Emily Chang
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
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- Ultrasound and Hyperthermia Applications 11
-
- MRI in cancer diagnosis 9
- Advanced MRI Techniques and Applications 6
- Ultrasound Imaging and Elastography 4
- Co-authors
- Lauren M. Burke (2 shared papers)Paul A. Dayton (7 shared papers)Michael Jay (1 shared paper)Mamdoh AlObaidy (1 shared paper)Richard C. Semelka (1 shared paper)Miguel Ramalho (1 shared paper)Sandeep K. Kasoji (6 shared papers)Mark J. Levis (2 shared papers)
- Journals
- Journal of NeuroInterventional Surgery (2 papers)Cancer Research (2 papers)Obstetrics and Gynecology (2 papers)Scientific Reports (1 paper)World Neurosurgery (1 paper)
- Partner nations
- United StatesSouth KoreaTürkiye
In The Last Decade
Emily Chang
42 papers receiving 770 citations
Peers
Comparison fields: 5 of 115
- Aging 16
- Rehabilitation 60
- Radiology, Nuclear Medicine and Imaging 194
- Urology 45
- Hematology 73
Countries citing papers authored by Emily Chang
This map shows the geographic impact of Emily 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 Emily Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Chang more than expected).
Fields of papers citing papers by Emily Chang
This network shows the impact of papers produced by Emily 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 Emily Chang. The network helps show where Emily Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily 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
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 125 | |
| 2 | 2020 | 82 | |
| 3 | 2016 | 82 | |
| 4 | 2015 | 52 | |
| 5 | 2015 | 49 | |
| 6 | 2017 | 41 | |
| 7 | 2017 | 37 | |
| 8 | 2020 | 27 | |
| 9 | 2018 | 27 | |
| 10 | 2014 | 25 | |
| 11 | 2016 | 25 | |
| 12 | 2020 | 21 | |
| 13 | 2015 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2015 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2011 | 13 | |
| 18 | 2023 | 11 | |
| 19 | 2024 | 11 | |
| 20 | 2024 | 11 |
About Emily Chang
Emily Chang is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology and Nephrology, having authored 46 papers that have together received 781 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (11 papers), MRI in cancer diagnosis (9 papers), Advanced MRI Techniques and Applications (6 papers), Renal cell carcinoma treatment (6 papers), Ultrasound Imaging and Elastography (4 papers), Cerebral Venous Sinus Thrombosis (3 papers), Renal and Vascular Pathologies (3 papers) and Pediatric Urology and Nephrology Studies (3 papers). The work is most often cited by research in Aging (16 citations), Rehabilitation (60 citations), Radiology, Nuclear Medicine and Imaging (194 citations), Urology (45 citations) and Hematology (73 citations). Emily Chang has collaborated with scholars based in United States, South Korea and Türkiye. Frequent co-authors include Lauren M. Burke, Paul A. Dayton, Michael Jay, Mamdoh AlObaidy, Richard C. Semelka, Miguel Ramalho, Sandeep K. Kasoji, Mark J. Levis, W. Kimryn Rathmell and Amanda M. Nelson. Their work appears in journals such as Journal of NeuroInterventional Surgery, Cancer Research, Obstetrics and Gynecology, Scientific Reports and World Neurosurgery.
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.