Dan Qu
Impact in
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- MicroRNA in disease regulation
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- RNA Research and Splicing 2
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- Cardiac pacing and defibrillation studies 3
- Co-authors
- Yü Huang (9 shared papers)Jian Liu (6 shared papers)Xiaoman Xu (7 shared papers)Yi Zhang (6 shared papers)Chi Wai Lau (5 shared papers)Shengqi Li (3 shared papers)Xiao Yu Tian (4 shared papers)Zhiyun Xu (4 shared papers)
- Journals
- Blood (3 papers)Diabetes (2 papers)Cell Transplantation (2 papers)Scientific Reports (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dan Qu
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 151
- Endocrine and Autonomic Systems 66
- Molecular Biology 515
- Immunology 151
- Physiology 30
Countries citing papers authored by Dan Qu
This map shows the geographic impact of Dan 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 Dan Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Qu more than expected).
Fields of papers citing papers by Dan Qu
This network shows the impact of papers produced by Dan 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 Dan Qu. The network helps show where Dan Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 137 | |
| 2 | 2011 | 134 | |
| 3 | 2014 | 127 | |
| 4 | 2018 | 113 | |
| 5 | 2017 | 73 | |
| 6 | 2016 | 70 | |
| 7 | 2016 | 66 | |
| 8 | 2019 | 58 | |
| 9 | 2019 | 49 | |
| 10 | 2012 | 43 | |
| 11 | 2019 | 40 | |
| 12 | 2022 | 29 | |
| 13 | 2013 | 28 | |
| 14 | 2011 | 23 | |
| 15 | 2013 | 22 | |
| 16 | 2013 | 19 | |
| 17 | Effect of lycopene on the vascular endothelial function and expression of inflammatory agents in hyperhomocysteinemic rats. | 2007 | 18 |
| 18 | 2013 | 14 | |
| 19 | 2014 | 14 | |
| 20 | 2010 | 13 |
About Dan Qu
Dan Qu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Immunology and Organic Chemistry, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant chemical constituents analysis (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Multiple Myeloma Research and Treatments (3 papers), Synthesis and biological activity (3 papers), Synthesis of Organic Compounds (3 papers), Cardiac pacing and defibrillation studies (3 papers), RNA Research and Splicing (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Cancer Research (151 citations), Endocrine and Autonomic Systems (66 citations), Molecular Biology (515 citations), Immunology (151 citations) and Physiology (30 citations). Dan Qu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yü Huang, Jian Liu, Xiaoman Xu, Yi Zhang, Chi Wai Lau, Shengqi Li, Xiao Yu Tian, Zhiyun Xu, Xiaoqiang Yao and Li Wang. Their work appears in journals such as Blood, Diabetes, Cell Transplantation, Scientific Reports and International Journal of Cardiology.
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.