Jieming Qu
- Infectious Diseases top 0.02%
- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 and COVID-19 Research 8
- Neurology top 0.1%
- Modeling and Simulation top 0.1%
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- Nosocomial Infections in ICU 8
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- Pneumonia and Respiratory Infections 16
- Pneumocystis jirovecii pneumonia detection and treatment 7
- Respiratory viral infections research 6
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- Neonatal Respiratory Health Research 12
- Respiratory Support and Mechanisms 6
- Journals
- Annals of Translational Medicine (3 papers)Frontiers in Cellular and Infection Microbiology (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Jieming Qu
78 papers receiving 16.3k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Infectious Diseases 10.7k
- Neurology 4.7k
- Modeling and Simulation 1.3k
- Critical Care and Intensive Care Medicine 818
- Applied Microbiology and Biotechnology 288
Countries citing papers authored by Jieming Qu
This map shows the geographic impact of Jieming 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 Jieming Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jieming Qu more than expected).
Fields of papers citing papers by Jieming Qu
This network shows the impact of papers produced by Jieming 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 Jieming Qu. The network helps show where Jieming Qu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jieming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 1 | |
| 11 | Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive studybreakdown → | 2020 | 14267 |
| 12 | 2020 | 8 | |
| 13 | 2019 | 16 | |
| 14 | 2016 | 7 | |
| 15 | 2013 | 77 | |
| 16 | 2012 | 44 | |
| 17 | 2012 | 35 | |
| 18 | 2011 | 20 | |
| 19 | 2011 | 149 | |
| 20 | A comparative study of clinical manifestations caused by tuberculosis in immunocompromised and non-immunocompromised patients. | 2003 | 9 |
About Jieming Qu
Jieming Qu is a scholar working on Critical Care and Intensive Care Medicine, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 80 papers that have together received 16.8k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (16 papers), Neonatal Respiratory Health Research (12 papers), COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Nosocomial Infections in ICU (8 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers), Respiratory Support and Mechanisms (6 papers) and Respiratory viral infections research (6 papers). The work is most often cited by research in Infectious Diseases (10.7k citations), Neurology (4.7k citations) and Modeling and Simulation (1.3k citations). Jieming Qu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Xinxin Zhang, Min Zhou, Ying Liu, Yang Qiu, Ting Yu, Yang Han, Jiaan Xia, Nanshan Chen, Jingli Wang and Yuan Wei. Their work appears in journals such as Annals of Translational Medicine, Frontiers in Cellular and Infection Microbiology, PLoS ONE, Scientific Reports and Infection and Drug Resistance.
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.