Ming Qu
Impact in
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- Traffic and Road Safety
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- Parkinson's Disease Mechanisms and Treatments
Papers in
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- COVID-19 Clinical Research Studies 2
- Co-authors
- Duane F. Shell (4 shared papers)Ian M. Newman (4 shared papers)Lazarous Mbulo (1 shared paper)Yan Chen (1 shared paper)Guang‐Ming Han (2 shared papers)Ying Deng (1 shared paper)Lınhong Wang (1 shared paper)Yan Shi (1 shared paper)
- Journals
- Preventive Medicine Reports (3 papers)Journal of School Health (2 papers)International Emergency Nursing (1 paper)Accident Analysis & Prevention (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ming Qu
25 papers receiving 368 citations
Peers
Comparison fields: 5 of 92
- Safety, Risk, Reliability and Quality 49
- Neurology 55
- Social Psychology 68
- Safety Research 26
- Obstetrics and Gynecology 14
Countries citing papers authored by Ming Qu
This map shows the geographic impact of Ming Qu'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 Ming Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Qu more than expected).
Fields of papers citing papers by Ming Qu
This network shows the impact of papers produced by Ming Qu. 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 Ming Qu. The network helps show where Ming Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Qu, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 100 | |
| 2 | 2010 | 72 | |
| 3 | 2016 | 45 | |
| 4 | 2018 | 19 | |
| 5 | 2015 | 18 | |
| 6 | 2006 | 13 | |
| 7 | 2009 | 10 | |
| 8 | 2011 | 10 | |
| 9 | 2023 | 10 | |
| 10 | 2013 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2005 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2018 | 4 |
About Ming Qu
Ming Qu is a scholar working on Epidemiology, Infectious Diseases, Neurology, Obstetrics and Gynecology and Pathology and Forensic Medicine, having authored 26 papers that have together received 374 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Pregnancy and preeclampsia studies (2 papers), Occupational Health and Safety Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Traffic and Road Safety (2 papers), Alcohol Consumption and Health Effects (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (49 citations), Neurology (55 citations), Social Psychology (68 citations), Safety Research (26 citations) and Obstetrics and Gynecology (14 citations). Ming Qu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Duane F. Shell, Ian M. Newman, Lazarous Mbulo, Yan Chen, Guang‐Ming Han, Ying Deng, Lınhong Wang, Yan Shi, Piu Chan and Han Zhang. Their work appears in journals such as Preventive Medicine Reports, Journal of School Health, International Emergency Nursing, Accident Analysis & Prevention and PLoS ONE.
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.