Michael Wu
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
-
- Electronic Health Records Systems
Papers in
- Surgery 8
- Kawasaki Disease and Coronary Complications 5
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- Health Literacy and Information Accessibility 2
- Co-authors
- Brian G. DeRubertis (1 shared paper)David A. Rigberg (1 shared paper)Hugh A. Gelabert (1 shared paper)Ankur Chandra (1 shared paper)Juan Carlos Jiménez (1 shared paper)Peter F. Lawrence (1 shared paper)Dean Schillinger (2 shared papers)Laura D. Zambrano (6 shared papers)
- Journals
- Clinical Infectious Diseases (2 papers)Open Forum Infectious Diseases (2 papers)JAMA Network Open (1 paper)The Pediatric Infectious Disease Journal (1 paper)Vaccine (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Michael Wu
20 papers receiving 274 citations
Peers
Comparison fields: 5 of 72
- Internal Medicine 88
- Health Information Management 31
- Emergency Medical Services 33
- Surgery 197
- Dermatology 30
Countries citing papers authored by Michael Wu
This map shows the geographic impact of Michael 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 Michael Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wu more than expected).
Fields of papers citing papers by Michael Wu
This network shows the impact of papers produced by Michael 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 Michael Wu. The network helps show where Michael Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 91 | |
| 2 | 2015 | 55 | |
| 3 | 2007 | 35 | |
| 4 | 2021 | 30 | |
| 5 | 2022 | 29 | |
| 6 | 2016 | 11 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2009 | 1 |
About Michael Wu
Michael Wu is a scholar working on Surgery, General Health Professions, Epidemiology, Infectious Diseases and Biomedical Engineering, having authored 21 papers that have together received 298 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (5 papers), Mechanical Circulatory Support Devices (3 papers), Health Literacy and Information Accessibility (2 papers), COVID-19 Clinical Research Studies (2 papers), Healthcare Systems and Technology (2 papers), COVID-19 Impact on Reproduction (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Internal Medicine (88 citations), Health Information Management (31 citations), Emergency Medical Services (33 citations), Surgery (197 citations) and Dermatology (30 citations). Michael Wu has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Brian G. DeRubertis, David A. Rigberg, Hugh A. Gelabert, Ankur Chandra, Juan Carlos Jiménez, Peter F. Lawrence, Dean Schillinger, Laura D. Zambrano, Edward H. Yelin and Angela P. Campbell. Their work appears in journals such as Clinical Infectious Diseases, Open Forum Infectious Diseases, JAMA Network Open, The Pediatric Infectious Disease Journal and Vaccine.
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.