Jay C. Bradley

796 citations
22 papers · 538 · h-index 13

Impact in

Papers in

Jay C. Bradley

22 papers receiving 517 citations

Peers

Jay C. Bradley
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 278
  • Ophthalmology 87
  • Public Health, Environmental and Occupational Health 131
  • Parasitology 12
  • Microbiology 1
Replace Laurence Sullivan with:
Laurence Sullivan Australia
Chikako Mochida Japan
Adriano Fasolo Italy
Usama Fares United Kingdom
Üzeyir Erdem Türkiye
Kelan Yuan China
Joachim Stave Germany
Judy F. Gordon United States
Andrew Camp United States
Kazuomi Hanada Japan
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Jay C. Bradley

Since Specialization
Citations

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

Fields of papers citing papers by Jay C. Bradley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Jay C. Bradley, 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 C. Bradley Line = papers co-authored together Jay C. Bradley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009150
2 200852
3 200947
4 199746
5 201037
6 201030
7 200722
8 200720
9 201019
10 201018
11 200516
12 200514
13 200613
14 200512
15 20099
16 20117
17 20117
18 20056
19 20065
20 20104

About Jay C. Bradley

Jay C. Bradley is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Infectious Diseases, Surgery and Otorhinolaryngology, having authored 22 papers that have together received 538 indexed citations. Recurring topics across this work include Corneal surgery and disorders (6 papers), Corneal Surgery and Treatments (2 papers), Ocular Diseases and Behçet’s Syndrome (2 papers), Ocular Infections and Treatments (2 papers), Ophthalmology and Visual Impairment Studies (1 paper), Sinusitis and nasal conditions (1 paper), Polymer Surface Interaction Studies (1 paper) and Bartonella species infections research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (278 citations), Ophthalmology (87 citations), Public Health, Environmental and Occupational Health (131 citations), Parasitology (12 citations) and Microbiology (1 citation). Jay C. Bradley has collaborated with scholars based in United States, Saudi Arabia and Laos. Frequent co-authors include Mark J. Mannis, David L. McCartney, Ivan R. Schwab, Sandra M. Brown, Yuehuei H. An, Dennis L. Powers, Richard J. Friedman, Ke Xu, Tamara A. Greasby and Robert C. Kimbrough. Their work appears in journals such as Cornea, Journal of Cataract & Refractive Surgery, Journal of Refractive Surgery, Clinical and Experimental Ophthalmology and Graefe s Archive for Clinical and Experimental 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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