Maya M. Rao
Impact in
- Ophthalmology top 2%
- Ocular Diseases and Behçet’s Syndrome
- Ocular Infections and Treatments
- Retinal and Optic Conditions
- Endocrinology top 10%
- Legionella and Acanthamoeba research
Papers in
-
- Ocular Diseases and Behçet’s Syndrome 3
- Ocular Infections and Treatments 2
-
- Vasculitis and related conditions 2
- Co-authors
- Robin L. Chalmers (2 shared papers)Heidi Wagner (2 shared papers)Jonathan S. Yoder (2 shared papers)Sarah A. Collier (2 shared papers)G. Lynn Mitchell (2 shared papers)Kathryn Richdale (2 shared papers)Beth T. Kinoshita (2 shared papers)Luigina Sorbara (2 shared papers)
- Journals
- American Journal of Ophthalmology (2 papers)JAMA (1 paper)Cornea (1 paper)MMWR Morbidity and Mortality Weekly Report (1 paper)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Maya M. Rao
6 papers receiving 313 citations
Peers
Comparison fields: 5 of 56
- Ophthalmology 221
- Endocrinology 31
- Public Health, Environmental and Occupational Health 156
- Radiology, Nuclear Medicine and Imaging 66
- Rheumatology 31
Countries citing papers authored by Maya M. Rao
This map shows the geographic impact of Maya M. Rao'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 Maya M. Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya M. Rao more than expected).
Fields of papers citing papers by Maya M. Rao
This network shows the impact of papers produced by Maya M. Rao. 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 Maya M. Rao. The network helps show where Maya M. Rao may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya M. Rao, 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 | 2015 | 170 | |
| 2 | 2019 | 88 | |
| 3 | 2017 | 38 | |
| 4 | 2017 | 18 | |
| 5 | 2019 | 7 | |
| 6 | Quality of Life Outcomes from a Randomized Controlled Trial Comparing Methotrexate to Mycophenolate Mofetil for Noninfectious Uveitis | 2017 | 1 |
About Maya M. Rao
Maya M. Rao is a scholar working on Ophthalmology, Pulmonary and Respiratory Medicine, Rheumatology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 6 papers that have together received 322 indexed citations. Recurring topics across this work include Ocular Diseases and Behçet’s Syndrome (3 papers), Systemic Lupus Erythematosus Research (2 papers), Vasculitis and related conditions (2 papers), Ocular Surface and Contact Lens (2 papers), Ocular Infections and Treatments (2 papers), Syphilis Diagnosis and Treatment (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Ophthalmology (221 citations), Endocrinology (31 citations), Public Health, Environmental and Occupational Health (156 citations), Radiology, Nuclear Medicine and Imaging (66 citations) and Rheumatology (31 citations). Maya M. Rao has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Robin L. Chalmers, Heidi Wagner, Jonathan S. Yoder, Sarah A. Collier, G. Lynn Mitchell, Kathryn Richdale, Beth T. Kinoshita, Luigina Sorbara, Aaron B. Zimmerman and Jennifer R. Cope. Their work appears in journals such as American Journal of Ophthalmology, JAMA, Cornea and MMWR Morbidity and Mortality Weekly Report.
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.