Nihaal Mehta
- Ophthalmology top 2%
- Retinal Diseases and Treatments 18
- Glaucoma and retinal disorders 6
- Retinal and Optic Conditions 3
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- Retinal Imaging and Analysis 17
- Retinal and Macular Surgery 3
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- Optical Coherence Tomography Applications 5
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- Ophthalmology and Visual Impairment Studies 2
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- Skin and Cellular Biology Research 1
- Co-authors
- Nadia K. WaheedJay S. DukerA. Yasin AlibhaiPhillip X. BraunOsama SorourAkihiro IshibazawaCaroline R. BaumalKeke Liu
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)American Journal of Ophthalmology (1 paper)
- Partner nations
- United StatesEgyptJapan
In The Last Decade
Nihaal Mehta
27 papers receiving 398 citations
Peers
Comparison fields: 5 of 59
- Ophthalmology 287
- Radiology, Nuclear Medicine and Imaging 264
- Health Informatics 6
- Biomedical Engineering 101
- Biophysics 9
Countries citing papers authored by Nihaal Mehta
This map shows the geographic impact of Nihaal Mehta'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 Nihaal Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nihaal Mehta more than expected).
Fields of papers citing papers by Nihaal Mehta
This network shows the impact of papers produced by Nihaal Mehta. 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 Nihaal Mehta. The network helps show where Nihaal Mehta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nihaal Mehta, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 21 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 15 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 23 | |
| 15 | 2020 | 6 | |
| 16 | Segmentation of the Choriocapillaris Using Machine Learning on OCTA | 2019 | 1 |
| 17 | 2019 | 82 | |
| 18 | 2019 | 25 | |
| 19 | 2018 | 26 | |
| 20 | 2009 | 24 |
About Nihaal Mehta
Nihaal Mehta is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Family Practice, having authored 30 papers that have together received 401 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (18 papers), Retinal Imaging and Analysis (17 papers), Glaucoma and retinal disorders (6 papers), Optical Coherence Tomography Applications (5 papers), Retinal and Macular Surgery (3 papers), Retinal and Optic Conditions (3 papers), Ophthalmology and Visual Impairment Studies (2 papers) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Ophthalmology (287 citations), Radiology, Nuclear Medicine and Imaging (264 citations) and Health Informatics (6 citations). Nihaal Mehta has collaborated with scholars based in United States, Egypt and Japan. Frequent co-authors include Nadia K. Waheed, Jay S. Duker, A. Yasin Alibhai, Phillip X. Braun, Osama Sorour, Akihiro Ishibazawa, Caroline R. Baumal, Keke Liu, André J. Witkin and Eric M. Moult. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal of 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.