Michael Gao
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
- Epidemiology 13
- Sepsis Diagnosis and Treatment 5
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- Machine Learning in Healthcare 9
- Co-authors
- Suresh Balu (21 shared papers)Mark Sendak (22 shared papers)Marshall Nichols (13 shared papers)Nathan Brajer (3 shared papers)Joseph Futoma (4 shared papers)William Ratliff (10 shared papers)Steven M. Lipkin (1 shared paper)Xiling Shen (1 shared paper)
- Journals
- Annals of Emergency Medicine (3 papers)npj Digital Medicine (3 papers)JAMA Network Open (2 papers)Journal of Pain and Symptom Management (2 papers)International Journal of Medical Informatics (1 paper)
- Partner nations
- United StatesPakistanChina
In The Last Decade
Michael Gao
34 papers receiving 873 citations
Peers
Comparison fields: 5 of 122
- Health Informatics 254
- Health Information Management 113
- Family Practice 30
- Artificial Intelligence 259
- Medical Laboratory Technology 9
Countries citing papers authored by Michael Gao
This map shows the geographic impact of Michael Gao'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 Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gao more than expected).
Fields of papers citing papers by Michael Gao
This network shows the impact of papers produced by Michael Gao. 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 Gao. The network helps show where Michael Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Gao, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 145 | |
| 2 | 2020 | 123 | |
| 3 | 2020 | 103 | |
| 4 | 2020 | 88 | |
| 5 | 2020 | 78 | |
| 6 | 2020 | 68 | |
| 7 | 2019 | 51 | |
| 8 | 2019 | 30 | |
| 9 | 2017 | 26 | |
| 10 | 2013 | 23 | |
| 11 | 2021 | 23 | |
| 12 | 2024 | 22 | |
| 13 | 2022 | 22 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2024 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2021 | 4 |
About Michael Gao
Michael Gao is a scholar working on Epidemiology, Artificial Intelligence, Surgery, Public Health, Environmental and Occupational Health and Health Informatics, having authored 39 papers that have together received 886 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (9 papers), Artificial Intelligence in Healthcare and Education (7 papers), Sepsis Diagnosis and Treatment (5 papers), Palliative Care and End-of-Life Issues (3 papers), Artificial Intelligence in Healthcare (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Medical Coding and Health Information (2 papers). The work is most often cited by research in Health Informatics (254 citations), Health Information Management (113 citations), Family Practice (30 citations), Artificial Intelligence (259 citations) and Medical Laboratory Technology (9 citations). Michael Gao has collaborated with scholars based in United States, Pakistan and China. Frequent co-authors include Suresh Balu, Mark Sendak, Marshall Nichols, Nathan Brajer, Joseph Futoma, William Ratliff, Steven M. Lipkin, Xiling Shen, Holly K. Dressman and Shengli Ding. Their work appears in journals such as Annals of Emergency Medicine, npj Digital Medicine, JAMA Network Open, Journal of Pain and Symptom Management and International Journal of Medical Informatics.
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.