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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- Protein purification and stability 2
- Biomedical Text Mining and Ontologies 2
- Bioinformatics and Genomic Networks 2
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- Artificial Intelligence in Healthcare 2
- Co-authors
- Juan Zhao (6 shared papers)Wei‐Qi Wei (6 shared papers)Joshua C. Denny (6 shared papers)QiPing Feng (5 shared papers)Xue Li (1 shared paper)Aliya Gifford (1 shared paper)Evropi Τheodoratou (1 shared paper)Lisa Bastarache (1 shared paper)
- Journals
- mAbs (2 papers)Journal of Biomedical Informatics (2 papers)Scientific Reports (1 paper)Nature Communications (1 paper)Frontiers in Medicine (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Patrick Wu
13 papers receiving 570 citations
Patrick Wu's Hit Papers
Peers
Comparison fields: 5 of 101
- Health Informatics 41
- Health Information Management 69
- Computational Mathematics 8
- Genetics 133
- Artificial Intelligence 127
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 | 255 |
| 2 | 2019 | 123 | |
| 3 | 2019 | 34 | |
| 4 | 2022 | 32 | |
| 5 | 2023 | 32 | |
| 6 | 2019 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2024 | 14 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2024 | 7 | |
| 12 | 1991 | 5 | |
| 13 | 2025 | 1 |
About Patrick Wu
Patrick Wu is a scholar working on Molecular Biology, Health Information Management, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 13 papers that have together received 575 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Machine Learning in Healthcare (3 papers), Computational Drug Discovery Methods (2 papers), Protein purification and stability (2 papers), Artificial Intelligence in Healthcare (2 papers), Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (2 papers) and Biosimilars and Bioanalytical Methods (2 papers). The work is most often cited by research in Health Informatics (41 citations), Health Information Management (69 citations), Computational Mathematics (8 citations), Genetics (133 citations) and Artificial Intelligence (127 citations). Patrick Wu has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Juan Zhao, Wei‐Qi Wei, Joshua C. Denny, QiPing Feng, Xue Li, Aliya Gifford, Evropi Τheodoratou, Lisa Bastarache, Robert J. Carroll and Harry Campbell. Their work appears in journals such as mAbs, Journal of Biomedical Informatics, Scientific Reports, Nature Communications and Frontiers in Medicine.
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.