Joanna X. Liang
- Health Informatics top 5%
-
- Cardiac Imaging and Diagnostics 29
- Medical Imaging Techniques and Applications 9
- Advanced MRI Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 4
- Radiation Dose and Imaging 3
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- Cardiovascular Function and Risk Factors 7
- Cardiovascular Disease and Adiposity 3
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- Advanced X-ray and CT Imaging 17
- Health Information Management top 10%
- Co-authors
- Piotr J. SlomkaDaniel S. BermanDamini DeyAndrew J. EinsteinEdward J. MillerRobert J.H. MillerPhilipp A. KaufmannTimothy M. Bateman
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCardiology and Cardiovascular Medicine
- Journals
- Journal of Nuclear Cardiology (11 papers)Journal of Nuclear Medicine (6 papers)JACC. Cardiovascular imaging (3 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Joanna X. Liang
31 papers receiving 547 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 40
- Radiology, Nuclear Medicine and Imaging 382
- Cardiology and Cardiovascular Medicine 150
- Biomedical Engineering 200
- Health Information Management 18
Countries citing papers authored by Joanna X. Liang
This map shows the geographic impact of Joanna X. Liang'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 Joanna X. Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna X. Liang more than expected).
Fields of papers citing papers by Joanna X. Liang
This network shows the impact of papers produced by Joanna X. Liang. 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 Joanna X. Liang. The network helps show where Joanna X. Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joanna X. Liang, 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 | 1 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 15 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 13 | |
| 11 | 2022 | 21 | |
| 12 | 2022 | 42 | |
| 13 | 2022 | 20 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 10 | |
| 17 | 2021 | 5 | |
| 18 | 2020 | 36 | |
| 19 | 2019 | 16 | |
| 20 | 2018 | 95 |
About Joanna X. Liang
Joanna X. Liang is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 552 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (29 papers), Advanced X-ray and CT Imaging (17 papers), Medical Imaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (8 papers), Cardiovascular Function and Risk Factors (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Health Informatics (40 citations), Radiology, Nuclear Medicine and Imaging (382 citations) and Cardiology and Cardiovascular Medicine (150 citations). Joanna X. Liang has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Piotr J. Slomka, Daniel S. Berman, Damini Dey, Andrew J. Einstein, Edward J. Miller, Robert J.H. Miller, Philipp A. Kaufmann, Timothy M. Bateman, Albert J. Sinusas and Terrence D. Ruddy. Their work appears in journals such as Journal of Nuclear Cardiology, Journal of Nuclear Medicine, JACC. Cardiovascular imaging, Circulation Cardiovascular Imaging and npj Digital Medicine.
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.