Patrick Wu
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Electronic Health Records Systems 1
- Medical Coding and Health Information 1
- Artificial Intelligence in Healthcare 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Juan Zhao (6 shared papers)Wei-Qi Wei (6 shared papers)Joshua C. Denny (6 shared papers)QiPing Feng (5 shared papers)Evropi Τheodoratou (1 shared paper)Xiangrui Meng (1 shared paper)Robert J. Carroll (1 shared paper)Xue Li (1 shared paper)
- Journals
- mAbs (2 papers)Journal of Biomedical Informatics (2 papers)Frontiers in Immunology (1 paper)Frontiers in Pharmacology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Patrick Wu
13 papers receiving 754 citations
Patrick Wu's Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 54
- Health Information Management 116
- Computational Mathematics 5
- Genetics 189
- Artificial Intelligence 173
Countries citing papers authored by Patrick Wu
This map shows the geographic impact of Patrick Wu'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 Patrick Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Wu more than expected).
Fields of papers citing papers by Patrick Wu
This network shows the impact of papers produced by Patrick Wu. 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 Patrick Wu. The network helps show where Patrick Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Wu, 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 | Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation Hit paper breakdown → | 2019 | 354 |
| 2 | 2019 | 159 | |
| 3 | 2023 | 46 | |
| 4 | 2022 | 44 | |
| 5 | 2019 | 34 | |
| 6 | 2019 | 32 | |
| 7 | 2021 | 31 | |
| 8 | 2024 | 18 | |
| 9 | 2024 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2025 | 7 | |
| 13 | 2025 | 3 |
About Patrick Wu
Patrick Wu is a scholar working on Health Information Management, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Geriatrics and Gerontology and Toxicology, having authored 13 papers that have together received 765 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Electronic Health Records Systems (1 paper), COVID-19 Clinical Research Studies (1 paper), Biomedical Text Mining and Ontologies (1 paper), Medical Coding and Health Information (1 paper), Artificial Intelligence in Healthcare (1 paper) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Health Informatics (54 citations), Health Information Management (116 citations), Computational Mathematics (5 citations), Genetics (189 citations) and Artificial Intelligence (173 citations). Patrick Wu has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Juan Zhao, Wei-Qi Wei, Joshua C. Denny, QiPing Feng, Evropi Τheodoratou, Xiangrui Meng, Robert J. Carroll, Xue Li, Lisa A. Bastarache and Aliya Gifford. Their work appears in journals such as mAbs, Journal of Biomedical Informatics, Frontiers in Immunology, Frontiers in Pharmacology and Nature Communications.
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.