Qingqing Mao
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
- Epidemiology 17
- Sepsis Diagnosis and Treatment 12
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- Machine Learning in Healthcare 10
- Co-authors
- Ritankar Das (32 shared papers)Jacob Calvert (24 shared papers)Jana Hoffman (20 shared papers)Melissa Jay (5 shared papers)Uli K. Chettipally (4 shared papers)Gina Barnes (20 shared papers)Anurag Garikipati (20 shared papers)Christopher Barton (3 shared papers)
- Journals
- Monthly Notices of the Royal Astronomical Society (2 papers)American Journal of Infection Control (2 papers)Annals of Vascular Surgery (1 paper)Scientific Reports (1 paper)Leukemia Research (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Qingqing Mao
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 134
- Health Informatics 93
- Family Practice 57
- Health Information Management 119
- Instrumentation 56
- Artificial Intelligence 371
Countries citing papers authored by Qingqing Mao
This map shows the geographic impact of Qingqing Mao'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 Qingqing Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingqing Mao more than expected).
Fields of papers citing papers by Qingqing Mao
This network shows the impact of papers produced by Qingqing Mao. 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 Qingqing Mao. The network helps show where Qingqing Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingqing Mao, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 229 | |
| 2 | 2014 | 106 | |
| 3 | 2022 | 50 | |
| 4 | 2016 | 50 | |
| 5 | 2021 | 43 | |
| 6 | 2016 | 42 | |
| 7 | 2017 | 40 | |
| 8 | 2016 | 37 | |
| 9 | 2017 | 34 | |
| 10 | 2024 | 33 | |
| 11 | 2021 | 32 | |
| 12 | 2021 | 26 | |
| 13 | 2021 | 24 | |
| 14 | 2022 | 22 | |
| 15 | 2021 | 22 | |
| 16 | 2014 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2024 | 16 | |
| 19 | 2016 | 15 | |
| 20 | 2021 | 15 |
About Qingqing Mao
Qingqing Mao is a scholar working on Epidemiology, Artificial Intelligence, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (12 papers), Machine Learning in Healthcare (10 papers), Autism Spectrum Disorder Research (5 papers), Behavioral and Psychological Studies (4 papers), Galaxies: Formation, Evolution, Phenomena (4 papers), COVID-19 diagnosis using AI (3 papers), Healthcare Technology and Patient Monitoring (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Health Informatics (93 citations), Family Practice (57 citations), Health Information Management (119 citations), Instrumentation (56 citations) and Artificial Intelligence (371 citations). Qingqing Mao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ritankar Das, Jacob Calvert, Jana Hoffman, Melissa Jay, Uli K. Chettipally, Gina Barnes, Anurag Garikipati, Christopher Barton, Yaniv Kerem and Grant Fletcher. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, American Journal of Infection Control, Annals of Vascular Surgery, Scientific Reports and Leukemia Research.
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.