Diana Do
- Ophthalmology top 5%
- Radiology, Nuclear Medicine and Imaging
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Health Informatics top 5%
- Co-authors
- Quan Dong NguyenDebra A. GoldsteinGlenn NoronhaSunil K. SrivastavaJennifer KissnerArthur BrantAnn FisherSuzann Pershing
- Topics
- Retinal and Optic Conditions (8 papers)Retinal Diseases and Treatments (8 papers)Ocular Diseases and Behçet’s Syndrome (5 papers)
- Partner nations
- United StatesJapanSingapore
In The Last Decade
Diana Do
15 papers receiving 229 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Ophthalmology 152
- Radiology, Nuclear Medicine and Imaging 93
- Molecular Biology 72
- Public Health, Environmental and Occupational Health 27
- Health Informatics 25
Countries citing papers authored by Diana Do
This map shows the geographic impact of Diana Do'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 Diana Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Do more than expected).
Fields of papers citing papers by Diana Do
This network shows the impact of papers produced by Diana Do. 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 Diana Do. The network helps show where Diana Do may publish in the future.
Co-authorship network of co-authors of Diana Do
This figure shows the co-authorship network connecting the top 25 collaborators of Diana Do. A scholar is included among the top collaborators of Diana Do based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diana Do. Diana Do is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Dr. Google vs. Dr. ChatGPT: Exploring the Use of Artificial Intelligence in Ophthalmology by Comparing the Accuracy, Safety, and Readability of Responses to Frequently Asked Patient Questions Regarding Cataracts and Cataract Surgerybreakdown → | 36 |
| 4 | 19 | |
| 5 | 44 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 69 | |
| 11 | 37 | |
| 12 | Segmentation and Analysis of Retinal Layers in Eyes with Uveitis and Comparison with Normal | 1 |
| 13 | To determine changes in levels of cytokines in the anterior chamber (AC) fluid of eyes in patients with diabetic macular edema (DME)whom have been treated with repeated injections of ranibizumab (RBZ) | 1 |
| 14 | One-year Results Of The Da Vinci Study Of VEGF Trap-Eye In DME | 1 |
| 15 | 1 | |
| 16 | 2 |
About Diana Do
Diana Do is a scholar working on Ophthalmology, Internal Medicine and Hematology, having authored 16 papers that have together received 237 indexed citations. Recurring topics across this work include Retinal and Optic Conditions (8 papers), Retinal Diseases and Treatments (8 papers) and Ocular Diseases and Behçet’s Syndrome (5 papers). The work is most often cited by research in Health Informatics (25 citations), Ophthalmology (152 citations) and Radiology, Nuclear Medicine and Imaging (93 citations). Diana Do has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include Quan Dong Nguyen, Debra A. Goldstein, Glenn Noronha, Sunil K. Srivastava, Jennifer Kissner, Arthur Brant, Ann Fisher, Suzann Pershing, Samuel Cohen and Carolyn K. Pan. Their work appears in journals such as Scientific Reports, Ophthalmology 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.