Ning Cheung

16.5k citations
108 papers · 11.2k indexed · 4 hit papers · h-index 48

Ning Cheung

107 papers receiving 10.9k citations

Hit Papers

Global Prevalence of Dia...1.2k200920262014202050010001.5k2.0k

Peers

Ning Cheung
Comparison fields: 5 of 146
  • Ophthalmology 8.5k
  • Radiology, Nuclear Medicine and Imaging 7.1k
  • Clinical Biochemistry 393
  • Cardiology and Cardiovascular Medicine 1.1k
  • Neurology 381
Replace Gerald Liew with:
Gerald Liew Australia
Eva M. Kohner United Kingdom
Johannes R. Vingerling Netherlands
Paulus T.V.M. de Jong Netherlands
Jerry D. Cavallerano United States
Henrik Lund‐Andersen Denmark
Massimo Porta Italy
Donald S. Fong United States
Juan E. Grunwald United States
Kristine E. Lee United States
Ning Cheung relative to Gerald Liew Australia Gerald Liew's profile →
Citations per field
00.5×5.6×
Gerald Liew · 1×
Citations per year

Countries citing papers authored by Ning Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Ning Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ning Cheung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ning Cheung Line = papers co-authored together Ning Cheung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045breakdown →
20211211
2 20212
3 20208
4 20202
5 20197
6 201714
7 2016240
8 201439
9 201262
10 201047
11 201037
12 201096
13 2009263
14 200947
15 200893
16 200813
17 2007201
18 2007125
19 200772
20 200664

About Ning Cheung

Ning Cheung is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Nephrology, Cardiology and Cardiovascular Medicine and Obstetrics and Gynecology, having authored 108 papers that have together received 11.2k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (79 papers), Retinal Diseases and Treatments (72 papers), Retinal and Optic Conditions (36 papers), Glaucoma and retinal disorders (33 papers), Retinal and Macular Surgery (13 papers), Intraocular Surgery and Lenses (7 papers), Blood Pressure and Hypertension Studies (6 papers) and Cardiovascular Health and Disease Prevention (5 papers). The work is most often cited by research in Ophthalmology (8.5k citations), Radiology, Nuclear Medicine and Imaging (7.1k citations), Clinical Biochemistry (393 citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Neurology (381 citations). Ning Cheung has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Tien Yin Wong, Paul Mitchell, Jie Jin Wang, Sophie Rogers, Paul Mitchell, Lyndell L. Lim, Ronald Klein, Rachel McIntosh, Jonathan W. Kowalski and Hiep Nguyen. Their work appears in journals such as Ophthalmology, Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology, Diabetes Care and American Journal of Ophthalmology.

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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