Jamie Chen
Impact in
- Health Informatics top 10%
Papers in
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- Advanced Radiotherapy Techniques 5
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- Radiomics and Machine Learning in Medical Imaging 3
- Medical Imaging Techniques and Applications 2
- Co-authors
- Frank M. Longo (3 shared papers)Frank R. Sharp (3 shared papers)Stephen M. Massa (2 shared papers)Jianru Zuo (1 shared paper)Purnima Narasimhan (1 shared paper)S. Wang (1 shared paper)Kenneth G. Haglid (1 shared paper)Steven H. Graham (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (6 papers)American Journal of Geriatric Psychiatry (2 papers)Fertility and Sterility (2 papers)European Journal of Surgical Oncology (1 paper)Annals of Oncology (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Jamie Chen
25 papers receiving 437 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 16
- Aging 18
- Cell Biology 76
- Molecular Biology 212
- Physiology 75
Countries citing papers authored by Jamie Chen
This map shows the geographic impact of Jamie Chen'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 Jamie Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Chen more than expected).
Fields of papers citing papers by Jamie Chen
This network shows the impact of papers produced by Jamie Chen. 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 Jamie Chen. The network helps show where Jamie Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamie Chen, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 96 | |
| 2 | 1995 | 93 | |
| 3 | 2018 | 59 | |
| 4 | 1993 | 56 | |
| 5 | 2008 | 29 | |
| 6 | 2014 | 25 | |
| 7 | 2023 | 22 | |
| 8 | 2020 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 2020 | 12 | |
| 11 | 2022 | 6 | |
| 12 | 2005 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2014 | 2 | |
| 17 | 2009 | 2 | |
| 18 | 2009 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2005 | 2 |
About Jamie Chen
Jamie Chen is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Dermatology, Ophthalmology and Health Informatics, having authored 31 papers that have together received 458 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (5 papers), Heat shock proteins research (3 papers), Dermatology and Skin Diseases (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Urticaria and Related Conditions (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (16 citations), Aging (18 citations), Cell Biology (76 citations), Molecular Biology (212 citations) and Physiology (75 citations). Jamie Chen has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Frank M. Longo, Frank R. Sharp, Stephen M. Massa, Jianru Zuo, Purnima Narasimhan, S. Wang, Kenneth G. Haglid, Steven H. Graham, Peng‐Tai Tien and Ching‐Yao Chang. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, American Journal of Geriatric Psychiatry, Fertility and Sterility, European Journal of Surgical Oncology and Annals of Oncology.
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.