Aaron K. Chow
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Gastroenterology top 5%
- Gastrointestinal motility and disorders
Papers in
- Surgery 1
- Pancreatic function and diabetes 1
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- Biomedical Text Mining and Ontologies 1
- Co-authors
- Brian D. Gulbransen (3 shared papers)Vladimir Grubišić (1 shared paper)Ahrong Kim (1 shared paper)Ankush Patel (1 shared paper)Long P. Le (1 shared paper)Chengkuan Chen (1 shared paper)Georg K. Gerber (1 shared paper)Tong Ding (1 shared paper)
- Journals
- Neurogastroenterology & Motility (1 paper)The Journal of Immunology (1 paper)Cellular and Molecular Gastroenterology and Hepatology (1 paper)Nature (1 paper)American Journal of Physiology-Gastrointestinal and Liver Physiology (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Aaron K. Chow
5 papers receiving 356 citations
Aaron K. Chow's Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 48
- Gastroenterology 69
- Hepatology 24
- Artificial Intelligence 90
- Radiology, Nuclear Medicine and Imaging 57
Countries citing papers authored by Aaron K. Chow
This map shows the geographic impact of Aaron K. Chow'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 Aaron K. Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron K. Chow more than expected).
Fields of papers citing papers by Aaron K. Chow
This network shows the impact of papers produced by Aaron K. Chow. 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 Aaron K. Chow. The network helps show where Aaron K. Chow may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron K. Chow, 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 | A multimodal generative AI copilot for human pathology Hit paper breakdown → | 2024 | 193 |
| 2 | 2016 | 75 | |
| 3 | 2021 | 47 | |
| 4 | 2014 | 39 | |
| 5 | 2023 | 7 |
About Aaron K. Chow
Aaron K. Chow is a scholar working on Surgery, Molecular Biology, Artificial Intelligence, Pharmacy and Neurology, having authored 5 papers that have together received 361 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (1 paper), Infant Health and Development (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Liver physiology and pathology (1 paper), Gastrointestinal motility and disorders (1 paper), Vagus Nerve Stimulation Research (1 paper), Pancreatic function and diabetes (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Health Informatics (48 citations), Gastroenterology (69 citations), Hepatology (24 citations), Artificial Intelligence (90 citations) and Radiology, Nuclear Medicine and Imaging (57 citations). Aaron K. Chow has collaborated with scholars based in United States and South Korea. Frequent co-authors include Brian D. Gulbransen, Vladimir Grubišić, Ahrong Kim, Ankush Patel, Long P. Le, Chengkuan Chen, Georg K. Gerber, Tong Ding, Melissa Zhao and Faisal Mahmood. Their work appears in journals such as Neurogastroenterology & Motility, The Journal of Immunology, Cellular and Molecular Gastroenterology and Hepatology, Nature and American Journal of Physiology-Gastrointestinal and Liver Physiology.
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.