Da Ma
Impact in
- Health Informatics top 10%
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
Papers in
-
- Retinal Imaging and Analysis 12
- Advanced Neuroimaging Techniques and Applications 9
- Co-authors
- Mirza Faisal Beg (31 shared papers)Karteek Popuri (18 shared papers)Lei Wang (12 shared papers)Xin Ye (1 shared paper)Mark F. Lythgoe (12 shared papers)Marinko V. Šarunic (18 shared papers)Donghuan Lu (5 shared papers)Sieun Lee (13 shared papers)
- Journals
- Alzheimer s & Dementia (8 papers)Investigative Ophthalmology & Visual Science (5 papers)Frontiers in Neuroscience (4 papers)Neurobiology of Disease (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Da Ma
69 papers receiving 983 citations
Peers
Comparison fields: 5 of 125
- Health Informatics 22
- Ophthalmology 117
- Neurology 113
- Radiology, Nuclear Medicine and Imaging 274
- Psychiatry and Mental health 119
Countries citing papers authored by Da Ma
This map shows the geographic impact of Da Ma'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 Da Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Ma more than expected).
Fields of papers citing papers by Da Ma
This network shows the impact of papers produced by Da Ma. 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 Da Ma. The network helps show where Da Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 84 | |
| 2 | 2021 | 76 | |
| 3 | 2020 | 66 | |
| 4 | 2014 | 53 | |
| 5 | 2013 | 45 | |
| 6 | 2020 | 44 | |
| 7 | 2017 | 40 | |
| 8 | 2020 | 39 | |
| 9 | 2018 | 34 | |
| 10 | 2007 | 31 | |
| 11 | 2022 | 26 | |
| 12 | 2019 | 25 | |
| 13 | 2016 | 24 | |
| 14 | 2021 | 23 | |
| 15 | 2017 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2013 | 19 | |
| 18 | 2024 | 19 | |
| 19 | 2022 | 18 | |
| 20 | 2019 | 18 |
About Da Ma
Da Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Psychiatry and Mental health, Artificial Intelligence and Ophthalmology, having authored 77 papers that have together received 992 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (14 papers), Retinal Imaging and Analysis (12 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Alzheimer's disease research and treatments (8 papers), Functional Brain Connectivity Studies (7 papers), Medical Image Segmentation Techniques (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Optical Coherence Tomography Applications (4 papers). The work is most often cited by research in Health Informatics (22 citations), Ophthalmology (117 citations), Neurology (113 citations), Radiology, Nuclear Medicine and Imaging (274 citations) and Psychiatry and Mental health (119 citations). Da Ma has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mirza Faisal Beg, Karteek Popuri, Lei Wang, Xin Ye, Mark F. Lythgoe, Marinko V. Šarunic, Donghuan Lu, Sieun Lee, Marc Modat and Sébastien Ourselin. Their work appears in journals such as Alzheimer s & Dementia, Investigative Ophthalmology & Visual Science, Frontiers in Neuroscience, Neurobiology of Disease and PLoS ONE.
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.