Yunqing Qiu
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research 12
- COVID-19 Clinical Research Studies 12
- Neurology top 1%
- Health Informatics top 2%
- Cancer Research top 5%
- MicroRNA in disease regulation 9
- Cancer, Hypoxia, and Metabolism 6
- Modeling and Simulation top 2%
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- Computational Drug Discovery Methods 8
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- Metabolomics and Mass Spectrometry Studies 7
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- Antibiotic Resistance in Bacteria 7
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- Advanced Proteomics Techniques and Applications 6
- Journals
- Nucleic Acids Research (7 papers)Nature Communications (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yunqing Qiu
95 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Infectious Diseases 1.9k
- Neurology 833
- Health Informatics 73
- Cancer Research 572
- Modeling and Simulation 158
Countries citing papers authored by Yunqing Qiu
This map shows the geographic impact of Yunqing Qiu'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 Yunqing Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunqing Qiu more than expected).
Fields of papers citing papers by Yunqing Qiu
This network shows the impact of papers produced by Yunqing Qiu. 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 Yunqing Qiu. The network helps show where Yunqing Qiu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yunqing Qiu, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 40 | |
| 9 | 2022 | 26 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 19 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 62 | |
| 16 | 2020 | 12 | |
| 17 | Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case seriesbreakdown → | 2020 | 1497 |
| 18 | 2019 | 25 | |
| 19 | 2017 | 1 | |
| 20 | 2010 | 4 |
About Yunqing Qiu
Yunqing Qiu is a scholar working on Molecular Medicine, Cancer Research and Infectious Diseases, having authored 97 papers that have together received 6.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (12 papers), MicroRNA in disease regulation (9 papers), Computational Drug Discovery Methods (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Antibiotic Resistance in Bacteria (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Neurology (833 citations) and Health Informatics (73 citations). Yunqing Qiu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Feng Zhu, Yan Lou, Kaijin Xu, Lanjuan Li, Jifang Sheng, Hongliu Cai, Fengcheng Li, Xiaowei Xu, Xiaoxin Wu and Shibo Li. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.
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.