Carol A. Applegate

2.2k citations
21 papers · 1.7k · h-index 15

Impact in

Papers in

Carol A. Applegate

18 papers receiving 1.6k citations

Peers

Carol A. Applegate
Comparison fields: 5 of 60
  • Ophthalmology 1.5k
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Epidemiology 307
  • Molecular Biology 472
  • Cognitive Neuroscience 131
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C. Bellmann Germany
Mary Ann Croft United States
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Countries citing papers authored by Carol A. Applegate

Since Specialization
Citations

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

Fields of papers citing papers by Carol A. Applegate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol A. Applegate. 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 Carol A. Applegate. The network helps show where Carol A. Applegate may publish in the future.

Co-authors

The 24 scholars most cited alongside Carol A. Applegate, 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 Carol A. Applegate Line = papers co-authored together Carol A. Applegate links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999264
2 1996253
3 1997227
4 2007193
5 2008152
6
Measuring geographic atrophy in advanced age-related macular degeneration.
1999118
7 1999105
8 200878
9 200569
10 200642
11 200039
12 201433
13 200729
14 202017
15 200616
16 201612
17 20214
18
Decline of Reading Rate Over Time in Geographic Atrophy from AMD
20031
19
Validation of Face Fields for Determining Fixation Location in Eyes With Central Scotomas From Macular Disease
20071
20 20250

About Carol A. Applegate

Carol A. Applegate is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology and Cognitive Neuroscience, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (16 papers), Glaucoma and retinal disorders (13 papers), Retinal Imaging and Analysis (11 papers), Retinal Development and Disorders (6 papers), Ophthalmology and Visual Impairment Studies (5 papers), Ocular Diseases and Behçet’s Syndrome (3 papers), Visual perception and processing mechanisms (2 papers) and Corneal surgery and disorders (1 paper). The work is most often cited by research in Ophthalmology (1.5k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Epidemiology (307 citations), Molecular Biology (472 citations) and Cognitive Neuroscience (131 citations). Carol A. Applegate has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Janet S. Sunness, Neil M. Bressler, Gary S. Rubin, Barbara S. Hawkins, Yan Tian, Yolanda Barrón, Marta J. Marsh, Aimee Teo Broman, Eyal Margalit and Divya Srikumaran. Their work appears in journals such as Ophthalmology, Retina, Investigative Ophthalmology & Visual Science, Ophthalmology Glaucoma 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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