Silvia D. Chang
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- MRI in cancer diagnosis 25
- Radiomics and Machine Learning in Medical Imaging 10
- Radiology practices and education 9
- Obstetrics and Gynecology top 2%
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- Prostate Cancer Diagnosis and Treatment 38
- Prostate Cancer Treatment and Research 16
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 11
- Rheumatology top 5%
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- AI in cancer detection 12
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- Liver Disease Diagnosis and Treatment 10
- Co-authors
- S. Larry GoldenbergPiotr KozłowskiEdward C. JonesAlison HarrisPeter C. BlackHenry ChenKenneth W. BereanKirk D. Jones
- Cited by
- Radiology, Nuclear Medicine and ImagingObstetrics and GynecologyPulmonary and Respiratory Medicine
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Silvia D. Chang
129 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 112
- Radiology, Nuclear Medicine and Imaging 1.2k
- Obstetrics and Gynecology 271
- Pulmonary and Respiratory Medicine 1.1k
- Hepatology 184
- Rheumatology 305
Countries citing papers authored by Silvia D. Chang
This map shows the geographic impact of Silvia D. Chang'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 Silvia D. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia D. Chang more than expected).
Fields of papers citing papers by Silvia D. Chang
This network shows the impact of papers produced by Silvia D. Chang. 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 Silvia D. Chang. The network helps show where Silvia D. Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Silvia D. Chang, 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 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2021 | 22 | |
| 13 | 2018 | 2 | |
| 14 | 2017 | 18 | |
| 15 | 2015 | 31 | |
| 16 | 2015 | 43 | |
| 17 | 2015 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2007 | 23 | |
| 20 | 2004 | 166 |
About Silvia D. Chang
Silvia D. Chang is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 139 papers that have together received 2.6k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (38 papers), MRI in cancer diagnosis (25 papers), Prostate Cancer Treatment and Research (16 papers), AI in cancer detection (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Liver Disease Diagnosis and Treatment (10 papers) and Radiology practices and education (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Obstetrics and Gynecology (271 citations) and Pulmonary and Respiratory Medicine (1.1k citations). Silvia D. Chang has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include S. Larry Goldenberg, Piotr Kozłowski, Edward C. Jones, Alison Harris, Peter C. Black, Henry Chen, Kenneth W. Berean, Kirk D. Jones, Fergus V. Coakley and Ying Lü.
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.