Heping Xu
About
Heping Xu is a scholar working on Ophthalmology, Immunology and Molecular Biology.
According to data from OpenAlex, Heping Xu has authored 191 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Ophthalmology, 68 papers in Immunology and 55 papers in Molecular Biology. Recurrent topics in Heping Xu's work include Retinal Diseases and Treatments (91 papers), Neuroinflammation and Neurodegeneration Mechanisms (44 papers) and Ocular Diseases and Behçet’s Syndrome (29 papers). Heping Xu is often cited by papers focused on Retinal Diseases and Treatments (91 papers), Neuroinflammation and Neurodegeneration Mechanisms (44 papers) and Ocular Diseases and Behçet’s Syndrome (29 papers). Heping Xu collaborates with scholars based in United Kingdom, China and United States. Heping Xu's co-authors include Mei Chen, John V. Forrester, Chang Luo, Janet Liversidge, Ayyakkannu Manivannan, Isabel J. Crane, Sofia Pavlou, Jiawu Zhao, Noemi Lois and Andrew D. Dick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
In The Last Decade
Heping Xu
186 papers receiving 8.3k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Heping Xu United Kingdom | 55 | 4.1k | 2.6k | 2.4k | 1.8k | 1.6k | 191 | 8.4k | ||
| Rajendra S. Apte United States | 44 | 3.4k 0.8× | 2.9k 1.1× | 1.3k 0.5× | 561 0.3× | 2.2k 1.4× | 156 | 8.6k | ||
| Tatsuro Ishibashi Japan | 49 | 5.2k 1.3× | 3.7k 1.4× | 1.7k 0.7× | 741 0.4× | 3.4k 2.2× | 235 | 9.7k | ||
| Balamurali K. Ambati United States | 40 | 3.5k 0.8× | 2.3k 0.9× | 844 0.4× | 502 0.3× | 2.4k 1.5× | 131 | 6.4k | ||
| Robert F. Mullins United States | 61 | 7.3k 1.8× | 7.3k 2.8× | 1.2k 0.5× | 765 0.4× | 4.2k 2.7× | 259 | 13.2k | ||
| Jeffrey L. Goldberg United States | 49 | 1.4k 0.4× | 4.8k 1.8× | 464 0.2× | 549 0.3× | 1.1k 0.7× | 224 | 9.4k | ||
| M. Elizabeth Fini United States | 47 | 1.5k 0.4× | 2.6k 1.0× | 536 0.2× | 744 0.4× | 3.0k 1.9× | 115 | 8.5k | ||
| Jianbo Yue United States | 51 | 2.6k 0.6× | 3.4k 1.3× | 442 0.2× | 290 0.2× | 2.2k 1.4× | 232 | 8.8k | ||
| Chi‐Chao Chan United States | 71 | 9.2k 2.2× | 4.7k 1.8× | 4.7k 2.0× | 1.1k 0.6× | 2.4k 1.5× | 397 | 18.4k | ||
| Taiji Sakamoto Japan | 49 | 6.8k 1.7× | 2.2k 0.8× | 433 0.2× | 264 0.1× | 5.1k 3.2× | 402 | 9.0k | ||
| Yutao Liu United States | 41 | 1.2k 0.3× | 3.9k 1.5× | 500 0.2× | 234 0.1× | 984 0.6× | 179 | 6.3k |
Countries citing papers authored by Heping Xu
Since
Specialization
Citations
This map shows the geographic impact of Heping Xu'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 Heping Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heping Xu more than expected).
Fields of papers citing papers by Heping Xu
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Heping Xu. 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 Heping Xu. The network helps show where Heping Xu may publish in the future.
Co-authorship network of co-authors of Heping Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Heping Xu. A scholar is included among the top collaborators of Heping Xu 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 Heping Xu. Heping Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Jin, Xin, Hong Zhang, Caiyun You, et al.. (2025). Single-cell transcriptome combined with genetic tracing reveals a roadmap of fibrosis formation during proliferative vitreoretinopathy. Proceedings of the National Academy of Sciences. 122(37). e2424487122–e2424487122.
2.
Prestle, J., et al.. (2025). Nintedanib Induces Mesenchymal-to-Epithelial Transition and Reduces Subretinal Fibrosis Through Metabolic Reprogramming. International Journal of Molecular Sciences. 26(15). 7131–7131.
3.
Yang, Chen, Fang Zheng, Guifang Li, et al.. (2024). METTL1 mediates PKM m7G modification to regulate CD155 expression and promote immune evasion in colorectal cancer. Journal of Translational Medicine. 22(1). 1161–1161.
4.
Lois, Noemi, David Armstrong, José R. Hombrebueno, et al.. (2023). Peripheral Blood Mononuclear Cells from Patients with Type 1 Diabetes and Diabetic Retinopathy Produce Higher Levels of IL-17A, IL-10 and IL-6 and Lower Levels of IFN-γ—A Pilot Study. Cells. 12(3). 467–467.
5.
Du, Xuan, et al.. (2022). Minocycline Inhibits Microglial Activation and Improves Visual Function in a Chronic Model of Age-Related Retinal Degeneration. Biomedicines. 10(12). 3222–3222.
6.
Augustine, Josy, et al.. (2022). Wedelolactone Attenuates N-methyl-N-nitrosourea-Induced Retinal Neurodegeneration through Suppression of the AIM2/CASP11 Pathway. Biomedicines. 10(2). 311–311.
7.
Zeng, Ling, et al.. (2021). RNA-Seq Analysis Reveals an Essential Role of the Tyrosine Metabolic Pathway and Inflammation in Myopia-Induced Retinal Degeneration in Guinea Pigs. International Journal of Molecular Sciences. 22(22). 12598–12598.
8.
Błasiak, Janusz, Ali Koskela, Elżbieta Pawłowska, et al.. (2021). Epithelial-Mesenchymal Transition and Senescence in the Retinal Pigment Epithelium of NFE2L2/PGC-1α Double Knock-Out Mice. International Journal of Molecular Sciences. 22(4). 1684–1684.
9.
Du, Xuan, Rosana Peñalva, Karis Little, et al.. (2021). Deletion of Socs3 in LysM+ cells and Cx3cr1 resulted in age-dependent development of retinal microgliopathy. Molecular Neurodegeneration. 16(1). 9–9.
10.
Heloterä, Hanna, Ali Koskela, Juha M. T. Hyttinen, et al.. (2021). Oxidative Stress and Mitochondrial Damage in Dry Age-Related Macular Degeneration Like NFE2L2/PGC-1α -/- Mouse Model Evoke Complement Component C5a Independent of C3. Biology. 10(7). 622–622.
11.
Subrizi, Astrid, Stefano Salmaso, Francesca Mastrotto, et al.. (2021). Screening of chemical linkers for development of pullulan bioconjugates for intravitreal ocular applications. European Journal of Pharmaceutical Sciences. 161. 105785–105785.
12.
Little, Karis, María Llorián‐Salvador, Miao Tang, et al.. (2020). Macrophage to myofibroblast transition contributes to subretinal fibrosis secondary to neovascular age-related macular degeneration. Journal of Neuroinflammation. 17(1).
13.
Liu, Jian, Miao Tang, Xuan Du, et al.. (2020). Single‐cell RNA sequencing study of retinal immune regulators identified CD47 and CD59a expression in photoreceptors—Implications in subretinal immune regulation. Journal of Neuroscience Research. 98(7). 1498–1513.
14.
Lechner, Judith, José R. Hombrebueno, Edoardo Pedrini, Mei Chen, & Heping Xu. (2019). Sustained intraocular vascular endothelial growth factor neutralisation does not affect retinal and choroidal vasculature in Ins2Akita diabetic mice. Diabetes and Vascular Disease Research. 16(5). 440–449.
15.
Wan, Jian‐Bo, et al.. (2019). Higher aqueous levels of matrix metalloproteinases indicated visual impairment in patients with retina vein occlusion after anti-VEGF therapy. British Journal of Ophthalmology. 105(7). 1029–1034.
16.
Hombrebueno, José R., Timothy J. Lyons, Derek P. Brazil, et al.. (2019). Uncoupled turnover disrupts mitochondrial quality control in diabetic retinopathy. JCI Insight. 4(23).
17.
Chen, Mei, Jiawu Zhao, Imran Ali, et al.. (2018). Cytokine Signaling Protein 3 Deficiency in Myeloid Cells Promotes Retinal Degeneration and Angiogenesis through Arginase-1 Up-Regulation in Experimental Autoimmune Uveoretinitis. American Journal Of Pathology. 188(4). 1007–1020.
18.
Wang, Luping, et al.. (2018). Modulation of three key innate immune pathways for the most common retinal degenerative diseases. EMBO Molecular Medicine. 10(10).
19.
Curtis, Tim M., et al.. (2017). Zinc Protects Oxidative Stress‐Induced RPE Death by Reducing Mitochondrial Damage and Preventing Lysosome Rupture. Oxidative Medicine and Cellular Longevity. 2017(1). 6926485–6926485.
20.
Lechner, Judith, Mei Chen, Ruth Hogg, et al.. (2017). Peripheral blood mononuclear cells from neovascular age-related macular degeneration patients produce higher levels of chemokines CCL2 (MCP-1) and CXCL8 (IL-8). Journal of Neuroinflammation. 14(1). 42–42.
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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