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.
The epidemiology of dry eye in Melbourne, Australia, Historical image
Countries citing papers authored by Catherine A. McCarty
Since
Specialization
Citations
This map shows the geographic impact of Catherine A. McCarty'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 Catherine A. McCarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine A. McCarty more than expected).
Fields of papers citing papers by Catherine A. McCarty
This network shows the impact of papers produced by Catherine A. McCarty. 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 Catherine A. McCarty. The network helps show where Catherine A. McCarty may publish in the future.
Co-authorship network of co-authors of Catherine A. McCarty
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine A. McCarty.
A scholar is included among the top collaborators of Catherine A. McCarty 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 Catherine A. McCarty. Catherine A. McCarty is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Natarajan, Sundaram, et al.. (2015). AJDRUMSS: Diabetic Retinopathy - PDR and NPDR Prevalence amongst Known Diabetics and Knewly Detected Diabetics in the Urban Slums of Mumbai.. Investigative Ophthalmology & Visual Science. 56(7). 1449–1449.1 indexed citations
9.
Goddard, Katrina A.B., Erin J. Aiello Bowles, Heather Spencer Feigelson, et al.. (2012). Utilization of HER2 genetic testing in a multi-institutional observational study.. PubMed. 18(11). 704–12.12 indexed citations
Robman, Liubov D., Paul N. Baird, Andrea J. Richardson, et al.. (2007). Alleles of the Y402H Variant of the Complement Factor H (CFH) Gene and Progression of Age Related Macular Degeneration (AMD). Investigative Ophthalmology & Visual Science. 48(13). 3235–3235.1 indexed citations
14.
McCarty, Catherine A., et al.. (2006). Risk Factors for Cataract: A Case Study at National University of Malaysia Hospital. 4(1).
15.
McCarty, Catherine A., P.-H. Chyou, Robert T. Greenlee, et al.. (2003). Differences in preventive screening rates in Wisconsin farm and non-farm resident women.. PubMed. 102(5). 22–6.3 indexed citations
16.
McCarty, Catherine A., et al.. (2001). VECAT study: The effect of vitamin E on the progression of lens opacities (preliminary results).. Investigative Ophthalmology & Visual Science. 42(4).3 indexed citations
17.
Wang, Julian, et al.. (2000). The prevalence of age-related maculopathy: The visual impairment project. Investigative Ophthalmology & Visual Science. 41(4).180 indexed citations
18.
Lee, SJ, et al.. (1998). Recruitment for community based screening for diabetic retinopathy. Investigative Ophthalmology & Visual Science.1 indexed citations
19.
McCarty, Catherine A., et al.. (1996). Ocular exposure to UV-B in sunlight: the Melbourne visual impairment project model.. PubMed. 74(4). 353–60.53 indexed citations
20.
Taylor, Hugh R. & Catherine A. McCarty. (1996). Ozone depletion: the ocular effects of UV-B exposure. Minerva Access (University of Melbourne). 20(3). 223–225.2 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.