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
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- Artificial Intelligence in Healthcare and Education 7
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- Sepsis Diagnosis and Treatment 4
- 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)Holly K. Dressman (1 shared paper)Iliyan D. Iliev (1 shared paper)
- Journals
- npj Digital Medicine (3 papers)Annals of Emergency Medicine (3 papers)Journal of Pain and Symptom Management (2 papers)JAMA Network Open (2 papers)Global Spine Journal (1 paper)
- Partner nations
- United StatesChinaPakistan
In The Last Decade
Michael Gao
35 papers receiving 975 citations
Peers
Comparison fields: 5 of 121
- Health Informatics 247
- Health Information Management 88
- Family Practice 25
- Artificial Intelligence 217
- Epidemiology 152
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 159 | |
| 2 | 2020 | 144 | |
| 3 | 2020 | 119 | |
| 4 | 2020 | 92 | |
| 5 | 2020 | 91 | |
| 6 | 2020 | 75 | |
| 7 | 2019 | 56 | |
| 8 | 2019 | 32 | |
| 9 | 2021 | 27 | |
| 10 | 2024 | 26 | |
| 11 | 2013 | 26 | |
| 12 | 2017 | 26 | |
| 13 | 2022 | 24 | |
| 14 | 2023 | 12 | |
| 15 | 2021 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2022 | 5 |
About Michael Gao
Michael Gao is a scholar working on Health Informatics, Epidemiology, Molecular Biology, Surgery and Artificial Intelligence, having authored 38 papers that have together received 987 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (7 papers), Machine Learning in Healthcare (5 papers), Sepsis Diagnosis and Treatment (4 papers), Artificial Intelligence in Healthcare (2 papers), Bioinformatics and Genomic Networks (2 papers), Inflammatory Bowel Disease (2 papers), Explainable Artificial Intelligence (XAI) (1 paper) and Appendicitis Diagnosis and Management (1 paper). The work is most often cited by research in Health Informatics (247 citations), Health Information Management (88 citations), Family Practice (25 citations), Artificial Intelligence (217 citations) and Epidemiology (152 citations). Michael Gao has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Suresh Balu, Mark Sendak, Marshall Nichols, Nathan Brajer, Joseph Futoma, William Ratliff, Holly K. Dressman, Iliyan D. Iliev, Shengli Ding and Anders B. Dohlman. Their work appears in journals such as npj Digital Medicine, Annals of Emergency Medicine, Journal of Pain and Symptom Management, JAMA Network Open and Global Spine Journal.
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.