Benjamin Lam
Impact in
- Biomedical Engineering top 5%
- Ultrasound and Hyperthermia Applications
- Photoacoustic and Ultrasonic Imaging
- Nanoplatforms for cancer theranostics
- Neurology top 10%
- Barrier Structure and Function Studies
Papers in
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- Additive Manufacturing and 3D Printing Technologies 3
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- Additive Manufacturing Materials and Processes 2
- Injection Molding Process and Properties 1
- Advanced materials and composites 1
- Co-authors
- Sandra E. Black (1 shared paper)Mario Masellis (1 shared paper)Kullervo Hynynen (2 shared papers)Allison Bethune (1 shared paper)Nathan Herrmann (1 shared paper)Chris Heyn (1 shared paper)Yuexi Huang (2 shared papers)Nir Lipsman (2 shared papers)
- Journals
- International Journal of Applied Ceramic Technology (1 paper)Journal of Turbomachinery (1 paper)Additive manufacturing (1 paper)Nature Communications (1 paper)Movement Disorders Clinical Practice (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Benjamin Lam
5 papers receiving 707 citations
Benjamin Lam's Hit Papers
Peers
Comparison fields: 5 of 79
- Biomedical Engineering 515
- Neurology 89
- Radiology, Nuclear Medicine and Imaging 213
- Neurology 65
- Developmental Neuroscience 16
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 22 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 | 703 |
| 2 | 2023 | 7 | |
| 3 | 2023 | 5 | |
| 4 | 2024 | 3 | |
| 5 | 2025 | 1 |
About Benjamin Lam
Benjamin Lam is a scholar working on Automotive Engineering, Mechanical Engineering, Neurology, Ceramics and Composites and Aerospace Engineering, having authored 5 papers that have together received 719 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (3 papers), Additive Manufacturing Materials and Processes (2 papers), Injection Molding Process and Properties (1 paper), Advanced materials and composites (1 paper), Advanced ceramic materials synthesis (1 paper), Neurological disorders and treatments (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Rocket and propulsion systems research (1 paper). The work is most often cited by research in Biomedical Engineering (515 citations), Neurology (89 citations), Radiology, Nuclear Medicine and Imaging (213 citations), Neurology (65 citations) and Developmental Neuroscience (16 citations). Benjamin Lam has collaborated with scholars based in United States and Canada. Frequent co-authors include Sandra E. Black, Mario Masellis, Kullervo Hynynen, Allison Bethune, Nathan Herrmann, Chris Heyn, Yuexi Huang, Nir Lipsman, Ying Meng and Alexandre Boutet. Their work appears in journals such as International Journal of Applied Ceramic Technology, Journal of Turbomachinery, Additive manufacturing, Nature Communications and Movement Disorders Clinical Practice.
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.