1.1k 2.7× 63 0.3× 718 3.9× 76 2.0k
Sylvie Julien Germany 21 189 0.5× 590 1.5× 1.0k 2.7× 70 0.3× 701 3.9× 60 1.6k
Juan Amaral United States 18 109 0.3× 542 1.4× 536 1.4× 56 0.2× 250 1.4× 32 1.3k

Countries citing papers authored by Ling‐Ping Cen

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Ping Cen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐Ping Cen. 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 Ling‐Ping Cen. The network helps show where Ling‐Ping Cen may publish in the future.

Co-authorship network of co-authors of Ling‐Ping Cen

This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐Ping Cen. A scholar is included among the top collaborators of Ling‐Ping Cen 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 Ling‐Ping Cen. Ling‐Ping Cen 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.
Wong, Wendy, Krithi Pushpanathan, Sahana Srinivasan, et al.. (2025). Comparative analysis of generic vision-language models in detecting and diagnosing inherited retinal diseases using fundus photographs. Eye. 39(17). 3187–3194.
2.
Liang, Jiajian, Hui Zhou, Shaoying Tan, et al.. (2025). Contrasting pathophysiological mechanisms of OPA1 mutations in autosomal dominant optic atrophy. Cell Death Discovery. 11(1). 259–259.
3.
Cen, Ling‐Ping, et al.. (2024). The Role of Gut Microbiota in Neuromyelitis Optica Spectrum Disorder. International Journal of Molecular Sciences. 25(6). 3179–3179. 6 indexed citations
4.
Chen, Yun, Taiping Li, Yun Wang, et al.. (2024). Visual outcome of various dose of glucocorticoids treatment in nonarteritic anterior ischemic optic neuropathy– a retrospective analysis. BMC Ophthalmology. 24(1). 100–100. 2 indexed citations
5.
Cen, Ling‐Ping, Tsz Kin Ng, Jie Ji, et al.. (2023). Artificial Intelligence-based database for prediction of protein structure and their alterations in ocular diseases. Database. 2023. 3 indexed citations
6.
Ng, Tsz Kin, Jie Ji, Qingping Liu, et al.. (2023). Evaluation of Myocilin Variant Protein Structures Modeled by AlphaFold2. Biomolecules. 14(1). 14–14. 12 indexed citations
7.
Ng, Danny Siu‐Chun, Ling‐Ping Cen, Tsz Kin Ng, et al.. (2023). Multi-Polymorphism Analysis Reveals Joint Effects in Males With Chronic Central Serous Chorioretinopathy. Investigative Ophthalmology & Visual Science. 64(4). 19–19. 1 indexed citations
8.
Zhang, Guihua, et al.. (2023). Choroidal Vascular Density Quantification in High Myopia with or without Choroidal Neovascularization Using Optical Coherence Tomography Angiography. Journal of Ophthalmology. 2023(1). 1504834–1504834. 6 indexed citations
9.
Huang, Yao, Jiajian Liang, Yanxuan Xu, et al.. (2023). Casein kinase-2 inhibition promotes retinal ganglion cell survival after acute intraocular pressure elevation. Neural Regeneration Research. 19(5). 1112–1118.
10.
Tang, Yiwen, Jie Ji, Jianwei Lin, et al.. (2023). Automatic Detection of Peripheral Retinal Lesions From Ultrawide-Field Fundus Images Using Deep Learning. Asia-Pacific Journal of Ophthalmology. 12(3). 284–292. 7 indexed citations
11.
Xie, Lili, Ling‐Ping Cen, Hui-ya Gilbert, et al.. (2022). Monocyte-derived SDF1 supports optic nerve regeneration and alters retinal ganglion cells’ response to Pten deletion. Proceedings of the National Academy of Sciences. 119(15). e2113751119–e2113751119. 37 indexed citations
12.
Zhang, Guihua, Jianwei Lin, Jie Ji, et al.. (2022). Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study. BMJ Open. 12(7). e060155–e060155. 9 indexed citations
13.
Cen, Ling‐Ping, et al.. (2020). Vision Loss after Facial Injection of Hyaluronic Acid. Ophthalmology. 127(10). 1330–1330. 4 indexed citations
14.
15.
Ng, Tsz Kin, Fang Lü, Gary H. F. Yam, et al.. (2016). Protective effects of an HTRA1 insertion–deletion variant against age-related macular degeneration in the Chinese populations. Laboratory Investigation. 97(1). 43–52. 6 indexed citations
16.
Chen, Jian‐Huan, Chukai Huang, Bi Ning Zhang, et al.. (2016). Mutations of RagA GTPase in mTORC1 Pathway Are Associated with Autosomal Dominant Cataracts. PLoS Genetics. 12(6). e1006090–e1006090. 23 indexed citations
17.
18.
Cen, Ling‐Ping, Jian-Min Luo, Yiqun Geng, et al.. (2012). Long-term survival and axonal regeneration of retinal ganglion cells after optic nerve transection and a peripheral nerve graft. Neuroreport. 23(11). 692–697. 12 indexed citations
19.
Peng, Jinyun, et al.. (2012). Electropolymerization of Acid Chrome Blue K on Glassy Carbon Electrode for the Determination of Curcumin. Journal of the Chinese Chemical Society. 59(11). 1415–1420. 26 indexed citations
20.
Huang, Yao, Ling‐Ping Cen, Jian-Min Luo, et al.. (2008). Differential roles of phosphatidylinositol 3-kinase/akt pathway in retinal ganglion cell survival in rats with or without acute ocular hypertension. Neuroscience. 153(1). 214–225. 25 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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