Dan Qu
Impact in
-
- MicroRNA in disease regulation
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- RNA Research and Splicing 2
-
- Adipokines, Inflammation, and Metabolic Diseases 2
- 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)Xiaoqiang Yao (3 shared papers)
- Journals
- Blood (3 papers)Diabetes (2 papers)Cell Transplantation (2 papers)The FASEB Journal (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan Qu
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Cancer Research 130
- Endocrine and Autonomic Systems 58
- Molecular Biology 437
- Immunology 124
- Toxicology 19
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 138 | |
| 2 | 2011 | 134 | |
| 3 | 2014 | 130 | |
| 4 | 2018 | 116 | |
| 5 | 2017 | 75 | |
| 6 | 2016 | 70 | |
| 7 | 2016 | 70 | |
| 8 | 2019 | 59 | |
| 9 | 2019 | 50 | |
| 10 | 2012 | 43 | |
| 11 | 2019 | 41 | |
| 12 | 2022 | 30 | |
| 13 | 2013 | 29 | |
| 14 | 2011 | 24 | |
| 15 | 2013 | 22 | |
| 16 | 2013 | 20 | |
| 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, Epidemiology, Organic Chemistry, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cardiac pacing and defibrillation studies (2 papers), Synthesis of Organic Compounds (2 papers), RNA Research and Splicing (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Complement system in diseases (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Cancer Research (130 citations), Endocrine and Autonomic Systems (58 citations), Molecular Biology (437 citations), Immunology (124 citations) and Toxicology (19 citations). Dan Qu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yü Huang, Jian Liu, Xiaoman Xu, Yi Zhang, Chi Wai Lau, Shengqi Li, Xiao Yu Tian, Xiaoqiang Yao, Li Wang and Zhiyun Xu. Their work appears in journals such as Blood, Diabetes, Cell Transplantation, The FASEB Journal 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.