Jay Self

4.2k citations
96 papers · 2.6k · 2 hit papers · h-index 27

Impact in

Papers in

    • Glaucoma and retinal disorders 15
    • Retinal Diseases and Treatments 7
    • Vestibular and auditory disorders 11

Jay Self

90 papers receiving 2.6k citations

Jay Self's Hit Papers

A foundation model for generalizable disease detection from retinal images 2023 · 552 citations
5520+1+3Years since publication100200300400500

Peers

Jay Self
Comparison fields: 5 of 144
  • Ophthalmology 764
  • Health Informatics 55
  • Radiology, Nuclear Medicine and Imaging 597
  • Neurology 177
  • Rehabilitation 119
Replace Robert A. Bermel with:
Robert A. Bermel United States
Tariq Mehmood Aslam United Kingdom
Thomas L. Theelen Netherlands
Elena García‐Martín Spain
Shiv Saidha United States
Teresa C. Frohman United States
Luis Emilio Pablo Spain
Hanna Gwendolyn Zimmermann Germany
Scott Kolbe Australia
Bal Dhillon United Kingdom
Jay Self relative to Robert A. Bermel United States Robert A. Bermel's profile →
Citations per field
00.5×2×4×6.1×
Robert A. Bermel · 1×
Citations per year

Countries citing papers authored by Jay Self

Since Specialization
Citations

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

Fields of papers citing papers by Jay Self

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A foundation model for generalizable disease detection from retinal images
Hit paper breakdown →
2023552
2
Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries
Hit paper breakdown →
2021269
3 1995124
4 201774
5 201973
6 201670
7 200567
8 202367
9 202164
10 202354
11 202152
12 201750
13 201948
14 202044
15 202043
16 200741
17 201938
18 201938
19 202137
20 198833

About Jay Self

Jay Self is a scholar working on Ophthalmology, Neurology, Epidemiology, Cell Biology and Molecular Biology, having authored 96 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (15 papers), Ophthalmology and Visual Impairment Studies (13 papers), Retinal Development and Disorders (13 papers), Vestibular and auditory disorders (11 papers), melanin and skin pigmentation (8 papers), Connexins and lens biology (7 papers), Retinal Diseases and Treatments (7 papers) and Retinal Imaging and Analysis (5 papers). The work is most often cited by research in Ophthalmology (764 citations), Health Informatics (55 citations), Radiology, Nuclear Medicine and Imaging (597 citations), Neurology (177 citations) and Rehabilitation (119 citations). Jay Self has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Andrew John Lotery, Steven F. Viegas, William L. Buford, Rita M. Patterson, Helena Lee, P R Hodgkins, Helen Griffiths, Cathy Williams, Diana Baralle and Sarah A. Ennis. Their work appears in journals such as Eye, Scientific Reports, JAMA Ophthalmology, Communications Biology and 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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