Amei Chen
Impact in
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- Ultrasound in Clinical Applications
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- MRI in cancer diagnosis
Papers in
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- Parkinson's Disease Mechanisms and Treatments 4
- Brain Tumor Detection and Classification 1
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- Galectins and Cancer Biology 1
- Co-authors
- Xinhua Wei (9 shared papers)Ruimeng Yang (2 shared papers)Chongzhe Yang (1 shared paper)Yuting Liao (1 shared paper)Yongmei Song (1 shared paper)Liyan Xue (1 shared paper)Tong Tong (1 shared paper)Chunling Zhao (1 shared paper)
- Journals
- PLoS ONE (2 papers)Academic Radiology (2 papers)Advanced Science (1 paper)European Child & Adolescent Psychiatry (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Amei Chen
20 papers receiving 374 citations
Peers
Comparison fields: 5 of 70
- Critical Care and Intensive Care Medicine 18
- Radiology, Nuclear Medicine and Imaging 59
- Hepatology 17
- Infectious Diseases 37
- Oncology 50
Countries citing papers authored by Amei Chen
This map shows the geographic impact of Amei 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 Amei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amei Chen more than expected).
Fields of papers citing papers by Amei Chen
This network shows the impact of papers produced by Amei 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 Amei Chen. The network helps show where Amei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Amei 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2007 | 84 | |
| 3 | 2013 | 38 | |
| 4 | 2018 | 27 | |
| 5 | 2021 | 23 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 20 | |
| 8 | 2023 | 16 | |
| 9 | 2017 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2013 | 8 | |
| 15 | 2022 | 4 | |
| 16 | [Polymorphism of killer cell immunoglobulin-like receptor gene and its correlation with leukemia]. | 2007 | 3 |
| 17 | 2022 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Amei Chen
Amei Chen is a scholar working on Neurology, Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 383 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Ubiquitin and proteasome pathways (1 paper), Glycosylation and Glycoproteins Research (1 paper), Medical Image Segmentation Techniques (1 paper), Brain Tumor Detection and Classification (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (18 citations), Radiology, Nuclear Medicine and Imaging (59 citations), Hepatology (17 citations), Infectious Diseases (37 citations) and Oncology (50 citations). Amei Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xinhua Wei, Ruimeng Yang, Chongzhe Yang, Yuting Liao, Yongmei Song, Liyan Xue, Tong Tong, Chunling Zhao, Ming Fu and Zhuan Zhou. Their work appears in journals such as PLoS ONE, Academic Radiology, Advanced Science, European Child & Adolescent Psychiatry and The FASEB Journal.
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.