Ian Pan
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Artificial Intelligence in Healthcare and Education 9
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- Radiomics and Machine Learning in Medical Imaging 13
- COVID-19 diagnosis using AI 10
- Radiology practices and education 3
- Co-authors
- Saurabh Agarwal (2 shared papers)Harrison Xiao Bai (2 shared papers)Kasey Halsey (2 shared papers)Thi My Linh Tran (3 shared papers)Zeng Xiong (1 shared paper)Terrence Healey (1 shared paper)Mei Ji (1 shared paper)Weihua Liao (2 shared papers)
- Journals
- Radiology Artificial Intelligence (6 papers)Radiology (5 papers)Journal of Imaging Informatics in Medicine (4 papers)Neuro-Oncology Advances (2 papers)European Radiology (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ian Pan
39 papers receiving 3.1k citations
Ian Pan's Hit Papers
Peers
Comparison fields: 5 of 143
- Health Informatics 413
- Radiology, Nuclear Medicine and Imaging 1.4k
- Critical Care and Intensive Care Medicine 144
- Infectious Diseases 436
- Archeology 175
Countries citing papers authored by Ian Pan
This map shows the geographic impact of Ian Pan'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 Ian Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Pan more than expected).
Fields of papers citing papers by Ian Pan
This network shows the impact of papers produced by Ian Pan. 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 Ian Pan. The network helps show where Ian Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Pan, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT Hit paper breakdown → | 2020 | 911 |
| 2 | Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation Hit paper breakdown → | 2022 | 435 |
| 3 | 2018 | 357 | |
| 4 | 2020 | 309 | |
| 5 | Genetic drivers of heterogeneity in type 2 diabetes pathophysiology Hit paper breakdown → | 2024 | 282 |
| 6 | 2021 | 130 | |
| 7 | 2023 | 95 | |
| 8 | 2020 | 87 | |
| 9 | 2020 | 79 | |
| 10 | 2019 | 67 | |
| 11 | 2020 | 58 | |
| 12 | 2019 | 52 | |
| 13 | 2021 | 49 | |
| 14 | 2019 | 47 | |
| 15 | 2017 | 32 | |
| 16 | 2020 | 30 | |
| 17 | 2021 | 24 | |
| 18 | 2021 | 20 | |
| 19 | 2020 | 18 | |
| 20 | 2022 | 17 |
About Ian Pan
Ian Pan is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Genetics, Archeology and Genetics, having authored 43 papers that have together received 3.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), COVID-19 diagnosis using AI (10 papers), Artificial Intelligence in Healthcare and Education (9 papers), Genetic Associations and Epidemiology (5 papers), Radiology practices and education (3 papers), Glioma Diagnosis and Treatment (3 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers) and Medical Imaging and Analysis (3 papers). The work is most often cited by research in Health Informatics (413 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Critical Care and Intensive Care Medicine (144 citations), Infectious Diseases (436 citations) and Archeology (175 citations). Ian Pan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Saurabh Agarwal, Harrison Xiao Bai, Kasey Halsey, Thi My Linh Tran, Zeng Xiong, Terrence Healey, Mei Ji, Weihua Liao, Sha Li and Michael K. Atalay. Their work appears in journals such as Radiology Artificial Intelligence, Radiology, Journal of Imaging Informatics in Medicine, Neuro-Oncology Advances and European Radiology.
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.