Bryan Lim
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
Papers in ⓘ
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- Artificial Intelligence in Healthcare and Education 18
- Surgery 13
- Reconstructive Surgery and Microvascular Techniques 4
- Breast Implant and Reconstruction 3
- Surgical Simulation and Training 3
- Co-authors
- Ishith Seth (30 shared papers)Warren M. Rozen (29 shared papers)Jevan Cevik (10 shared papers)Richard J. Ross (11 shared papers)Roberto Cuomo (22 shared papers)Yi Xie (10 shared papers)David J. Hunter‐Smith (4 shared papers)Justin Yeung (1 shared paper)
In The Last Decade
Bryan Lim
26 papers receiving 272 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 159
- Family Practice 12
- Health Information Management 14
- Rehabilitation 19
- Radiology, Nuclear Medicine and Imaging 50
Countries citing papers authored by Bryan Lim
This map shows the geographic impact of Bryan Lim'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 Bryan Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Lim more than expected).
Fields of papers citing papers by Bryan Lim
This network shows the impact of papers produced by Bryan Lim. 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 Bryan Lim. The network helps show where Bryan Lim may publish in the future.
Co-authors
The 20 scholars most cited alongside Bryan Lim, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 56 | |
| 2 | 2024 | 39 | |
| 3 | 2023 | 31 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 21 | |
| 6 | 2023 | 19 | |
| 7 | 2024 | 15 | |
| 8 | 2024 | 13 | |
| 9 | 2023 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 1 |
About Bryan Lim
Bryan Lim is a scholar working on Health Informatics, Surgery, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 279 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (18 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Anatomy and Medical Technology (4 papers), Reconstructive Surgery and Microvascular Techniques (4 papers), Breast Implant and Reconstruction (3 papers), Surgical Simulation and Training (3 papers), COVID-19 diagnosis using AI (2 papers) and Patient-Provider Communication in Healthcare (2 papers). The work is most often cited by research in Health Informatics (159 citations), Family Practice (12 citations), Health Information Management (14 citations), Rehabilitation (19 citations) and Radiology, Nuclear Medicine and Imaging (50 citations). Bryan Lim has collaborated with scholars based in Australia, Italy and Denmark. Frequent co-authors include Ishith Seth, Warren M. Rozen, Jevan Cevik, Richard J. Ross, Roberto Cuomo, Yi Xie, David J. Hunter‐Smith, Justin Yeung, Abhinav Pratap Singh and Alexander D. Cameron. Their work appears in journals such as Journal of Clinical Medicine, Aesthetic Plastic Surgery, Journal of Personalized Medicine, Life and ANZ Journal of Surgery.
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.