Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Adverse Effects of Topical Antiglaucoma Medication
1994416 citationsDavid C. BroadwayArchives of Ophthalmologyprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by David C. Broadway
Since
Specialization
Citations
This map shows the geographic impact of David C. Broadway'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 C. Broadway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Broadway more than expected).
Fields of papers citing papers by David C. Broadway
This network shows the impact of papers produced by David C. Broadway. 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 C. Broadway. The network helps show where David C. Broadway may publish in the future.
Co-authorship network of co-authors of David C. Broadway
This figure shows the co-authorship network connecting the top 25 collaborators of David C. Broadway.
A scholar is included among the top collaborators of David C. Broadway 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 C. Broadway. David C. Broadway is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sanderson, Julie, et al.. (2021). Interpretable staged transfer learning improves OCT classification and clinical explanation of retinal diseases from small sample sizes. Investigative Ophthalmology & Visual Science. 62(8). 2119–2119.2 indexed citations
Broadway, David C., et al.. (2016). High Glucose Increases Vascular Endothelial Growth Factor (VEGF) Secretion in Human Müller Cells (MIO-M1) and Human Organotypic Retinal Cultures (HORCs). Investigative Ophthalmology & Visual Science. 57(12). 5049–5049.1 indexed citations
5.
Broadway, David C.. (2016). How to test for a relative afferent pupillary defect (RAPD). SHILAP Revista de lepidopterología.15 indexed citations
Cate, Heidi, Debi Bhattacharya, Allan Clark, et al.. (2013). Non-adherence in glaucoma and its association with satisfaction of glaucoma and medication information. Investigative Ophthalmology & Visual Science. 54(15). 2623–2623.
Kirwan, James, Alastair Lockwood, Peter Shah, et al.. (2013). Trabeculectomy in the 21st Century. Ophthalmology. 120(12). 2532–2539.211 indexed citations
11.
Broadway, David C.. (2012). Visual field testing for glaucoma â a practical guide. SHILAP Revista de lepidopterología.30 indexed citations
12.
Foster, Paul J., David C. Broadway, Jennifer Yip, et al.. (2010). Serum Lipids and Glycated Haemoglobin Are Associated With Intraocular Pressure in European People - Epic-Eyes Study. Investigative Ophthalmology & Visual Science. 51(13). 5829–5829.
13.
Gunvant, Pinakin, et al.. (2008). Relationships between central corneal thickness and optic disc topography in eyes with glaucoma, suspicion of glaucoma, or ocular hypertension. SHILAP Revista de lepidopterología.1 indexed citations
Gunvant, Pinakin, et al.. (2002). The Influence of Central Corneal Thickness & Corneal Curvature on Intraocular Pressure Measurement with the Goldmann Tonometer & the POBF Pneumotonometer. Investigative Ophthalmology & Visual Science. 43(13). 3413–3413.1 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.