Michael Gao
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education 7
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- Artificial Intelligence in Healthcare 2
- Family Practice top 10%
- Artificial Intelligence top 5%
- Machine Learning in Healthcare 9
- Medical Laboratory Technology top 10%
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- Sepsis Diagnosis and Treatment 5
- Chronic Disease Management Strategies 2
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- Palliative Care and End-of-Life Issues 3
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- Frailty in Older Adults 2
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- Respiratory Support and Mechanisms 2
- Co-authors
- Mark SendakSuresh BaluMarshall NicholsNathan BrajerJoseph FutomaWilliam RatliffSteven M. LipkinAnders B. Dohlman
- Journals
- Annals of Emergency Medicine (3 papers)npj Digital Medicine (3 papers)Journal of Pain and Symptom Management (2 papers)
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 145 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2020 | 123 | |
| 18 | 2019 | 51 | |
| 19 | 2013 | 23 | |
| 20 | 2011 | 0 |
About Michael Gao
Michael Gao is a scholar working on Health Informatics, Health Information Management, Family Practice, Geriatrics and Gerontology and Epidemiology, 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), Chronic Disease Management Strategies (2 papers), Frailty in Older Adults (2 papers), Respiratory Support and Mechanisms (2 papers) and Artificial Intelligence in Healthcare (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 Mark Sendak, Suresh Balu, Marshall Nichols, Nathan Brajer, Joseph Futoma, William Ratliff, Steven M. Lipkin, Anders B. Dohlman, Xiling Shen and Iliyan D. Iliev. Their work appears in journals such as Annals of Emergency Medicine, npj Digital Medicine, Journal of Pain and Symptom Management, JAMA Network Open and Neuroradiology.
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.