Gary C. Brown

16.7k citations
323 papers · 10.6k indexed · h-index 58

Gary C. Brown

312 papers receiving 9.7k citations

Peers

Gary C. Brown
Comparison fields: 5 of 181
  • Ophthalmology 7.7k
  • Radiology, Nuclear Medicine and Imaging 4.6k
  • Neurology 1.2k
  • Epidemiology 1.8k
  • Economics and Econometrics 1.0k
Replace David C. Musch with:
David C. Musch United States
Frank Krummenauer Germany
R.-D Hilgers Germany
Ruth A. Kleinerman United States
Bin Nan United States
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Jürgen Braun Germany
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Citations per field
00.5×11.5×
David C. Musch · 1×
Citations per year

Countries citing papers authored by Gary C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Gary C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary C. Brown. 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 Gary C. Brown. The network helps show where Gary C. Brown may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gary C. Brown, 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 Gary C. Brown Line = papers co-authored together Gary C. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201923
2 201710
3 20159
4
The Relationship Between the A69S Variant With the Indel (372_815delins54) in the ARMS2 Gene, and Its Association With Age-Related Macular Degeneration
20091
5 200928
6 20083
7 200848
8 200714
9 20060
10 2005127
11
Incidence and Economic Impact of Intraocular Pressure Elevation and other Adverse Events following Vitreoretinal Surgery.
20041
12
Economic Resources Utilized in a Cohort of Patients with Age–Related Macular Degeneration
20041
13 2003109
14 200118
15 200029
16 199711
17 198643
18 198410
19
Melanoma of the Choroid in a Dog
19849
20 1984107

About Gary C. Brown

Gary C. Brown is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Economics and Econometrics, Neurology and Statistics, Probability and Uncertainty, having authored 323 papers that have together received 10.6k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (100 papers), Retinal and Optic Conditions (80 papers), Retinal Imaging and Analysis (63 papers), Health Systems, Economic Evaluations, Quality of Life (61 papers), Glaucoma and retinal disorders (56 papers), Retinal and Macular Surgery (52 papers), Intraocular Surgery and Lenses (52 papers) and Ophthalmology and Visual Impairment Studies (33 papers). The work is most often cited by research in Ophthalmology (7.7k citations), Radiology, Nuclear Medicine and Imaging (4.6k citations), Neurology (1.2k citations), Epidemiology (1.8k citations) and Economics and Econometrics (1.0k citations). Gary C. Brown has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Melissa M. Brown, Sanjay Sharma, Larry E. Magargal, Jerry A. Shields, William Tasman, William E. Benson, Jay S. Duker, Brandon Busbee, James J. Augsburger and Richard E. Goldberg. Their work appears in journals such as Ophthalmology, American Journal of Ophthalmology, Current Opinion in Ophthalmology, Retina and Ophthalmic surgery, lasers & imaging retina.

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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