Mohith Shamdas
- Radiology, Nuclear Medicine and Imaging top 5%
- Health Informatics top 0.1%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Health Information Management top 2%
- Co-authors
- Konstantinos BalaskasAlastair K. DennistonXiaoxuan LiuGabriella MoraesAlice BruynseelsAditya U. KalePearse A. KeaneLucas M. Bachmann
- Topics
- Retinal and Optic Conditions (3 papers)Ocular Diseases and Behçet’s Syndrome (3 papers)Artificial Intelligence in Healthcare and Education (2 papers)
- Journals
- Investigative Ophthalmology & Visual ScienceBritish Journal of OphthalmologyFrontiers in Cellular and Infection Microbiology
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Mohith Shamdas
10 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Radiology, Nuclear Medicine and Imaging 478
- Health Informatics 452
- Artificial Intelligence 368
- Biomedical Engineering 130
- Health Information Management 101
Countries citing papers authored by Mohith Shamdas
This map shows the geographic impact of Mohith Shamdas'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 Mohith Shamdas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohith Shamdas more than expected).
Fields of papers citing papers by Mohith Shamdas
This network shows the impact of papers produced by Mohith Shamdas. 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 Mohith Shamdas. The network helps show where Mohith Shamdas may publish in the future.
Co-authorship network of co-authors of Mohith Shamdas
This figure shows the co-authorship network connecting the top 25 collaborators of Mohith Shamdas. A scholar is included among the top collaborators of Mohith Shamdas 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 Mohith Shamdas. Mohith Shamdas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 17 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | Conjunctivitis due to Dupilumab Treatment in Atopic Dermatitis: Clinical features and impact on gut microbiome | 1 |
| 6 | A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysisbreakdown → | 1020 |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 18 | |
| 10 | 1 |
About Mohith Shamdas
Mohith Shamdas is a scholar working on Health Informatics, Ophthalmology and Biological Psychiatry, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal and Optic Conditions (3 papers), Ocular Diseases and Behçet’s Syndrome (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (452 citations), Health Information Management (101 citations) and Radiology, Nuclear Medicine and Imaging (478 citations). Mohith Shamdas has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Konstantinos Balaskas, Alastair K. Denniston, Xiaoxuan Liu, Gabriella Moraes, Alice Bruynseels, Aditya U. Kale, Pearse A. Keane, Lucas M. Bachmann, Dun Jack Fu and Livia Faes. Their work appears in journals such as Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology and Frontiers in Cellular and Infection Microbiology.
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.