Benjamin Lam
Impact in
- Biomedical Engineering top 5%
- Ultrasound and Hyperthermia Applications
- Photoacoustic and Ultrasonic Imaging
- Nanoplatforms for cancer theranostics
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- Ultrasound Imaging and Elastography
- Advanced MRI Techniques and Applications
Papers in ⓘ
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- Additive Manufacturing and 3D Printing Technologies 3
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- Additive Manufacturing Materials and Processes 2
- Advanced materials and composites 1
- Injection Molding Process and Properties 1
- Co-authors
- Allison Bethune (1 shared paper)Isabelle Aubert (1 shared paper)Ying Meng (1 shared paper)Mario Masellis (1 shared paper)Yuexi Huang (1 shared paper)Chris Heyn (1 shared paper)Nir Lipsman (1 shared paper)Nathan Herrmann (1 shared paper)
- Journals
- Additive manufacturing (1 paper)Journal of Thoracic and Cardiovascular Surgery (1 paper)International Journal of Applied Ceramic Technology (1 paper)Journal of Turbomachinery (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Benjamin Lam
5 papers receiving 671 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Biomedical Engineering 514
- Radiology, Nuclear Medicine and Imaging 260
- Neurology 92
- Neurology 70
- Biomaterials 49
Countries citing papers authored by Benjamin Lam
This map shows the geographic impact of Benjamin Lam'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 Benjamin Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Lam more than expected).
Fields of papers citing papers by Benjamin Lam
This network shows the impact of papers produced by Benjamin Lam. 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 Benjamin Lam. The network helps show where Benjamin Lam may publish in the future.
Co-authors
The 23 scholars most cited alongside Benjamin Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Blood–brain barrier opening in Alzheimer’s disease using MR-guided focused ultrasound Hit paper breakdown → | 2018 | 666 |
| 2 | 2023 | 7 | |
| 3 | 2023 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2025 | 1 |
About Benjamin Lam
Benjamin Lam is a scholar working on Automotive Engineering, Mechanical Engineering, Surgery, Neurology and Pulmonary and Respiratory Medicine, having authored 5 papers that have together received 679 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (3 papers), Additive Manufacturing Materials and Processes (2 papers), Advanced materials and composites (1 paper), Infectious Aortic and Vascular Conditions (1 paper), Injection Molding Process and Properties (1 paper), Advanced ceramic materials synthesis (1 paper), Photoacoustic and Ultrasonic Imaging (1 paper) and Aortic aneurysm repair treatments (1 paper). The work is most often cited by research in Biomedical Engineering (514 citations), Radiology, Nuclear Medicine and Imaging (260 citations), Neurology (92 citations), Neurology (70 citations) and Biomaterials (49 citations). Benjamin Lam has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Allison Bethune, Isabelle Aubert, Ying Meng, Mario Masellis, Yuexi Huang, Chris Heyn, Nir Lipsman, Nathan Herrmann, Alexandre Boutet and Gwenn S. Smith. Their work appears in journals such as Additive manufacturing, Journal of Thoracic and Cardiovascular Surgery, International Journal of Applied Ceramic Technology, Journal of Turbomachinery and Nature Communications.
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.