Everett Ai

2.0k citations
35 papers · 885 indexed · h-index 19

Impact in

    • Retinal Diseases and Treatments
    • Ocular Diseases and Behçet’s Syndrome
    • Retinal and Optic Conditions
    • Glaucoma and retinal disorders
    • Intraocular Surgery and Lenses

Papers in

    • Retinal Diseases and Treatments 10
    • Ocular Diseases and Behçet’s Syndrome 9
    • Retinal and Optic Conditions 9
    • Intraocular Surgery and Lenses 8
    • Glaucoma and retinal disorders 4
    • Retinal and Macular Surgery 7
    • Retinal Imaging and Analysis 4

Everett Ai

35 papers receiving 829 citations

Peers

Everett Ai
Comparison fields: 5 of 71
  • Ophthalmology 623
  • Parasitology 116
  • Radiology, Nuclear Medicine and Imaging 280
  • Epidemiology 198
  • Neurology 83
Replace J. Michael Jumper with:
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Everett Ai relative to J. Michael Jumper United States J. Michael Jumper's profile →
Citations per field
00.5×1.5×2.5×
J. Michael Jumper · 1×
Citations per year

Countries citing papers authored by Everett Ai

Since Specialization
Citations

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

Fields of papers citing papers by Everett Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199371
2 199866
3 199565
4 200762
5 200761
6 199156
7 200340
8 200637
9 200136
10 200035
11 200732
12 200229
13 199726
14 198125
15 200124
16 198723
17 199322
18 199421
19 200019
20 200218

About Everett Ai

Everett Ai is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Pediatrics, Perinatology and Child Health and Neurology, having authored 35 papers that have together received 885 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (10 papers), Ocular Diseases and Behçet’s Syndrome (9 papers), Retinal and Optic Conditions (9 papers), Intraocular Surgery and Lenses (8 papers), Retinal and Macular Surgery (7 papers), Cytomegalovirus and herpesvirus research (5 papers), Glaucoma and retinal disorders (4 papers) and Retinal Imaging and Analysis (4 papers). The work is most often cited by research in Ophthalmology (623 citations), Parasitology (116 citations), Radiology, Nuclear Medicine and Imaging (280 citations), Epidemiology (198 citations) and Neurology (83 citations). Everett Ai has collaborated with scholars based in United States and China. Frequent co-authors include Robert N. Johnson, H. Richard McDonald, J. Michael Jumper, Mitchell J. Goff, Alan Luckie, William R. Freeman, Arthur D. Fu, Barrett Katz, Walter M. Boyce and Kevin R. Kazacos. Their work appears in journals such as Retina, American Journal of Ophthalmology, Ophthalmology, The Diabetes Educator and Current Opinion in 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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