Chang Su
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Lung Cancer Treatments and Mutations 3
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- Nail Diseases and Treatments 3
- Co-authors
- Paul J. Zhang (11 shared papers)Zishu Zhang (6 shared papers)Harrison X. Bai (3 shared papers)Bo Xiao (2 shared papers)Hao Zhou (2 shared papers)Li Yang (2 shared papers)Martin Vallières (2 shared papers)Haiyun Tang (1 shared paper)
- Journals
- British Journal of Haematology (2 papers)Journal of Ultrasound in Medicine (2 papers)Ultrasound in Medicine & Biology (2 papers)Journal of Vascular and Interventional Radiology (2 papers)Alzheimer s & Dementia (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Chang Su
25 papers receiving 751 citations
Chang Su's Hit Papers
Peers
Comparison fields: 5 of 93
- Genetics 279
- Radiology, Nuclear Medicine and Imaging 376
- Health Informatics 21
- Hepatology 108
- Dermatology 66
Countries citing papers authored by Chang Su
This map shows the geographic impact of Chang Su'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 Chang Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Su more than expected).
Fields of papers citing papers by Chang Su
This network shows the impact of papers produced by Chang Su. 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 Chang Su. The network helps show where Chang Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang Su, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MRI features predict survival and molecular markers in diffuse lower-grade gliomas Hit paper breakdown → | 2016 | 269 |
| 2 | 2019 | 99 | |
| 3 | 1984 | 93 | |
| 4 | 2017 | 48 | |
| 5 | 2018 | 39 | |
| 6 | 2023 | 34 | |
| 7 | 2019 | 31 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2017 | 8 | |
| 14 | 2017 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2018 | 7 | |
| 17 | 2016 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2018 | 4 | |
| 20 | 2018 | 4 |
About Chang Su
Chang Su is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Radiology, Nuclear Medicine and Imaging, Surgery and Dermatology, having authored 30 papers that have together received 757 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Glioma Diagnosis and Treatment (3 papers), Nail Diseases and Treatments (3 papers), Lung Cancer Treatments and Mutations (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Ultrasound Imaging and Elastography (2 papers). The work is most often cited by research in Genetics (279 citations), Radiology, Nuclear Medicine and Imaging (376 citations), Health Informatics (21 citations), Hepatology (108 citations) and Dermatology (66 citations). Chang Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Paul J. Zhang, Zishu Zhang, Harrison X. Bai, Bo Xiao, Hao Zhou, Li Yang, Martin Vallières, Haiyun Tang, Derek A. Oldridge and Jianhua Zhou. Their work appears in journals such as British Journal of Haematology, Journal of Ultrasound in Medicine, Ultrasound in Medicine & Biology, Journal of Vascular and Interventional Radiology and Alzheimer s & Dementia.
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.