Bryan Lim
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Wound Healing and Treatments
Papers in
-
- Artificial Intelligence in Healthcare and Education 17
- Surgery 10
- Breast Implant and Reconstruction 4
- Reconstructive Surgery and Microvascular Techniques 3
- Co-authors
- Ishith Seth (32 shared papers)Warren M. Rozen (31 shared papers)Jevan Cevik (10 shared papers)Roberto Cuomo (23 shared papers)Richard J. Ross (11 shared papers)Yi Xie (11 shared papers)David J. Hunter‐Smith (4 shared papers)Abhinav Pratap Singh (1 shared paper)
In The Last Decade
Bryan Lim
29 papers receiving 320 citations
Peers
Comparison fields: 5 of 66
- Health Informatics 150
- Rehabilitation 20
- Family Practice 4
- Health Information Management 9
- Surgery 60
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 21 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 60 | |
| 2 | 2024 | 51 | |
| 3 | 2023 | 33 | |
| 4 | 2023 | 24 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 20 | |
| 7 | 2024 | 18 | |
| 8 | 2024 | 16 | |
| 9 | 2023 | 10 | |
| 10 | 2024 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 2 |
About Bryan Lim
Bryan Lim is a scholar working on Health Informatics, Surgery, Radiology, Nuclear Medicine and Imaging, Oncology and Biomedical Engineering, having authored 37 papers that have together received 326 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (17 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Breast Implant and Reconstruction (4 papers), Reconstructive Surgery and Microvascular Techniques (3 papers), Simulation-Based Education in Healthcare (2 papers), Wound Healing and Treatments (2 papers), Cutaneous Melanoma Detection and Management (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (150 citations), Rehabilitation (20 citations), Family Practice (4 citations), Health Information Management (9 citations) and Surgery (60 citations). Bryan Lim has collaborated with scholars based in Australia, Italy and Denmark. Frequent co-authors include Ishith Seth, Warren M. Rozen, Jevan Cevik, Roberto Cuomo, Richard J. Ross, Yi Xie, David J. Hunter‐Smith, Abhinav Pratap Singh, Gabriella Bulloch and Sally Ng. Their work appears in journals such as Journal of Clinical Medicine, Aesthetic Plastic Surgery, Life, Journal of Plastic Reconstructive & Aesthetic Surgery 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.