Qing Miao
Impact in
- Catalysis top 2%
- Catalysis and Oxidation Reactions
- Catalysts for Methane Reforming
- Cancer Research top 2%
Papers in
-
- Angiogenesis and VEGF in Cancer 13
- Oncology 21
- Co-authors
- William C. Sessa (6 shared papers)Lee Chao (6 shared papers)Julie Chao (6 shared papers)Xianjun Niu (2 shared papers)Jianguo Wang (2 shared papers)Zhangfeng Qin (3 shared papers)Jie Gao (2 shared papers)Mei Dong (3 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (6 papers)PLoS ONE (5 papers)International Journal of Molecular Sciences (5 papers)Blood (3 papers)Journal of Proteomics (3 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Qing Miao
191 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 152
- Catalysis 400
- Cancer Research 625
- Molecular Biology 2.4k
- Molecular Medicine 164
- Inorganic Chemistry 452
Countries citing papers authored by Qing Miao
This map shows the geographic impact of Qing Miao'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 Qing Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Miao more than expected).
Fields of papers citing papers by Qing Miao
This network shows the impact of papers produced by Qing Miao. 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 Qing Miao. The network helps show where Qing Miao may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Miao, 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 201 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 428 | |
| 2 | 2014 | 388 | |
| 3 | 2004 | 212 | |
| 4 | 2014 | 193 | |
| 5 | 2016 | 163 | |
| 6 | 2005 | 156 | |
| 7 | 2016 | 154 | |
| 8 | 2002 | 146 | |
| 9 | 1997 | 131 | |
| 10 | 2006 | 128 | |
| 11 | 2004 | 123 | |
| 12 | 2013 | 120 | |
| 13 | 2019 | 117 | |
| 14 | 2012 | 102 | |
| 15 | 2015 | 102 | |
| 16 | 2018 | 101 | |
| 17 | 2015 | 94 | |
| 18 | 2012 | 83 | |
| 19 | 2013 | 83 | |
| 20 | 2014 | 83 |
About Qing Miao
Qing Miao is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Surgery and Cell Biology, having authored 201 papers that have together received 6.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 papers), Catalytic Processes in Materials Science (10 papers), Cholesterol and Lipid Metabolism (7 papers), Nanoparticle-Based Drug Delivery (7 papers), Axon Guidance and Neuronal Signaling (7 papers), Tuberculosis Research and Epidemiology (7 papers), Catalysis and Oxidation Reactions (7 papers) and interferon and immune responses (6 papers). The work is most often cited by research in Catalysis (400 citations), Cancer Research (625 citations), Molecular Biology (2.4k citations), Molecular Medicine (164 citations) and Inorganic Chemistry (452 citations). Qing Miao has collaborated with scholars based in China, United States and Finland. Frequent co-authors include William C. Sessa, Lee Chao, Julie Chao, Xianjun Niu, Jianguo Wang, Zhangfeng Qin, Jie Gao, Mei Dong, Weibin Fan and Guofu Wang. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, PLoS ONE, International Journal of Molecular Sciences, Blood and Journal of Proteomics.
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.