Deborah Broadbent
Impact in
- Ophthalmology top 1%
- Retinal Diseases and Treatments
- Ophthalmology and Visual Health Research
- Glaucoma and retinal disorders
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- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
Papers in
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- Retinal Diseases and Treatments 11
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- Retinal Imaging and Analysis 6
- Co-authors
- Simon Peter Harding (28 shared papers)Jiten P Vora (14 shared papers)Yalin Zheng (2 shared papers)Frans Coenen (5 shared papers)Harry Pratt (3 shared papers)Naveed Younis (1 shared paper)Chris Neoh (1 shared paper)Claudio Campa (1 shared paper)
- Journals
- Diabetic Medicine (8 papers)Investigative Ophthalmology & Visual Science (3 papers)Diabetologia (2 papers)Eye (2 papers)The Lancet (1 paper)
- Partner nations
- United KingdomCzechiaGermany
In The Last Decade
Deborah Broadbent
36 papers receiving 1.7k citations
Deborah Broadbent's Hit Papers
Peers
Comparison fields: 5 of 48
- Ophthalmology 513
- Radiology, Nuclear Medicine and Imaging 792
- Health Information Management 20
- Endocrinology, Diabetes and Metabolism 34
- Health Informatics 3
Countries citing papers authored by Deborah Broadbent
This map shows the geographic impact of Deborah Broadbent'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 Deborah Broadbent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Broadbent more than expected).
Fields of papers citing papers by Deborah Broadbent
This network shows the impact of papers produced by Deborah Broadbent. 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 Deborah Broadbent. The network helps show where Deborah Broadbent may publish in the future.
Co-authors
The 25 scholars most cited alongside Deborah Broadbent, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Convolutional Neural Networks for Diabetic Retinopathy Hit paper breakdown → | 2016 | 723 |
| 2 | 1995 | 246 | |
| 3 | 2003 | 235 | |
| 4 | 2003 | 81 | |
| 5 | 2010 | 75 | |
| 6 | 1999 | 67 | |
| 7 | 2002 | 60 | |
| 8 | 2013 | 56 | |
| 9 | 2014 | 51 | |
| 10 | 2017 | 34 | |
| 11 | 2020 | 30 | |
| 12 | 2008 | 24 | |
| 13 | 2002 | 21 | |
| 14 | 2018 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 1998 | 17 | |
| 17 | 2003 | 13 | |
| 18 | 2010 | 12 | |
| 19 | 2015 | 10 | |
| 20 | 2004 | 8 |
About Deborah Broadbent
Deborah Broadbent is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Health Information Management, Endocrinology, Diabetes and Metabolism and Information Systems, having authored 36 papers that have together received 1.9k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (11 papers), Retinal Imaging and Analysis (6 papers), Electronic Health Records Systems (1 paper), Ethics in Clinical Research (1 paper), Data Mining Algorithms and Applications (1 paper), Diabetes Management and Education (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Ophthalmology (513 citations), Radiology, Nuclear Medicine and Imaging (792 citations), Health Information Management (20 citations), Endocrinology, Diabetes and Metabolism (34 citations) and Health Informatics (3 citations). Deborah Broadbent has collaborated with scholars based in United Kingdom, Czechia and Germany. Frequent co-authors include Simon Peter Harding, Jiten P Vora, Yalin Zheng, Frans Coenen, Harry Pratt, Naveed Younis, Chris Neoh, Claudio Campa, Alexandros N. Stangos and Christopher Paul Cheyne. Their work appears in journals such as Diabetic Medicine, Investigative Ophthalmology & Visual Science, Diabetologia, Eye and The Lancet.
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.