John H. Chang

2.6k total citations
28 papers, 1.4k citations indexed

About

John H. Chang is a scholar working on Ophthalmology, Immunology and Molecular Biology. According to data from OpenAlex, John H. Chang has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ophthalmology, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in John H. Chang's work include Ocular Diseases and Behçet’s Syndrome (12 papers), Retinal Diseases and Treatments (9 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers). John H. Chang is often cited by papers focused on Ocular Diseases and Behçet’s Syndrome (12 papers), Retinal Diseases and Treatments (9 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers). John H. Chang collaborates with scholars based in Australia, United Kingdom and Singapore. John H. Chang's co-authors include Denis Wakefield, Peter McCluskey, Jamie E. Craig, Mark Daniell, Alicia J. Jenkins, Georgia Kaidonis, Nikolai Petrovsky, Bishwanath Pal, Andrew R. Lloyd and Sotoodeh Abhary and has published in prestigious journals such as Scientific Reports, Ophthalmology and Investigative Ophthalmology & Visual Science.

In The Last Decade

John H. Chang

27 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John H. Chang Australia 17 1.0k 411 311 199 140 28 1.4k
Stephan Thurau Germany 22 902 0.9× 415 1.0× 552 1.8× 166 0.8× 315 2.3× 75 1.6k
Yujiro Fujino Japan 20 765 0.8× 294 0.7× 171 0.5× 126 0.6× 142 1.0× 68 1.1k
Alejandro Rodríguez-García Mexico 20 1.1k 1.1× 329 0.8× 178 0.6× 73 0.4× 325 2.3× 112 1.7k
Toshikatsu Kaburaki Japan 24 1.3k 1.3× 289 0.7× 100 0.3× 189 0.9× 259 1.9× 109 1.7k
Jiro Numaga Japan 22 895 0.9× 227 0.6× 96 0.3× 150 0.8× 206 1.5× 64 1.2k
Maria Diedrichs‐Möhring Germany 19 445 0.4× 242 0.6× 327 1.1× 147 0.7× 135 1.0× 34 824
G. S. Baarsma Netherlands 27 1.8k 1.7× 296 0.7× 177 0.6× 200 1.0× 669 4.8× 80 2.4k
Tammy M. Martin United States 28 529 0.5× 643 1.6× 598 1.9× 533 2.7× 299 2.1× 68 1.9k
Mami Ishihara Japan 19 257 0.3× 221 0.5× 305 1.0× 184 0.9× 123 0.9× 62 974
Kamal K. Mittal United States 17 324 0.3× 338 0.8× 494 1.6× 119 0.6× 153 1.1× 45 1.2k

Countries citing papers authored by John H. Chang

Since Specialization
Citations

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

Fields of papers citing papers by John H. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Chang. 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 John H. Chang. The network helps show where John H. Chang may publish in the future.

Co-authorship network of co-authors of John H. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Chang. A scholar is included among the top collaborators of John H. Chang 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 John H. Chang. John H. Chang 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.
2.
Kaidonis, Georgia, Mark C. Gillies, Sotoodeh Abhary, et al.. (2019). Mitochondrial haplogroups are not associated with diabetic retinopathy in a large Australian and British Caucasian sample. Scientific Reports. 9(1). 612–612. 5 indexed citations
3.
Symes, Richard J., John H. Chang, Li‐Anne Lim, et al.. (2019). UVEITIS CAUSED BY TREATMENT FOR MALIGNANT MELANOMA: A CASE SERIES. Retinal Cases & Brief Reports. 15(6). 718–723. 7 indexed citations
4.
Kaidonis, Georgia, Sotoodeh Abhary, Mark Gillies, et al.. (2018). Genome-wide association studies for diabetic macular edema and proliferative diabetic retinopathy. BMC Medical Genetics. 19(1). 71–71. 43 indexed citations
5.
Kaidonis, Georgia, Mark Gillies, Sotoodeh Abhary, et al.. (2016). A single-nucleotide polymorphism in the MicroRNA-146a gene is associated with diabetic nephropathy and sight-threatening diabetic retinopathy in Caucasian patients. Acta Diabetologica. 53(4). 643–650. 51 indexed citations
6.
Chang, John H., Richard Mills, John Pater, & John L. Crompton. (2012). Case series of cat‐scratch‐inflicted full‐thickness corneal lacerations and a review of the literature. Clinical and Experimental Ophthalmology. 40(7). 669–674. 9 indexed citations
7.
Chang, John H., Peter McCluskey, & Denis Wakefield. (2012). Recent advances in Toll‐like receptors and anterior uveitis. Clinical and Experimental Ophthalmology. 40(8). 821–828. 20 indexed citations
8.
Karampelas, Michael, et al.. (2012). Patient mit membranoproliferativer Glomerulonephritis Typ II. Der Ophthalmologe. 109(8). 791–793. 3 indexed citations
9.
Chang, John H., John Landers, Tim Henderson, & Jamie E. Craig. (2011). Prevalence of uveitis in indigenous populations presenting to remote clinics of central Australia: The Central Australian Ocular Health Study. Clinical and Experimental Ophthalmology. 40(5). 448–453. 16 indexed citations
10.
Wakefield, Denis, et al.. (2011). What Is New HLA-B27 Acute Anterior Uveitis?. Ocular Immunology and Inflammation. 19(2). 139–144. 55 indexed citations
11.
Chui, Jeanie, et al.. (2010). Iris Pigment Epithelial Cells Express a Functional Lipopolysaccharide Receptor Complex. Investigative Ophthalmology & Visual Science. 51(5). 2558–2558. 19 indexed citations
12.
Chang, John H., et al.. (2009). Incidence and pattern of acute anterior uveitis in Central Australia. British Journal of Ophthalmology. 94(2). 154–156. 7 indexed citations
13.
Badenoch, Paul R., Richard Mills, John H. Chang, et al.. (2009). Pythium insidiosum keratitis in an Australian child. Clinical and Experimental Ophthalmology. 37(8). 806–809. 33 indexed citations
14.
Chang, John H., et al.. (2006). Secondary Tarsoconjunctival Flap After Previous Lower Eyelid Hughes Repair. Ophthalmic Plastic and Reconstructive Surgery. 22(2). 105–108. 2 indexed citations
15.
Wakefield, Denis & John H. Chang. (2005). Epidemiology of Uveitis. International Ophthalmology Clinics. 45(2). 1–13. 205 indexed citations
16.
Chang, John H., Peter McCluskey, & Denis Wakefield. (2005). Acute Anterior Uveitis and HLA-B27. Survey of Ophthalmology. 50(4). 364–388. 249 indexed citations
17.
Chang, John H.. (2005). Toll-like receptors in ocular immunity and the immunopathogenesis of inflammatory eye disease. British Journal of Ophthalmology. 90(1). 103–108. 147 indexed citations
18.
Chang, John H. & Peter McCluskey. (2005). Ocular cicatricial pemphigoid: Manifestations and management. Current Allergy and Asthma Reports. 5(4). 333–338. 20 indexed citations
19.
Chang, John H., Peter McCluskey, & Denis Wakefield. (2004). Expression of Toll-like Receptor 4 and Its Associated Lipopolysaccharide Receptor Complex by Resident Antigen-Presenting Cells in the Human Uvea. Investigative Ophthalmology & Visual Science. 45(6). 1871–1871. 75 indexed citations
20.
Chang, John H. & Denis Wakefield. (2002). Uveitis: a global perspective. Ocular Immunology and Inflammation. 10(4). 263–279. 269 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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