David A. Copland

2.3k total citations
54 papers, 1.5k citations indexed

About

David A. Copland is a scholar working on Immunology, Ophthalmology and Molecular Biology. According to data from OpenAlex, David A. Copland has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 26 papers in Ophthalmology and 16 papers in Molecular Biology. Recurrent topics in David A. Copland's work include Ocular Diseases and Behçet’s Syndrome (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers) and Retinal Diseases and Treatments (11 papers). David A. Copland is often cited by papers focused on Ocular Diseases and Behçet’s Syndrome (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers) and Retinal Diseases and Treatments (11 papers). David A. Copland collaborates with scholars based in United Kingdom, Germany and United States. David A. Copland's co-authors include Andrew D. Dick, Lindsay B. Nicholson, Ben J. E. Raveney, Jian Liu, Sofia Theodoropoulou, Keng Siang Lee, Heping Xu, Jiahui Wu, Colin J. Chu and Claudia J. Calder and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

David A. Copland

53 papers receiving 1.5k citations

Peers

David A. Copland
Takeru Yoshimura Japan
Defen Shen United States
Guangpu Shi United States
Jose G Ruiz de Morales Spain
P. R. Egbert United States
Emily G. O’Koren United States
Rafael Ufret-Vincenty United States
Y Matsumoto Japan
Farzin Forooghian Canada
Chitra Kannabiran India
Takeru Yoshimura Japan
David A. Copland
Citations per year, relative to David A. Copland David A. Copland (= 1×) peers Takeru Yoshimura

Countries citing papers authored by David A. Copland

Since Specialization
Citations

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

Fields of papers citing papers by David A. Copland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Copland. 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 David A. Copland. The network helps show where David A. Copland may publish in the future.

Co-authorship network of co-authors of David A. Copland

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Copland. A scholar is included among the top collaborators of David A. Copland 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 David A. Copland. David A. Copland 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.
Ward, Amy, Colin J. Chu, Sarah E. Coupland, et al.. (2025). IL-23 drives uveitis by acting on a population of tissue-resident entheseal T cells. JCI Insight. 10(19).
2.
Clare, Alison J., et al.. (2025). Characterization of the ocular inflammatory response to AAV reveals divergence by sex and age. Molecular Therapy. 33(3). 1246–1263. 6 indexed citations
3.
Hu, Xiao, Yanli Zou, David A. Copland, et al.. (2022). Epigenetic drug screen identified IOX1 as an inhibitor of Th17-mediated inflammation through targeting TET2. EBioMedicine. 86. 104333–104333. 8 indexed citations
4.
Liu, Jian, et al.. (2021). Quantitative Assessment of Experimental Ocular Inflammatory Disease. Frontiers in Immunology. 12. 630022–630022. 8 indexed citations
5.
Lee, Keng Siang, et al.. (2021). Cellular senescence in the aging retina and developments of senotherapies for age-related macular degeneration. Journal of Neuroinflammation. 18(1). 32–32. 104 indexed citations
6.
Copland, David A., Sofia Theodoropoulou, Sonja Mertsch, et al.. (2020). Treatment of diabetic retinopathy through neuropeptide Y‐mediated enhancement of neurovascular microenvironment. Journal of Cellular and Molecular Medicine. 24(7). 3958–3970. 15 indexed citations
7.
Chu, Colin J., Jiahui Wu, David A. Copland, et al.. (2019). Gene therapy for Glaucoma by CRISPR-Cas9 mediated disruption of Aquaporin 1 in the Ciliary Body. Investigative Ophthalmology & Visual Science. 60(9). 5120–5120. 1 indexed citations
8.
Mertsch, Sonja, Sofia Theodoropoulou, Jiahui Wu, et al.. (2019). Müller Cells Stabilize Microvasculature through Hypoxic Preconditioning. Cellular Physiology and Biochemistry. 52(4). 668–680. 12 indexed citations
9.
Liu, Jian, David A. Copland, Sofia Theodoropoulou, et al.. (2016). Impairing autophagy in retinal pigment epithelium leads to inflammasome activation and enhanced macrophage-mediated angiogenesis. Scientific Reports. 6(1). 20639–20639. 72 indexed citations
10.
Sakthivel, Priya, Angele Breithaupt, Marcus Gereke, et al.. (2016). Soluble CD200 Correlates With Interleukin-6 Levels in Sera of COPD Patients: Potential Implication of the CD200/CD200R Axis in the Disease Course. Lung. 195(1). 59–68. 9 indexed citations
11.
Wei-kang, WU, Anastasios Georgiadis, David A. Copland, et al.. (2015). IL-4 Regulates Specific Arg-1+ Macrophage sFlt-1–Mediated Inhibition of Angiogenesis. American Journal Of Pathology. 185(8). 2324–2335. 32 indexed citations
12.
Xu, Yunhe, et al.. (2015). Activated adult microglia influence retinal progenitor cell proliferation and differentiation toward recoverin-expressing neuron-like cells in a co-culture model. Graefe s Archive for Clinical and Experimental Ophthalmology. 253(7). 1085–1096. 9 indexed citations
13.
Theodoropoulou, Sofia, David A. Copland, Jian Liu, & Andrew D. Dick. (2015). Role of interleukin 33/ST2 axis in the immune-mediated pathogenesis of age-related macular degeneration. The Lancet. 385. S97–S97. 8 indexed citations
14.
Nicholls, Susan M., et al.. (2014). Local targeting of the CD200-CD200R axis does not promote corneal graft survival. Experimental Eye Research. 130. 1–8. 3 indexed citations
15.
Hori, Junko, David A. Copland, Jian Liu, et al.. (2013). CD200 Receptor signaling subverts pro-angiogenic macrophage phenotype generation and experimental chorioretinal neovascularisation. Investigative Ophthalmology & Visual Science. 54(15). 155–155. 1 indexed citations
16.
17.
Liu, Jian, David A. Copland, Junko Hori, et al.. (2012). Local Anti-C5 Therapy Suppresses Experimental Choroidal Neovascularization Through Reduction Of Macrophage Infiltrate. Investigative Ophthalmology & Visual Science. 53(14). 1236–1236. 2 indexed citations
18.
Chen, Mei, David A. Copland, Jiawu Zhao, et al.. (2011). Persistent Inflammation Subverts Thrombospondin-1–Induced Regulation of Retinal Angiogenesis and Is Driven by CCR2 Ligation. American Journal Of Pathology. 180(1). 235–245. 50 indexed citations
19.
Raveney, Ben J. E., David A. Copland, Andrew D. Dick, & Lindsay B. Nicholson. (2009). TNFR1-Dependent Regulation of Myeloid Cell Function in Experimental Autoimmune Uveoretinitis. The Journal of Immunology. 183(4). 2321–2329. 45 indexed citations
20.
Raveney, Ben J. E., et al.. (2008). Analysis of retinal cellular infiltrate in experimental autoimmune uveoretinitis reveals multiple regulatory cell populations. Journal of Autoimmunity. 31(4). 354–361. 136 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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