Bryan Lim
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Wound Healing and Treatments
Papers in
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- Artificial Intelligence in Healthcare and Education 19
- Surgery 10
- Breast Implant and Reconstruction 5
- Anesthesia and Pain Management 2
- Orthopedic Surgery and Rehabilitation 2
- Reconstructive Surgery and Microvascular Techniques 2
- Co-authors
- Ishith Seth (36 shared papers)Warren M. Rozen (34 shared papers)Roberto Cuomo (24 shared papers)Jevan Cevik (10 shared papers)Richard J. Ross (11 shared papers)Yi Xie (13 shared papers)Foti Sofiadellis (7 shared papers)David J. Hunter‐Smith (4 shared papers)
In The Last Decade
Bryan Lim
31 papers receiving 364 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 227
- Rehabilitation 26
- Safety Research 23
- Dermatology 14
- Surgery 39
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 65 | |
| 2 | 2024 | 61 | |
| 3 | 2023 | 37 | |
| 4 | 2023 | 26 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 23 | |
| 7 | 2024 | 22 | |
| 8 | 2024 | 16 | |
| 9 | 2024 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2025 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About Bryan Lim
Bryan Lim is a scholar working on Health Informatics, Surgery, Dermatology, Safety Research and Rheumatology, having authored 38 papers that have together received 381 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (19 papers), Breast Implant and Reconstruction (5 papers), Anesthesia and Pain Management (2 papers), Orthopedic Surgery and Rehabilitation (2 papers), Ethics and Social Impacts of AI (2 papers), Reconstructive Surgery and Microvascular Techniques (2 papers), Cancer and Skin Lesions (1 paper) and Pain Management and Treatment (1 paper). The work is most often cited by research in Health Informatics (227 citations), Rehabilitation (26 citations), Safety Research (23 citations), Dermatology (14 citations) and Surgery (39 citations). Bryan Lim has collaborated with scholars based in Australia, Italy and Denmark. Frequent co-authors include Ishith Seth, Warren M. Rozen, Roberto Cuomo, Jevan Cevik, Richard J. Ross, Yi Xie, Foti Sofiadellis, David J. Hunter‐Smith, Gabriella Bulloch and Abhinav Pratap Singh. Their work appears in journals such as Aesthetic Plastic Surgery, Journal of Clinical Medicine, Hand, Life and Journal of Personalized Medicine.
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.