Mary Sun
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Oncology 8
- Cutaneous Melanoma Detection and Management 6
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- Body Image and Dysmorphia Studies 3
- Co-authors
- Veronica Rotemberg (6 shared papers)James Zou (1 shared paper)Roxana Daneshjou (1 shared paper)Richard Ha (4 shared papers)Ralph Wynn (1 shared paper)Victoria L. Mango (1 shared paper)Simukayi Mutasa (3 shared papers)John S. Nemer (3 shared papers)
- Journals
- Journal of Investigative Dermatology (3 papers)Skin Research and Technology (2 papers)Journal of the American Academy of Dermatology (2 papers)Academic Medicine (1 paper)Clinical Breast Cancer (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Mary Sun
25 papers receiving 574 citations
Mary Sun's Hit Papers
Peers
Comparison fields: 5 of 108
- Health Informatics 96
- Radiology, Nuclear Medicine and Imaging 139
- Dermatology 47
- Artificial Intelligence 182
- Oncology 119
Countries citing papers authored by Mary Sun
This map shows the geographic impact of Mary Sun'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 Mary Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Sun more than expected).
Fields of papers citing papers by Mary Sun
This network shows the impact of papers produced by Mary Sun. 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 Mary Sun. The network helps show where Mary Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary Sun, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms Hit paper breakdown → | 2021 | 217 |
| 2 | 2019 | 95 | |
| 3 | 2020 | 75 | |
| 4 | 2022 | 40 | |
| 5 | 2021 | 31 | |
| 6 | 2021 | 21 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 3 | |
| 18 | Chemical and physical compatibility of an intravenous solution of epinephrine with calcium chloride. | 2014 | 2 |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About Mary Sun
Mary Sun is a scholar working on Oncology, Clinical Psychology, Public Health, Environmental and Occupational Health, Dermatology and Sociology and Political Science, having authored 28 papers that have together received 585 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (6 papers), AI in cancer detection (4 papers), Medicine and Dermatology Studies History (3 papers), Climate Change and Health Impacts (3 papers), Empathy and Medical Education (3 papers), Body Image and Dysmorphia Studies (3 papers), Digital Imaging in Medicine (3 papers) and Infection Control and Ventilation (2 papers). The work is most often cited by research in Health Informatics (96 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Dermatology (47 citations), Artificial Intelligence (182 citations) and Oncology (119 citations). Mary Sun has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Veronica Rotemberg, James Zou, Roxana Daneshjou, Richard Ha, Ralph Wynn, Victoria L. Mango, Simukayi Mutasa, John S. Nemer, Michael Z. Liu and Sachin Jambawalikar. Their work appears in journals such as Journal of Investigative Dermatology, Skin Research and Technology, Journal of the American Academy of Dermatology, Academic Medicine and Clinical Breast Cancer.
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.