Tiffany Chen
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Oncology 12
- CAR-T cell therapy research 4
- Cancer Diagnosis and Treatment 3
- Ear and Head Tumors 2
-
- AI in cancer detection 10
- Co-authors
- Faisal Mahmood (17 shared papers)Richard J. Chen (14 shared papers)Ming Y. Lu (16 shared papers)Drew F. K. Williamson (14 shared papers)Jana Lipková (12 shared papers)Chengkuan Chen (3 shared papers)Muhammad Shaban (6 shared papers)Maha Shady (7 shared papers)
- Journals
- Journal of Pathology Informatics (4 papers)Nature Biomedical Engineering (4 papers)Cancer Cell (2 papers)Cancer Research (2 papers)Histopathology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Tiffany Chen
60 papers receiving 3.0k citations
Tiffany Chen's Hit Papers
Peers
Comparison fields: 5 of 175
- Health Informatics 316
- Radiology, Nuclear Medicine and Imaging 705
- Artificial Intelligence 1.1k
- Biophysics 146
- Otorhinolaryngology 86
Countries citing papers authored by Tiffany Chen
This map shows the geographic impact of Tiffany Chen'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 Tiffany Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiffany Chen more than expected).
Fields of papers citing papers by Tiffany Chen
This network shows the impact of papers produced by Tiffany Chen. 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 Tiffany Chen. The network helps show where Tiffany Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiffany Chen, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Synthetic data in machine learning for medicine and healthcare Hit paper breakdown → | 2021 | 443 |
| 2 | Artificial intelligence for multimodal data integration in oncology Hit paper breakdown → | 2022 | 383 |
| 3 | Pan-cancer integrative histology-genomic analysis via multimodal deep learning Hit paper breakdown → | 2022 | 325 |
| 4 | Algorithmic fairness in artificial intelligence for medicine and healthcare Hit paper breakdown → | 2023 | 299 |
| 5 | Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning Hit paper breakdown → | 2022 | 285 |
| 6 | 2021 | 172 | |
| 7 | 2017 | 132 | |
| 8 | 2010 | 116 | |
| 9 | 2019 | 96 | |
| 10 | 2022 | 58 | |
| 11 | 2017 | 55 | |
| 12 | 2022 | 54 | |
| 13 | 2022 | 53 | |
| 14 | 2017 | 47 | |
| 15 | 2024 | 46 | |
| 16 | 2023 | 44 | |
| 17 | 2009 | 41 | |
| 18 | 2009 | 36 | |
| 19 | 2024 | 32 | |
| 20 | 2017 | 30 |
About Tiffany Chen
Tiffany Chen is a scholar working on Oncology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Surgery and Occupational Therapy, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), CAR-T cell therapy research (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Cancer Diagnosis and Treatment (3 papers), Assistive Technology in Communication and Mobility (3 papers), Head and Neck Cancer Studies (3 papers) and Ear and Head Tumors (2 papers). The work is most often cited by research in Health Informatics (316 citations), Radiology, Nuclear Medicine and Imaging (705 citations), Artificial Intelligence (1.1k citations), Biophysics (146 citations) and Otorhinolaryngology (86 citations). Tiffany Chen has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Faisal Mahmood, Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, Jana Lipková, Chengkuan Chen, Muhammad Shaban, Maha Shady, Andrew D. Trister and Yicong Li. Their work appears in journals such as Journal of Pathology Informatics, Nature Biomedical Engineering, Cancer Cell, Cancer Research and Histopathology.
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.