Daniel Agarwal
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Intraocular Surgery and Lenses
Papers in
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- Glaucoma and retinal disorders 3
- Retinal Diseases and Treatments 3
- Intraocular Surgery and Lenses 2
- Ocular Diseases and Behçet’s Syndrome 1
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- Retinal and Macular Surgery 3
- Retinal Imaging and Analysis 2
- Co-authors
- Rachel Gelman (4 shared papers)William Stevenson (4 shared papers)John Christoforidis (4 shared papers)Joshua R. Ehrlich (1 shared paper)Mitsugu Shimmyo (1 shared paper)Nathan M. Radcliffe (1 shared paper)David Q. Matus (1 shared paper)Stephen J. Weiss (1 shared paper)
- Journals
- Clinical ophthalmology (2 papers)Cornea (1 paper)Ophthalmic surgery, lasers & imaging retina (1 paper)British Journal of Ophthalmology (1 paper)Science Signaling (1 paper)
- Partner nations
- United StatesEgypt
In The Last Decade
Daniel Agarwal
9 papers receiving 300 citations
Peers
Comparison fields: 5 of 40
- Aging 37
- Ophthalmology 108
- Radiology, Nuclear Medicine and Imaging 181
- Endocrine and Autonomic Systems 11
- Immunology and Allergy 8
Countries citing papers authored by Daniel Agarwal
This map shows the geographic impact of Daniel Agarwal'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 Daniel Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Agarwal more than expected).
Fields of papers citing papers by Daniel Agarwal
This network shows the impact of papers produced by Daniel Agarwal. 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 Daniel Agarwal. The network helps show where Daniel Agarwal may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 93 | |
| 2 | 2010 | 62 | |
| 3 | 2011 | 56 | |
| 4 | 2015 | 40 | |
| 5 | 2015 | 25 | |
| 6 | 2013 | 12 | |
| 7 | 2016 | 11 | |
| 8 | 2019 | 7 | |
| 9 | 2021 | 5 | |
| 10 | 2026 | 0 | |
| 11 | Non-invasive techniques for the screening of diabetic retinopathy. | 2017 | 0 |
About Daniel Agarwal
Daniel Agarwal is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Neurology and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 311 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (3 papers), Retinal Diseases and Treatments (3 papers), Retinal and Macular Surgery (3 papers), Retinal Imaging and Analysis (2 papers), Intraocular Surgery and Lenses (2 papers), Ocular Diseases and Behçet’s Syndrome (1 paper), Healthcare Operations and Scheduling Optimization (1 paper) and Vascular Malformations Diagnosis and Treatment (1 paper). The work is most often cited by research in Aging (37 citations), Ophthalmology (108 citations), Radiology, Nuclear Medicine and Imaging (181 citations), Endocrine and Autonomic Systems (11 citations) and Immunology and Allergy (8 citations). Daniel Agarwal has collaborated with scholars based in United States and Egypt. Frequent co-authors include Rachel Gelman, William Stevenson, John Christoforidis, Joshua R. Ehrlich, Mitsugu Shimmyo, Nathan M. Radcliffe, David Q. Matus, Stephen J. Weiss, David R. Sherwood and Xiaoyan Li. Their work appears in journals such as Clinical ophthalmology, Cornea, Ophthalmic surgery, lasers & imaging retina, British Journal of Ophthalmology and Science Signaling.
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.