Dao Lam
Impact in
- Radiation top 5%
- Advanced Radiotherapy Techniques
- Health Informatics top 10%
Papers in
-
- Advanced Radiotherapy Techniques 6
- Nuclear Physics and Applications 1
- Radiation Detection and Scintillator Technologies 1
-
- Medical Imaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Baozhou Sun (4 shared papers)Sasa Mutic (4 shared papers)Tianyu Zhao (3 shared papers)Deshan Yang (3 shared papers)Justin Kirby (1 shared paper)Bruno Oliveira (1 shared paper)Harini Veeraraghavan (1 shared paper)Xiao Han (1 shared paper)
- Journals
- Medical Physics (3 papers)International Journal of Hyperthermia (2 papers)Radiotherapy and Oncology (1 paper)Journal of Applied Clinical Medical Physics (1 paper)Biomedical Physics & Engineering Express (1 paper)
- Partner nations
- United StatesChinaVietnam
In The Last Decade
Dao Lam
9 papers receiving 337 citations
Peers
Comparison fields: 5 of 53
- Radiation 213
- Health Informatics 17
- Radiology, Nuclear Medicine and Imaging 247
- Pulmonary and Respiratory Medicine 114
- Otorhinolaryngology 14
Countries citing papers authored by Dao Lam
This map shows the geographic impact of Dao 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 Dao Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dao Lam more than expected).
Fields of papers citing papers by Dao Lam
This network shows the impact of papers produced by Dao 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 Dao Lam. The network helps show where Dao Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Dao 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 | 2018 | 176 | |
| 2 | 2019 | 81 | |
| 3 | 2018 | 29 | |
| 4 | 2022 | 18 | |
| 5 | 2018 | 13 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2023 | 1 |
About Dao Lam
Dao Lam is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Critical Care and Intensive Care Medicine, having authored 9 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (6 papers), Medical Imaging Techniques and Applications (3 papers), Radiation Therapy and Dosimetry (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Nuclear Physics and Applications (1 paper), Ultrasound in Clinical Applications (1 paper) and Radiation Detection and Scintillator Technologies (1 paper). The work is most often cited by research in Radiation (213 citations), Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (247 citations), Pulmonary and Respiratory Medicine (114 citations) and Otorhinolaryngology (14 citations). Dao Lam has collaborated with scholars based in United States, China and Vietnam. Frequent co-authors include Baozhou Sun, Sasa Mutic, Tianyu Zhao, Deshan Yang, Justin Kirby, Bruno Oliveira, Harini Veeraraghavan, Xiao Han, Mark J. Gooding and Jinzhong Yang. Their work appears in journals such as Medical Physics, International Journal of Hyperthermia, Radiotherapy and Oncology, Journal of Applied Clinical Medical Physics and Biomedical Physics & Engineering Express.
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.