Michael Pang
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
- Surgery 5
- Hip disorders and treatments 4
- Orthopaedic implants and arthroplasty 4
- Total Knee Arthroplasty Outcomes 4
- Hip and Femur Fractures 1
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- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Arya Rao (3 shared papers)Marc D. Succi (3 shared papers)John Kim (3 shared papers)Keith J. Dreyer (3 shared papers)Winston Lie (3 shared papers)Meghana Kamineni (2 shared papers)Adam Landman (1 shared paper)A Prasad (1 shared paper)
- Journals
- The Journal of Arthroplasty (1 paper)Bone & Joint Open (1 paper)Arthroplasty Today (1 paper)Journal of Medical Systems (1 paper)Arthroscopy The Journal of Arthroscopic and Related Surgery (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Pang
7 papers receiving 482 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Health Informatics 370
- Family Practice 50
- Radiology, Nuclear Medicine and Imaging 218
- Artificial Intelligence 181
- Health Information Management 24
Countries citing papers authored by Michael Pang
This map shows the geographic impact of Michael Pang'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 Michael Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pang more than expected).
Fields of papers citing papers by Michael Pang
This network shows the impact of papers produced by Michael Pang. 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 Michael Pang. The network helps show where Michael Pang may publish in the future.
Co-authors
The 21 scholars most cited alongside Michael Pang, 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 | Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study Hit paper breakdown → | 2023 | 228 |
| 2 | 2023 | 189 | |
| 3 | 2022 | 22 | |
| 4 | 2024 | 18 | |
| 5 | 2022 | 15 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 5 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 0 |
About Michael Pang
Michael Pang is a scholar working on Surgery, Health Informatics, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 9 papers that have together received 486 indexed citations. Recurring topics across this work include Hip disorders and treatments (4 papers), Orthopaedic implants and arthroplasty (4 papers), Total Knee Arthroplasty Outcomes (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Medical Malpractice and Liability Issues (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper), COVID-19 diagnosis using AI (1 paper) and Hip and Femur Fractures (1 paper). The work is most often cited by research in Health Informatics (370 citations), Family Practice (50 citations), Radiology, Nuclear Medicine and Imaging (218 citations), Artificial Intelligence (181 citations) and Health Information Management (24 citations). Michael Pang has collaborated with scholars based in United States. Frequent co-authors include Arya Rao, Marc D. Succi, John Kim, Keith J. Dreyer, Winston Lie, Meghana Kamineni, Adam Landman, A Prasad, Prem N. Ramkumar and Teja S. Polisetty. Their work appears in journals such as The Journal of Arthroplasty, Bone & Joint Open, Arthroplasty Today, Journal of Medical Systems and Arthroscopy The Journal of Arthroscopic and Related Surgery.
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.