Anmol Arora
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 2%
- Ocular Oncology and Treatments
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
Papers in
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- Artificial Intelligence in Healthcare and Education 10
-
- Ocular Oncology and Treatments 31
- Retinal Diseases and Treatments 13
- Glaucoma and retinal disorders 9
- Retinal and Optic Conditions 6
- Co-authors
- R. SrinivasanAnanya AroraVictoria M.L. CohenMandeep S. SagooSophia PirogJames WardP. John ClarksonLamis Al Harby
- Journals
- Eye (7 papers)British Journal of Ophthalmology (6 papers)Cancers (4 papers)PLoS ONE (4 papers)Ophthalmology Retina (2 papers)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Anmol Arora
92 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 161
- Health Informatics 91
- Ophthalmology 284
- Health Information Management 33
- Oncology 157
- Radiology, Nuclear Medicine and Imaging 132
Countries citing papers authored by Anmol Arora
This map shows the geographic impact of Anmol Arora'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 Anmol Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anmol Arora more than expected).
Fields of papers citing papers by Anmol Arora
This network shows the impact of papers produced by Anmol Arora. 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 Anmol Arora. The network helps show where Anmol Arora may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anmol Arora, 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 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 0 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 0 | |
| 11 | 2021 | 0 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 8 | |
| 14 | Conceptualising Artificial Intelligence as a Digital Healthcare Innovation: An Introductory Review | 2020 | 9 |
| 15 | 2020 | 24 | |
| 16 | 2020 | 13 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 2 | |
| 19 | Pharmacotherapy for Pulmonary Hypertension: Future Directions | 2017 | 0 |
| 20 | Art of teaching. | 1983 | 10 |
About Anmol Arora
Anmol Arora is a scholar working on Health Informatics, Ophthalmology, Microbiology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 107 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ocular Oncology and Treatments (31 papers), Retinal Diseases and Treatments (13 papers), Cutaneous Melanoma Detection and Management (13 papers), Artificial Intelligence in Healthcare and Education (10 papers), Glaucoma and retinal disorders (9 papers), Retinal and Optic Conditions (6 papers), Retinal Development and Disorders (6 papers) and COVID-19 and healthcare impacts (5 papers). The work is most often cited by research in Health Informatics (91 citations), Ophthalmology (284 citations), Health Information Management (33 citations), Oncology (157 citations) and Radiology, Nuclear Medicine and Imaging (132 citations). Anmol Arora has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include R. Srinivasan, Ananya Arora, Victoria M.L. Cohen, Mandeep S. Sagoo, Sophia Pirog, James Ward, P. John Clarkson, Lamis Al Harby, Ido Didi Fabian and Heike Schroeder. Their work appears in journals such as Eye, British Journal of Ophthalmology, Cancers, PLoS ONE and Ophthalmology Retina.
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.